A Robust and Intelligent Control System for Smart Home Devices with IoT Failure Detection

A Robust and Intelligent Control System for Smart Home Devices with IoT Failure Detection | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article A Robust and Intelligent Control System for Smart Home Devices with IoT Failure Detection Hemant Ojha This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7084816/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Smart home automation has significantly advanced with the integration of Inter- net of Things (IoT) technologies, enabling users to control electronic appliances remotely with high efficiency and convenience. However, the growing dependence on IoT systems introduces critical vulnerabilities, particularly when connectiv- ity or device failures occur. This paper presents a robust and intelligent control system for smart home devices that ensures continuous operation even in the event of IoT failures. The proposed system features a dual-mode control mecha- nism?automatic control via IoT and manual override through a traditional switch interface?allowing seamless transition between modes. Additionally, it incorpo- rates failure detection components to monitor system health and trigger fallback operations as needed. By combining reliability, fault tolerance, and user-centric design, this approach addresses common weaknesses in existing smart home archi- tectures. The study emphasizes resilience and adaptability as key components in the next generation of smart home solutions. IoT Smart Home Hybrid Control Robust Control Smart Switch Figures Figure 1 Figure 2 Figure 3 Figure 4 1 Introduction Smart homes have transformed modern living by enabling automation, energy effi- ciency, and remote control of electronic appliances through interconnected devices and IoT (Internet of Things) technologies. These systems leverage cloud computing, artifi- cial intelligence (AI), wireless communication, and embedded sensors to provide users with a seamless and responsive environment tailored to their preferences. Key features such as automated lighting, climate control, security monitoring, and voice-assisted commands have made smart homes increasingly popular and convenient. Despite these advancements, the reliability of smart home systems remains a press- ing concern. Most IoT-based control systems rely heavily on continuous connectivity and centralized cloud infrastructure. When IoT components fail?due to hardware faults, software bugs, or network disruptions?the control of essential appliances can be lost, potentially affecting user comfort, safety, and energy management. This paper addresses these limitations by proposing a robust and intelligent con- trol system designed to ensure uninterrupted operation of smart home devices, even during IoT failures. The proposed solution integrates a dual-mode control mechanism that allows seamless switching between IoT-based automation and manual control via traditional electric switches. Additionally, it incorporates failure detection features to monitor system health and proactively engage fallback operations when disruptions are detected. By focusing on resilience, user autonomy, and failure mitigation, the proposed system aims to enhance the dependability and usability of smart home environments, especially in real-world scenarios where IoT reliability cannot be guaranteed. 2 Related Work The existing literature on smart home automation highlights significant advancements, methodologies, and persistent challenges in the implementation of IoT-based home systems. The existing literature on smart home automation demonstrates significant progress in the integration of IoT technologies, offering a variety of approaches to improve convenience, energy efficiency, and safety. However, persistent challenges remain, particularly concerning system reliability and failure resilience. Yunardi (2022) developed an ESP8266-enabled relay module integrated with the Blynk app, enabling real-time appliance control and state monitoring. The system provides immediate feedback to the user, ensuring synchronization between device status and user commands?an essential feature for usability and reliability. Naeem (2021) proposed a cost-effective IoT-based home automation system fea- turing a customizable digital control panel and integrated environmental sensors for temperature, humidity, and voltage. This setup enhanced both safety and operational efficiency by enabling users to monitor real-time environmental conditions and control appliances accordingly. Zeyad (2020) introduced a microcontroller-based system incorporating dual pass- word authentication through the HACA-App. This dual-layer security model mitigates unauthorized access risks and supports various connectivity options, including Wi-Fi, Bluetooth, and mobile data, offering secure and flexible remote operation. Singh (2019) presented a hybrid control system utilizing a Raspberry Pi and Attiny88 microcontroller that supports both web-based and manual operation. This dual-mode approach ensures continued functionality during internet outages, aligning closely with the resilience objectives of the present study. Joha (2022) emphasized safety in smart home environments by designing an IoT- based control and protection system using a NodeMCU and Blynk app. The system integrates sensors for gas leaks, fire, and overheating, and automatically initiates safety protocols such as device shutdown and user alerts?highlighting the role of proactive hazard management. Sugumar (2023) proposed a low-cost smart lighting solution incorporating Light Dependent Resistors (LDRs) and motion sensors to enable automated lighting control. This system effectively reduces unnecessary power usage, improving energy efficiency and supporting sustainability goals. Hema (2023) implemented an ARM-based adaptive appliance control system that adjusts fan speed and light intensity based on ambient conditions. Through GSM- based communication, users can monitor and control devices remotely, enhancing home management flexibility. Kadam (2022) conducted reliability testing on electromagnetic relays used in IoT systems. Using techniques like Highly Accelerated Life Testing (HALT) and Reliability Demonstration Testing (RDT), the study identified common failure mechanisms such as coil resistance changes and mechanical wear?factors critical to ensuring long-term device durability. Azad (2022) developed a scalable, voice-controlled home automation system using NodeMCU and relay modules. By eliminating the need for a central server and offering voice assistant integration, the system simplifies user interaction and reduces energy overhead. Cao (2023) presented a Raspberry Pi-based smart home solution that integrates various sensors for real-time data exchange, mobile app control, and voice recognition. The design supports multiple operational modes, emphasizing both versatility and system adaptability. These studies highlight considerable advancements in smart home technology. How- ever, most focus on functionality, efficiency, and convenience, while fewer address system behavior during IoT failures. This gap underlines the need for resilient archi- tectures that ensure uninterrupted operation through fallback mechanisms?a challenge this paper aims to resolve through the design of a dual-mode control system with built-in IoT failure detection. 3 Literature Gap A thorough review of recent research and commercial smart home systems reveals com- mon architectural components and recurring limitations. Typically, IoT-based home automation platforms include the following elements: Controller Hardware: Microcontrollers such as Raspberry Pi or NodeMCU serve as the central processing units for device control. Solid-State Relays: These are commonly used for seamless switching of electronic appliances. Power Supply: Ensures consistent power delivery to all IoT components. Cloud Infrastructure: Enables remote access, data synchronization, and control through the internet. Control Algorithms: Manage automation sequences and device interactions. End-User Interfaces: Mobile apps, web dashboards, and voice assistants (e.g., Alexa, Google Assistant) provide intuitive control. Third-Party Integrations: Enhance functionality through platforms like Amazon Alexa and Google Home. While recent advancements have introduced hybrid systems capable of both manual and remote control, most implementations still lack robust mechanisms for failure detection and fallback operation. A recurring theme in the literature is the emphasis on automation and user convenience?often at the expense of system resilience. In the event of IoT failure?due to network loss, hardware malfunction, or soft- ware bugs?users may entirely lose access to essential home functions, such as lighting, climate control, or security. In many cases, recovery requires technical intervention, which is impractical for the average user. This analysis highlights a critical gap: the absence of intelligent, fault-tolerant control systems capable of detecting IoT failures and ensuring uninterrupted appliance operation. There is a growing need for smart home designs that combine automation with resilience?featuring real-time failure monitoring, manual override capabilities, and seamless mode transitions. Addressing this gap is essential for improving the reliability, safety, and usability of next-generation smart home systems. 4 Proposed Methodology The proposed system addresses the critical issues associated with the failure of IoT- based smart home automation by introducing a robust and reliable control mechanism. The proposed system offers dual-mode control?manual and IoT-based?that func- tions simultaneously. Both control paths are always active and remain synchronized, enabling users to operate appliances via traditional switches or remote interfaces interchangeably: IoT Mode: Allows remote control and automation of appliances via cloud- connected smart home systems and mobile interfaces. Manual Mode: Provides direct physical control through traditional two-way switches, always available and synchronized with IoT commands. The core innovation lies in the system?s ability to seamlessly switch between these modes to ensure uninterrupted appliance control. It is designed for direct integration into standard electric boards and includes the following key components: Processing Unit: Acts as the central controller. It receives commands from user interfaces and activates relays to turn devices ON/OFF. In failure scenarios, it enables manual override through physical switches. Switched-Mode Power Supply (SMPS): Provides a stable DC power supply to all connected components, ensuring consistent performance and energy efficiency. Relay Circuit: Functions as the switching mechanism. It is wired to the P-phase input and responds to signals from the processing unit to control appliance state. Two-Way Switch: Installed within the electric board, with terminals L1 and L2 connected to the Normally Closed (NC) and Normally Open (NO) lines of the relay. The common terminal serves either as an output to the appliance or an input from the power line, depending on the configuration. 4.1 System Operation In Normal Mode , the smart home controller communicates through the cloud and executes automation commands for appliances. In case of connectivity failure or con- troller malfunction, the system transitions to Manual Mode , enabling direct physical control through the two-way switch circuit. To improve system safety, an AC detection unit?such as an optocoupler?is included to monitor power status and ensure accurate appliance state reporting. This architec- ture supports ease of installation, scalability, and compatibility with a wide range of smart devices. 4.2 Wiring Scenarios Scenario 1: Output Control via Common Terminal A two-way switch is configured in such a way that the L1 and L2 terminals are connected to the NC and NO lines of the relay, respectively. The common terminal is used as the output terminal and is connected to the AC detection circuit (e.g., optocoupler), and then to the P-phase line powering the appliance. Scenario 2: Input Supply via Common Terminal In this configuration, the L1 and L2 terminals again connect to the NC and NO lines of the relay. However, the common terminal now functions as the input P-phase line. This setup enables a reversed switching logic, which can be used in certain fail-safe applications. 4.3 Relay Configuration and Pinout The relay module used in this system includes labeled terminals for Normally Closed (NC), Normally Open (NO), and Common (COM), which are wired based on the desired switching logic. The relay is controlled by signals from the processing unit and ensures isolation between control and power circuits. 4.4 Device Integration Example An example wiring diagram for a single-point smart switch installation is shown below, where IoT commands and physical switching are combined for dual-mode appliance control. In summary, the proposed control system offers a robust solution to common smart home automation challenges. Its dual-mode capability, AC detection integration, and intuitive design make it suitable for real-world deployment where resilience and safety are critical. 5 Algorithms 6 Results and Analysis The proposed dual-mode control system was evaluated for its ability to maintain reliable operation of smart home appliances under both normal and failure conditions. The assessment focused on system behavior during IoT control, manual override, state synchronization, and real-time failure detection via AC monitoring. 6.1 Dual-Mode Operation Validation The system supports simultaneous IoT-based commands and manual switch control. Tests confirmed that both control paths remain synchronized, allowing users to operate appliances via a mobile app or physical switch interchangeably, without conflict or state mismatch. 6.2 Control Comparison with Existing Modes Table 1 summarizes the differences between traditional single-mode IoT systems, dual- mode systems, and the proposed method across key control capabilities. Table 1 Comparison of Control Features Controls Single Mode Dual Mode This Research Physical Switch NO YES YES IoT Control YES YES YES Voice YES YES YES Additional Control NO NO YES 6.3 Appliance Behavior During Failures Table 2 presents system behavior when either the physical switch or IoT network experiences a failure. Only the proposed system continues to offer control in all cases. Table 2 Control Capability During Failures Failure Condition Single (Manual) Single Mode (IoT) Dual Mode (Existing) Dual Mode (This Research) Working on Physical Switch Failure Working on IoT Failure YES NO NO YES YES (By IOT) NO (Both) YES YES 6.4 Appliance State Monitoring and Validation To ensure precise control, we implemented a state-tracking algorithm (see Algorithm 1 ) that compares the expected appliance state?derived from the most recent user com- mand?with the actual state reported by the AC detection circuit. Table 3 presents the logic mapping for various relay and switch configurations. Table 3 Appliance State Mapping: Relay and 2-Way Switch Logic Appliance State IOT Relay 2-Way Switch ON NC UP OFF NC DOWN OFF NO UP ON NO DOWN 6.5 Failure Detection Analysis Applying the algorithm from Section 1 , we monitored for mismatches between com- manded and detected states. In scenarios where relays failed or appliances were disconnected, the AC detector flagged a discrepancy. The system then: Logged the failure event. Issued an alert to the user interface. Continued to offer both IoT and manual control while preserving safety. 6.6 Scenario Validation Figures 1 and 2 illustrate the two wiring scenarios tested. In both, appliance c 7 Conclusion This research presents a robust and intelligent control system designed to maintain the reliable operation of smart home devices, even in the event of IoT system failures. By integrating a dual-mode architecture?combining IoT-based automation with manual control via traditional switches?the system ensures continuous functionality regardless of network or device disruptions. The inclusion of an IoT failure detection mechanism further enhances system resilience by proactively identifying faults and activating fallback control modes. Key hardware components such as the processing unit, relay circuit, switched-mode power supply (SMPS), and AC detection units contribute to the system?s adaptability, safety, and ease of installation. This hybrid approach addresses a critical gap in current smart home architectures by prioritizing fault tolerance and user accessibility alongside intelligent automation. Overall, the proposed system offers a practical and scalable solution for increas- ing the reliability and user satisfaction of smart home environments. It demonstrates that robust design and intelligent failure handling are essential for future-ready home automation technologies. 8 Future Scope While the proposed system effectively addresses the challenge of uninterrupted appli- ance control during IoT failures, several enhancements can be explored to further increase its functionality, intelligence, and adaptability. Sensor Integration: Future versions can incorporate additional physical sensors, such as temperature, humidity, motion, and gas sensors, to provide context-aware control and improve safety, comfort, and energy efficiency. AI-Based Decision Making: By integrating machine learning algorithms, the sys- tem could learn user behavior patterns and automatically adjust device operations, offering predictive and personalized automation. Smart Notifications: Implementation of smart alert mechanisms via mobile apps or voice assistants can notify users in real time about unusual behavior or failure conditions. Mobile and Cloud Integration: Further cloud-based features such as remote logging, analytics dashboards, or integration with smart assistants like Alexa, Siri, or Google Assistant can enhance usability and control flexibility. Scalability and Standardization: Future designs may focus on developing a modular, plug-and-play architecture that complies with IoT industry standards to support large-scale smart building deployments. Overall, the system provides a strong foundation for intelligent, fail-safe home automation and offers significant opportunities for expansion in both functionality and deployment scale. Declarations Supplementary Information. No supplementary files are associated with this manuscript. Acknowledgements. Not applicable. Funding: Not applicable. Conflict of interest: The author declares no conflict of interest. Ethics approval and consent to participate: Not applicable. Consent for publication: Not applicable. Data availability: No datasets were generated or analyzed during the current study. Materials availability: Not applicable. Code availability: Not applicable. Author contribution: The author solely designed, implemented, tested, and wrote the manuscript. References R. T. Yunardi, “Relay Module IoT Devices for Remote Controlling of Home Automation System,” Proc. 2nd Int. Conf. on Electronic and Electrical Engineer- ing and Intelligent System (ICE3IS) , 2022. DOI: 978-1-6654-6541-0/22. Copyright 2022 IEEE. M. Naeem, “Customizable Digital Control System for Domestic Application with IoT Capability,” Proc. Int. Conf. on Computing, Electronic and Electri- cal Engineering (ICE Cube) , 2021. DOI: 978-1-6654-0154-8/21. Copyright 2021 IEEE. M. Zeyad, “Micro-Controller-based Home Appliances Controlling with Dual Veri- fication Application,” Proc. Int. Conf. on Computational Performance Evaluation (ComPE) , Shillong, India, July 2?4, 2020. A. P. Singh, “IoT Based Smart Home Automation Enabled with Manual Mode Switch Control,” Proc. 2nd Int. Conf. on Intelligent Communication and Computational Techniques (ICCT) , Manipal University, Jaipur, 2019. M. I. Joha, “IoT-Based Smart Control and Protection System for Home Appli- ances,” Proc. 25th Int. Conf. on Computer and Information Technology (ICCIT) , Cox?s Bazar, Bangladesh, December 2022. S. J. Sugumar, “Design and Development of A Low-Cost Home Smart Light System,” Proc. 7th Int. Conf. on Design Innovation for 3Cs (ICDI3C) , 2023. R. Hema, “Automation of Smart Home Appliances Using IoT,” Proc. 10th Int. Conf. on Electrical Energy Systems (ICEES) , 2024. DOI: 10.1109/ICEES61253.2024.10776820. N. Kadam, “Reliability Testing of Electromagnetic Relay for IoT-Enabled Devices,” Proc. IEEE North Karnataka Subsection Flagship Int. Conf. (NKCon) , 2022. K. M. S. Azad, “A Cost-Effective Internet of Things-Based Smart Home Sys- tem for Upcoming Technologies,” Proc. Int. Conf. on Automation, Control and Mechatronics for Industry 4.0 (ACMI) , Rajshahi, Bangladesh, July 2021. H. Cao, “Design of Raspberry Pi-based IoT Smart Home System,” Proc. 2nd Int. Conf. on Data Analytics, Computing and Artificial Intelligence (ICDACAI) , 2023. N. Kele?o?lu and ?. Sobczak, “ZigBeeNet: Decrypted ZigBee IoT Network Traffic Dataset in Smart Home Environment,” Applied Sciences , vol. 14, 2024, Art. no. 10844. https://doi.org/10.3390/app142310844. L. Wang, D. Peng, and T. Zhang, “Design of Smart Home System Based on WiFi Smart Plug,” Int. J. of Smart Home , vol. 9, no. 6, pp. 173?182, 2015. http://dx.doi.org/10.14257/ijsh.2015.9.6.19. O. Taiwo, “Enhanced Intelligent Smart Home Control and Security System Based on Deep Learning Model,” Wireless Communications and Mobile Computing , Hindawi, vol. 2022, Article ID 9307961, 22 pages. https://doi.org/10.1155/2022/9307961. Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. 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These systems leverage cloud computing, artifi- cial intelligence (AI), wireless communication, and embedded sensors to provide users with a seamless and responsive environment tailored to their preferences. Key features such as automated lighting, climate control, security monitoring, and voice-assisted commands have made smart homes increasingly popular and convenient.\u003c/p\u003e\n\u003cp\u003eDespite\u0026nbsp;these\u0026nbsp;advancements,\u0026nbsp;the\u0026nbsp;reliability\u0026nbsp;of\u0026nbsp;smart\u0026nbsp;home\u0026nbsp;systems\u0026nbsp;remains\u0026nbsp;a\u0026nbsp;press- ing concern. Most IoT-based control systems rely heavily on continuous connectivity and centralized cloud infrastructure. When IoT components fail?due to hardware faults, software bugs, or network disruptions?the control of essential appliances can\u0026nbsp;be lost, potentially affecting user comfort, safety, and energy management.\u003c/p\u003e\n\u003cp\u003eThis paper addresses these limitations by proposing a robust and intelligent con- trol system designed to ensure uninterrupted operation of smart home devices, even during IoT failures. The proposed solution integrates a dual-mode control mechanism that allows seamless switching between IoT-based automation and manual control via traditional electric switches. Additionally, it incorporates failure detection features to monitor system health and proactively engage fallback operations when disruptions are detected.\u003c/p\u003e\n\u003cp\u003eBy focusing on resilience, user autonomy, and failure mitigation, the proposed system aims to enhance the dependability and usability of smart home environments, especially in real-world scenarios where IoT reliability cannot be guaranteed.\u003c/p\u003e"},{"header":"2\tRelated Work","content":"\u003cp\u003eThe\u0026nbsp;existing\u0026nbsp;literature\u0026nbsp;on\u0026nbsp;smart\u0026nbsp;home\u0026nbsp;automation\u0026nbsp;highlights\u0026nbsp;significant\u0026nbsp;advancements, methodologies, and persistent challenges in the implementation of IoT-based home systems.\u003c/p\u003e\n\u003cp\u003eThe\u0026nbsp;existing\u0026nbsp;literature\u0026nbsp;on\u0026nbsp;smart\u0026nbsp;home\u0026nbsp;automation\u0026nbsp;demonstrates\u0026nbsp;significant progress in the integration of IoT technologies, offering a variety of approaches to\u0026nbsp;improve convenience, energy efficiency, and safety. However, persistent challenges remain,\u0026nbsp;particularly\u0026nbsp;concerning\u0026nbsp;system\u0026nbsp;reliability\u0026nbsp;and\u0026nbsp;failure\u0026nbsp;resilience.\u003c/p\u003e\n\u003cp\u003eYunardi (2022) developed an ESP8266-enabled relay module integrated with the Blynk app, enabling real-time appliance control and state monitoring. The system provides immediate feedback to the user, ensuring synchronization between device status and user commands?an essential feature for usability and reliability.\u003c/p\u003e\n\u003cp\u003eNaeem (2021) proposed a cost-effective IoT-based home automation system fea- turing a customizable digital control panel and integrated environmental sensors for temperature, humidity, and voltage. This setup enhanced both safety and operational efficiency\u0026nbsp;by\u0026nbsp;enabling\u0026nbsp;users\u0026nbsp;to\u0026nbsp;monitor\u0026nbsp;real-time\u0026nbsp;environmental\u0026nbsp;conditions\u0026nbsp;and\u0026nbsp;control appliances accordingly.\u003c/p\u003e\n\u003cp\u003eZeyad (2020) introduced a microcontroller-based system incorporating dual pass- word authentication through the HACA-App. This dual-layer security model mitigates unauthorized access risks and supports various connectivity options, including Wi-Fi, Bluetooth, and mobile data, offering secure and flexible remote operation.\u003c/p\u003e\n\u003cp\u003eSingh (2019) presented a hybrid control system utilizing a Raspberry Pi and Attiny88 microcontroller that supports both web-based and manual operation. This dual-mode approach ensures continued functionality during internet outages, aligning closely with the resilience objectives of the present study.\u003c/p\u003e\n\u003cp\u003eJoha (2022) emphasized safety in smart home environments by designing an IoT- based control and protection system using a NodeMCU and Blynk app. The system integrates\u0026nbsp;sensors\u0026nbsp;for\u0026nbsp;gas\u0026nbsp;leaks,\u0026nbsp;fire,\u0026nbsp;and\u0026nbsp;overheating,\u0026nbsp;and\u0026nbsp;automatically\u0026nbsp;initiates\u0026nbsp;safety protocols such as device shutdown and user alerts?highlighting the role of proactive hazard management.\u003c/p\u003e\n\u003cp\u003eSugumar (2023) proposed a low-cost smart lighting solution incorporating Light Dependent Resistors (LDRs) and motion sensors to enable automated lighting control. This system effectively reduces unnecessary power usage, improving energy efficiency and supporting sustainability goals.\u003c/p\u003e\n\u003cp\u003eHema (2023) implemented an ARM-based adaptive appliance control system that adjusts fan speed and light intensity based on ambient conditions. Through GSM-\u0026nbsp;based communication, users can monitor and control devices remotely, enhancing home management flexibility.\u003c/p\u003e\n\u003cp\u003eKadam\u0026nbsp;(2022)\u0026nbsp;conducted\u0026nbsp;reliability\u0026nbsp;testing\u0026nbsp;on\u0026nbsp;electromagnetic\u0026nbsp;relays\u0026nbsp;used\u0026nbsp;in\u0026nbsp;IoT systems.\u0026nbsp;Using\u0026nbsp;techniques\u0026nbsp;like\u0026nbsp;Highly\u0026nbsp;Accelerated\u0026nbsp;Life\u0026nbsp;Testing\u0026nbsp;(HALT)\u0026nbsp;and\u0026nbsp;Reliability Demonstration Testing (RDT), the study identified common failure mechanisms such\u0026nbsp;as coil resistance changes and mechanical wear?factors critical to ensuring long-term device durability.\u003c/p\u003e\n\u003cp\u003eAzad (2022) developed a scalable, voice-controlled home automation system using NodeMCU\u0026nbsp;and\u0026nbsp;relay\u0026nbsp;modules.\u0026nbsp;By\u0026nbsp;eliminating\u0026nbsp;the\u0026nbsp;need\u0026nbsp;for\u0026nbsp;a\u0026nbsp;central\u0026nbsp;server\u0026nbsp;and\u0026nbsp;offering voice assistant integration, the system simplifies user interaction and reduces energy overhead.\u003c/p\u003e\n\u003cp\u003eCao (2023) presented a Raspberry Pi-based smart home solution that integrates various\u0026nbsp;sensors\u0026nbsp;for\u0026nbsp;real-time\u0026nbsp;data\u0026nbsp;exchange,\u0026nbsp;mobile\u0026nbsp;app\u0026nbsp;control,\u0026nbsp;and\u0026nbsp;voice\u0026nbsp;recognition. The design supports multiple operational modes, emphasizing both versatility and system adaptability.\u003c/p\u003e\n\u003cp\u003eThese studies highlight considerable advancements in smart home technology. How- ever, most focus on functionality, efficiency, and convenience, while fewer address system behavior during IoT failures. This gap underlines the need for resilient archi- tectures that ensure uninterrupted operation through fallback mechanisms?a challenge this paper aims to resolve through the design of a dual-mode control system with built-in IoT failure detection.\u003c/p\u003e"},{"header":"3\tLiterature Gap","content":"\u003cp\u003eA thorough review of recent research and commercial smart home systems reveals com- mon architectural components and recurring limitations. Typically, IoT-based home automation platforms include the following elements:\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eController Hardware: \u003c/strong\u003eMicrocontrollers such as Raspberry Pi or NodeMCU serve as the central processing units for device control.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSolid-State Relays: \u003c/strong\u003eThese are commonly used for seamless switching of electronic appliances.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003ePower Supply: \u003c/strong\u003eEnsures consistent power delivery to all IoT components.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCloud Infrastructure: \u003c/strong\u003eEnables remote access, data synchronization, and control through the internet.\u003c/p\u003e\n\n\u003cp\u003e\u003cstrong\u003eControl Algorithms: \u003c/strong\u003eManage automation sequences and device interactions.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEnd-User Interfaces: \u003c/strong\u003eMobile apps, web dashboards, and voice assistants (e.g., Alexa, Google Assistant) provide intuitive control.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eThird-Party Integrations: \u003c/strong\u003eEnhance functionality through platforms like Amazon Alexa and Google Home.\u003c/p\u003e\n\u003cp\u003eWhile recent advancements have introduced hybrid systems capable of both manual and remote control, most implementations still lack robust mechanisms for failure detection and fallback operation. A recurring theme in the literature is the emphasis on automation and user convenience?often at the expense of system resilience.\u003c/p\u003e\n\u003cp\u003eIn the event of IoT failure?due to network loss, hardware malfunction, or soft- ware bugs?users may entirely lose access to essential home functions, such as lighting, climate control, or security. In many cases, recovery requires technical intervention, which is impractical for the average user.\u003c/p\u003e\n\u003cp\u003eThis analysis highlights a critical gap: the absence of intelligent, fault-tolerant control systems capable of detecting IoT failures and ensuring uninterrupted appliance operation. There is a growing need for smart home designs that combine automation with resilience?featuring real-time failure monitoring, manual override capabilities, and seamless mode transitions. Addressing this gap is essential for improving the reliability, safety, and usability of next-generation smart home systems.\u003c/p\u003e"},{"header":"4\tProposed Methodology","content":"\u003cp\u003eThe proposed system addresses the critical issues associated with the failure of IoT- based\u0026nbsp;smart\u0026nbsp;home\u0026nbsp;automation\u0026nbsp;by\u0026nbsp;introducing\u0026nbsp;a\u0026nbsp;robust\u0026nbsp;and\u0026nbsp;reliable\u0026nbsp;control\u0026nbsp;mechanism. The proposed system offers dual-mode control?manual and IoT-based?that func-\u0026nbsp;tions simultaneously. Both control paths are always active and remain synchronized, enabling users to operate appliances via traditional switches or remote interfaces interchangeably:\u003c/p\u003e\n\u003cp\u003e\u0026nbsp; \u003cstrong\u003eIoT Mode:\u0026nbsp;\u003c/strong\u003eAllows remote control and automation of appliances via cloud- connected smart home systems and mobile interfaces.\u003c/p\u003e\n\u003cp\u003e\u0026nbsp; \u003cstrong\u003eManual Mode:\u0026nbsp;\u003c/strong\u003eProvides direct physical control through traditional two-way switches, always available and synchronized with IoT commands.\u003c/p\u003e\n\u003cp\u003eThe core innovation lies in the system?s ability to\u0026nbsp;seamlessly switch between these modes to ensure uninterrupted appliance control. It is designed for direct integration into standard electric boards and includes the following key components:\u003c/p\u003e\n\u003col\u003e\n \u003cli\u003e\u003cstrong\u003eProcessing Unit:\u0026nbsp;\u003c/strong\u003eActs as the central controller. It receives commands from user interfaces and activates relays to turn devices ON/OFF. In failure scenarios, it enables\u0026nbsp;manual\u0026nbsp;override\u0026nbsp;through\u0026nbsp;physical\u0026nbsp;switches.\u003c/li\u003e\n \u003cli\u003e\u003cstrong\u003eSwitched-Mode\u0026nbsp;Power\u0026nbsp;Supply\u003c/strong\u003e\u003cstrong\u003e\u0026nbsp;\u003c/strong\u003e\u003cstrong\u003e(SMPS):\u0026nbsp;\u003c/strong\u003eProvides\u0026nbsp;a\u0026nbsp;stable\u0026nbsp;DC\u0026nbsp;power\u0026nbsp;supply to all connected components, ensuring consistent performance and energy efficiency.\u003c/li\u003e\n \u003cli\u003e\u003cstrong\u003eRelay Circuit:\u0026nbsp;\u003c/strong\u003eFunctions as the switching mechanism. It is wired to the P-phase input\u0026nbsp;and\u0026nbsp;responds\u0026nbsp;to\u0026nbsp;signals\u0026nbsp;from\u0026nbsp;the\u0026nbsp;processing\u0026nbsp;unit\u0026nbsp;to\u0026nbsp;control\u0026nbsp;appliance\u0026nbsp;state.\u003c/li\u003e\n\u003c/ol\u003e\n\u003cp\u003e\u0026nbsp;\u003c/p\u003e\n\u003col class=\"decimal_type\" start=\"4\"\u003e\n \u003cli\u003e\u003cstrong\u003eTwo-Way Switch:\u0026nbsp;\u003c/strong\u003eInstalled within the electric board, with terminals L1 and L2 connected to the Normally Closed (NC) and Normally Open (NO) lines of the relay. The common terminal serves either as an output to the appliance or an input from the power line, depending on the configuration.\u003c/li\u003e\n\u003c/ol\u003e\n\u003ch2\u003e4.1 System Operation\u003c/h2\u003e\n\u003cp\u003eIn \u003cem\u003eNormal Mode\u003c/em\u003e, the smart home controller communicates through the cloud and executes automation commands for appliances. In case of connectivity failure or con- troller malfunction, the system transitions to \u003cem\u003eManual Mode\u003c/em\u003e, enabling direct physical control through the two-way switch circuit.\u003c/p\u003e\n\u003cp\u003eTo\u0026nbsp;improve\u0026nbsp;system\u0026nbsp;safety,\u0026nbsp;an\u0026nbsp;AC\u0026nbsp;detection\u0026nbsp;unit?such\u0026nbsp;as\u0026nbsp;an\u0026nbsp;optocoupler?is\u0026nbsp;included to monitor power status and ensure accurate appliance state reporting. This architec- ture supports ease of installation, scalability, and compatibility with a wide range of smart devices.\u003c/p\u003e\n\u003ch2\u003e4.2 Wiring Scenarios\u003c/h2\u003e\n\u003ch3\u003eScenario\u0026nbsp;1:\u0026nbsp;Output\u0026nbsp;Control\u0026nbsp;via\u0026nbsp;Common Terminal\u003c/h3\u003e\n\u003cp\u003eA two-way switch is configured in such a way that the L1 and L2 terminals are connected to the NC and NO lines of the relay, respectively. The common terminal is used as the \u003cem\u003eoutput\u0026nbsp;\u003c/em\u003eterminal and is connected to the AC detection circuit (e.g., optocoupler), and then to the P-phase line powering the appliance.\u003c/p\u003e\n\u003ch3\u003eScenario 2: Input Supply via Common Terminal\u003c/h3\u003e\n\u003cp\u003eIn this configuration, the L1 and L2 terminals again connect to the NC and NO lines of the relay. However, the common terminal now functions as the \u003cem\u003einput\u0026nbsp;\u003c/em\u003eP-phase line. This setup enables a reversed switching logic, which can be used in certain fail-safe applications.\u003c/p\u003e\n\u003ch2\u003e4.3 Relay\u0026nbsp;Configuration\u0026nbsp;and\u0026nbsp;Pinout\u003c/h2\u003e\n\u003cp\u003eThe relay module used in this system includes labeled terminals for Normally Closed (NC), Normally Open (NO), and Common (COM), which are wired based on the desired switching logic. The relay is controlled by signals from the processing unit and ensures isolation between control and power circuits.\u003c/p\u003e\n\u003ch2\u003e4.4 Device\u0026nbsp;Integration Example\u003c/h2\u003e\n\u003cp\u003eAn example wiring diagram for a single-point smart switch installation is shown below, where IoT commands and physical switching are combined for dual-mode appliance control.\u003c/p\u003e\n\u003cp\u003eIn summary, the proposed control system offers a robust solution to common smart home automation challenges. Its dual-mode capability, AC detection integration, and intuitive design make it suitable for real-world deployment where resilience and safety are critical.\u003c/p\u003e"},{"header":"5\tAlgorithms","content":"\u003cp\u003e\u003cimg 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\" width=\"915\" height=\"626\"\u003e\u003c/p\u003e\n\u003cp\u003e\u003cbr\u003e\u003c/p\u003e"},{"header":"6\tResults and Analysis","content":"\u003cp\u003eThe proposed dual-mode control system was evaluated for its ability to maintain reliable\u0026nbsp;operation\u0026nbsp;of\u0026nbsp;smart\u0026nbsp;home\u0026nbsp;appliances\u0026nbsp;under\u0026nbsp;both\u0026nbsp;normal\u0026nbsp;and\u0026nbsp;failure\u0026nbsp;conditions. The\u0026nbsp;assessment\u0026nbsp;focused\u0026nbsp;on\u0026nbsp;system\u0026nbsp;behavior\u0026nbsp;during\u0026nbsp;IoT\u0026nbsp;control,\u0026nbsp;manual\u0026nbsp;override,\u0026nbsp;state synchronization, and real-time failure detection via AC monitoring.\u003c/p\u003e\n\u003ch2\u003e6.1 Dual-Mode Operation Validation\u003c/h2\u003e\n\u003cp\u003eThe system supports simultaneous IoT-based commands and manual switch control. Tests\u0026nbsp;confirmed\u0026nbsp;that\u0026nbsp;both\u0026nbsp;control\u0026nbsp;paths\u0026nbsp;remain\u0026nbsp;synchronized,\u0026nbsp;allowing\u0026nbsp;users\u0026nbsp;to\u0026nbsp;operate appliances via a mobile app or physical switch interchangeably, without conflict or state mismatch.\u003c/p\u003e\n\u003ch2\u003e6.2 Control Comparison with Existing Modes\u003c/h2\u003e\n\u003cp\u003eTable 1 summarizes the differences between traditional single-mode IoT systems, dual- mode systems, and the proposed method across key control capabilities.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 1\u0026nbsp;\u003c/strong\u003eComparison of Control Features\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 110px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eControls\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 88px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSingle Mode\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 81px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDual Mode\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eThis Research\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 110px;\"\u003e\n \u003cp\u003ePhysical Switch\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 88px;\"\u003e\n \u003cp\u003eNO\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 81px;\"\u003e\n \u003cp\u003eYES\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003eYES\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 110px;\"\u003e\n \u003cp\u003eIoT Control\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 88px;\"\u003e\n \u003cp\u003eYES\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 81px;\"\u003e\n \u003cp\u003eYES\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003eYES\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 110px;\"\u003e\n \u003cp\u003eVoice\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 88px;\"\u003e\n \u003cp\u003eYES\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 81px;\"\u003e\n \u003cp\u003eYES\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003eYES\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 110px;\"\u003e\n \u003cp\u003eAdditional Control\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 88px;\"\u003e\n \u003cp\u003eNO\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 81px;\"\u003e\n \u003cp\u003eNO\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 97px;\"\u003e\n \u003cp\u003eYES\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003ch2\u003e\u0026nbsp;6.3 Appliance Behavior During Failures\u003c/h2\u003e\n\u003cp\u003eTable 2 presents system behavior when either the physical switch or IoT network experiences a failure. Only the proposed system continues to offer control in all cases.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 2\u0026nbsp;\u003c/strong\u003eControl Capability During Failures\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 194px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eFailure Condition\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 70px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSingle\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(Manual)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 88px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eSingle Mode\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(IoT)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDual Mode\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(Existing)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eDual Mode\u003c/strong\u003e\u003c/p\u003e\n \u003cp\u003e\u003cstrong\u003e(This Research)\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 194px;\"\u003e\n \u003cp\u003eWorking\u0026nbsp;on\u0026nbsp;Physical\u0026nbsp;Switch Failure\u003c/p\u003e\n \u003cp\u003eWorking on\u0026nbsp;IoT Failure\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 70px;\"\u003e\n \u003cp\u003eYES\u003c/p\u003e\n \u003cp\u003eNO\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 88px;\"\u003e\n \u003cp\u003eNO\u003c/p\u003e\n \u003cp\u003eYES\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 90px;\"\u003e\n \u003cp\u003eYES\u0026nbsp;(By IOT)\u003c/p\u003e\n \u003cp\u003eNO (Both)\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003eYES\u003c/p\u003e\n \u003cp\u003eYES\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003ch2\u003e6.4 Appliance State Monitoring and Validation\u003c/h2\u003e\n\u003cp\u003eTo ensure precise control, we implemented a state-tracking algorithm (see Algorithm \u003ca href=\"#_bookmark2\"\u003e1\u003c/a\u003e) that compares the \u003cem\u003eexpected\u0026nbsp;\u003c/em\u003eappliance state?derived from the most recent user com- mand?with the \u003cem\u003eactual\u0026nbsp;\u003c/em\u003estate reported by the AC detection circuit. Table \u003ca href=\"#_bookmark5\"\u003e3\u003c/a\u003e presents the logic mapping for various relay and switch configurations.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eTable 3\u0026nbsp;\u003c/strong\u003eAppliance State Mapping: Relay and 2-Way Switch Logic\u003c/p\u003e\n\u003ctable border=\"1\" cellspacing=\"0\" cellpadding=\"0\"\u003e\n \u003ctbody\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eAppliance State\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 77px;\"\u003e\n \u003cp\u003e\u003cstrong\u003eIOT Relay\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003e\u003cstrong\u003e2-Way\u0026nbsp;Switch\u003c/strong\u003e\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003eON\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 77px;\"\u003e\n \u003cp\u003eNC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003eUP\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003eOFF\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 77px;\"\u003e\n \u003cp\u003eNC\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003eDOWN\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003eOFF\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 77px;\"\u003e\n \u003cp\u003eNO\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003eUP\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003ctr\u003e\n \u003ctd valign=\"top\" style=\"width: 108px;\"\u003e\n \u003cp\u003eON\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 77px;\"\u003e\n \u003cp\u003eNO\u003c/p\u003e\n \u003c/td\u003e\n \u003ctd valign=\"top\" style=\"width: 95px;\"\u003e\n \u003cp\u003eDOWN\u003c/p\u003e\n \u003c/td\u003e\n \u003c/tr\u003e\n \u003c/tbody\u003e\n\u003c/table\u003e\n\u003ch2\u003e6.5 Failure Detection Analysis\u003c/h2\u003e\n\u003cp\u003eApplying the algorithm from Section \u003ca href=\"#_bookmark2\"\u003e1\u003c/a\u003e, we monitored for mismatches between com- manded and detected states. In scenarios where relays failed or appliances were disconnected, the AC detector flagged a discrepancy. The system then:\u003c/p\u003e\n\u003cp\u003eLogged the failure event.\u003c/p\u003e\n\u003cp\u003eIssued an alert to the user interface.\u003c/p\u003e\n\u003cp\u003eContinued to offer both IoT and manual control while preserving safety.\u003c/p\u003e\n\u003ch2\u003e6.6 Scenario Validation\u003c/h2\u003e\n\u003cp\u003eFigures 1 and 2 illustrate the two wiring scenarios tested. In both, appliance c\u003c/p\u003e"},{"header":"7\tConclusion","content":"\u003cp\u003eThis\u0026nbsp;research\u0026nbsp;presents\u0026nbsp;a\u0026nbsp;robust\u0026nbsp;and\u0026nbsp;intelligent\u0026nbsp;control\u0026nbsp;system\u0026nbsp;designed\u0026nbsp;to\u0026nbsp;maintain\u0026nbsp;the reliable operation of smart home devices, even in the event of IoT system failures. By integrating a dual-mode architecture?combining IoT-based automation with manual control\u0026nbsp;via\u0026nbsp;traditional\u0026nbsp;switches?the\u0026nbsp;system\u0026nbsp;ensures\u0026nbsp;continuous\u0026nbsp;functionality\u0026nbsp;regardless of network or device disruptions. The inclusion of an IoT failure detection mechanism further enhances system resilience by proactively identifying faults and activating fallback control modes.\u003c/p\u003e\n\u003cp\u003eKey hardware components such as the processing unit, relay circuit, switched-mode power supply (SMPS), and AC detection units contribute to the system?s adaptability, safety, and ease of installation. This hybrid approach addresses a critical gap in current smart home architectures by prioritizing fault tolerance and user accessibility alongside intelligent automation.\u003c/p\u003e\n\u003cp\u003eOverall, the proposed system offers a practical and scalable solution for increas- ing the reliability and user satisfaction of smart home environments. It demonstrates that robust design and intelligent failure handling are essential for future-ready home automation technologies.\u003c/p\u003e"},{"header":"8\tFuture Scope","content":"\u003cp\u003eWhile the proposed system effectively addresses the challenge of uninterrupted appli- ance control during IoT failures, several enhancements can be explored to further increase its functionality, intelligence, and adaptability.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSensor Integration: \u003c/strong\u003eFuture versions can incorporate additional physical sensors, such as temperature, humidity, motion, and gas sensors, to provide context-aware control and improve safety, comfort, and energy efficiency.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAI-Based Decision Making: \u003c/strong\u003eBy integrating machine learning algorithms, the sys- tem could learn user behavior patterns and automatically adjust device operations, offering predictive and personalized automation.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eSmart Notifications: \u003c/strong\u003eImplementation of smart alert mechanisms via mobile apps or voice assistants can notify users in real time about unusual behavior or failure conditions.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMobile and Cloud Integration: \u003c/strong\u003eFurther cloud-based features such as remote logging, analytics dashboards, or integration with smart assistants like Alexa, Siri, or Google Assistant can enhance usability and control flexibility.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eScalability and Standardization: \u003c/strong\u003eFuture designs may focus on developing a modular, plug-and-play architecture that complies with IoT industry standards to support large-scale smart building deployments.\u003c/p\u003e\n\n\u003cp\u003eOverall, the system provides a strong foundation for intelligent, fail-safe home automation and offers significant opportunities for expansion in both functionality and deployment scale.\u003c/p\u003e"},{"header":"Declarations","content":"\u003cp\u003e\u003cstrong\u003eSupplementary Information. \u003c/strong\u003eNo supplementary files are associated with this manuscript.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAcknowledgements. \u003c/strong\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eFunding: \u003c/strong\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConflict of interest: \u003c/strong\u003eThe author declares no conflict of interest.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eEthics approval and consent to participate: \u003c/strong\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eConsent for publication: \u003c/strong\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eData availability: \u003c/strong\u003eNo datasets were generated or analyzed during the current study.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eMaterials availability: \u003c/strong\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eCode availability: \u003c/strong\u003eNot applicable.\u003c/p\u003e\n\u003cp\u003e\u003cstrong\u003eAuthor contribution: \u003c/strong\u003eThe author solely designed, implemented, tested, and wrote the manuscript.\u003c/p\u003e"},{"header":"References","content":"\u003col\u003e\n\u003cli\u003eR. T. Yunardi, \u0026ldquo;Relay Module IoT Devices for Remote Controlling of Home Automation System,\u0026rdquo; \u003cem\u003eProc. 2nd Int. Conf. on Electronic and Electrical Engineer- \u003c/em\u003e\u003cem\u003eing and Intelligent System (ICE3IS)\u003c/em\u003e, 2022. DOI: 978-1-6654-6541-0/22. Copyright 2022 IEEE.\u003c/li\u003e\n\u003cli\u003eM. Naeem, \u0026ldquo;Customizable Digital Control System for Domestic Application with IoT Capability,\u0026rdquo; \u003cem\u003eProc. Int. Conf. on Computing, Electronic and Electri- \u003c/em\u003e\u003cem\u003ecal Engineering (ICE Cube)\u003c/em\u003e, 2021. DOI: 978-1-6654-0154-8/21. Copyright 2021 IEEE.\u003c/li\u003e\n\u003cli\u003eM. Zeyad, \u0026ldquo;Micro-Controller-based Home Appliances Controlling with Dual Veri- fication Application,\u0026rdquo; \u003cem\u003eProc. Int. Conf. on Computational Performance Evaluation (ComPE)\u003c/em\u003e, Shillong, India, July 2?4, 2020.\u003c/li\u003e\n\u003cli\u003eA. P. Singh, \u0026ldquo;IoT Based Smart Home Automation Enabled with Manual Mode Switch Control,\u0026rdquo; \u003cem\u003eProc. 2nd Int. Conf. on Intelligent Communication and \u003c/em\u003e\u003cem\u003eComputational Techniques (ICCT)\u003c/em\u003e, Manipal University, Jaipur, 2019.\u003c/li\u003e\n\u003cli\u003eM. I. Joha, \u0026ldquo;IoT-Based Smart Control and Protection System for Home Appli- ances,\u0026rdquo; \u003cem\u003eProc. 25th Int. Conf. on Computer and Information Technology (ICCIT)\u003c/em\u003e, Cox?s Bazar, Bangladesh, December 2022. \u003c/li\u003e\n\u003cli\u003eS. J. Sugumar, \u0026ldquo;Design and Development of A Low-Cost Home Smart Light System,\u0026rdquo; \u003cem\u003eProc. 7th Int. Conf. on Design Innovation for 3Cs\u003c/em\u003e\u003cem\u003e \u003c/em\u003e\u003cem\u003e(ICDI3C)\u003c/em\u003e, 2023.\u003c/li\u003e\n\u003cli\u003eR. Hema, \u0026ldquo;Automation of Smart Home Appliances Using IoT,\u0026rdquo; \u003cem\u003eProc. 10th Int. 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Sobczak, \u0026ldquo;ZigBeeNet: Decrypted ZigBee IoT Network Traffic Dataset in Smart Home Environment,\u0026rdquo; \u003cem\u003eApplied Sciences\u003c/em\u003e, vol. 14, 2024, Art. no. 10844. https://doi.org/10.3390/app142310844.\u003c/li\u003e\n\u003cli\u003eL. Wang, D. Peng, and T. Zhang, \u0026ldquo;Design of Smart Home System Based on WiFi Smart Plug,\u0026rdquo; \u003cem\u003eInt. J. of Smart Home\u003c/em\u003e, vol. 9, no. 6, pp. 173?182, 2015. http://dx.doi.org/10.14257/ijsh.2015.9.6.19.\u003c/li\u003e\n\u003cli\u003eO. Taiwo, \u0026ldquo;Enhanced Intelligent Smart Home Control and Security System Based on Deep Learning Model,\u0026rdquo; \u003cem\u003eWireless Communications and Mobile Computing\u003c/em\u003e, Hindawi, vol. 2022, Article ID 9307961, 22 pages. https://doi.org/10.1155/2022/9307961.\u003c/li\u003e\n\u003c/ol\u003e"}],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":true,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"","isAcceptedByJournal":false,"isAuthorSuppliedPdf":false,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":false,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true},"keywords":"IoT, Smart Home, Hybrid Control, Robust Control, Smart Switch","lastPublishedDoi":"10.21203/rs.3.rs-7084816/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7084816/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Smart home automation has significantly advanced with the integration of Inter- net of Things (IoT) technologies, enabling users to control electronic appliances remotely with high efficiency and convenience. However, the growing dependence on IoT systems introduces critical vulnerabilities, particularly when connectiv- ity or device failures occur. This paper presents a robust and intelligent control system for smart home devices that ensures continuous operation even in the event of IoT failures. The proposed system features a dual-mode control mecha- nism?automatic control via IoT and manual override through a traditional switch interface?allowing seamless transition between modes. Additionally, it incorpo- rates failure detection components to monitor system health and trigger fallback operations as needed. By combining reliability, fault tolerance, and user-centric design, this approach addresses common weaknesses in existing smart home archi- tectures. The study emphasizes resilience and adaptability as key components in the next generation of smart home solutions.","manuscriptTitle":"A Robust and Intelligent Control System for Smart Home Devices with IoT Failure Detection","msid":"","msnumber":"","nonDraftVersions":[{"code":1,"date":"2025-08-05 05:01:14","doi":"10.21203/rs.3.rs-7084816/v1","editorialEvents":[{"type":"communityComments","content":0}],"status":"published","journal":{"display":true,"email":"[email protected]","identity":"researchsquare","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":true,"externalIdentity":"","sideBox":"","snPcode":"","submissionUrl":"/submission","title":"Research Square","twitterHandle":"researchsquare","acdcEnabled":true,"dfaEnabled":false,"editorialSystem":"","reportingPortfolio":"","inReviewEnabled":false,"inReviewRevisionsEnabled":true}}],"origin":"","ownerIdentity":"80b1937b-80f1-4c9d-b8a9-3931693efe83","owner":[],"postedDate":"August 5th, 2025","published":true,"recentEditorialEvents":[],"rejectedJournal":[],"revision":"","amendment":"","status":"posted","subjectAreas":[],"tags":[],"updatedAt":"2025-10-09T03:54:04+00:00","versionOfRecord":[],"versionCreatedAt":"2025-08-05 05:01:14","video":"","vorDoi":"","vorDoiUrl":"","workflowStages":[]},"version":"v1","identity":"rs-7084816","journalConfig":"researchsquare"},"__N_SSP":true},"page":"/article/[identity]/[[...version]]","query":{"redirect":"/article/rs-7084816","identity":"rs-7084816","version":["v1"]},"buildId":"8U1c8b4HqxoKbykW_rLl7","isFallback":false,"isExperimentalCompile":false,"dynamicIds":[84888],"gssp":true,"scriptLoader":[]}