Internet of Things-based Intelligent Environmental Monitoring and Alert System

Internet of Things-based Intelligent Environmental Monitoring and Alert System | 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 Article Internet of Things-based Intelligent Environmental Monitoring and Alert System Rabia Noor Enam, Huma Hasan Rizvi, Muzammil Ahmad Khan, Rex Bacarra, and 3 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5280407/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 Usage of the Internet of Things (IoT) is rapidly rising worldwide as the technology can perform sophisticated tasks in every field of life. The proposed IoT-based Smart Environmental Monitoring and Alert System (SEMAS) is designed to measure multiple atmospheric parameters and if the system observes any weather or environmental changes then it can notify the user via text or any other notification method over the internet. Moreover, the system will be able to collect a very detailed database with more detailed information on weather and infrastructure per head region and can provide the solution to the worst-case scenarios. In the proposed experiments, data collection from different sensors have shown different behaviors in terms of variations from one node to another. We have developed symmetric variation fields and analyzed these behaviors, and have proposed different sensing plane types of Low Range Low Variation (LRLV) data plane, Low Range High Variation (LRHV) data plane, High Range Low Variation (HRLV) data plane and High Range High Variation (HRHV) data plane that can overlap the target fields. In this paper, we have proposed SEMAS that can achieve its purpose by adopting the “smart monitoring approach” using the virtual sensing plane patterns. Furthermore, the placement of nodes according to the proposed sensing planes can optimize the deployment strategy of IoT/sensor nodes in the network. Physical sciences/Engineering Physical sciences/Mathematics and computing Environmental Monitoring Wireless Sensor Network Internet of Things (IoT) Monitoring Applications Cluster-based Routing Full Text 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. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5280407","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Article","associatedPublications":[],"authors":[{"id":375776487,"identity":"3ad16da3-359f-45ba-84ad-1496e1ed6524","order_by":0,"name":"Rabia Noor Enam","email":"","orcid":"","institution":"Sir Syed University of Engineering and Technology","correspondingAuthor":false,"prefix":"","firstName":"Rabia","middleName":"Noor","lastName":"Enam","suffix":""},{"id":375776488,"identity":"0911951a-c417-4d21-8f1d-cbb20bbf3f6f","order_by":1,"name":"Huma Hasan Rizvi","email":"","orcid":"","institution":"Sir Syed University of Engineering and 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The proposed IoT-based Smart Environmental Monitoring and Alert System (SEMAS) is designed to measure multiple atmospheric parameters and if the system observes any weather or environmental changes then it can notify the user via text or any other notification method over the internet. Moreover, the system will be able to collect a very detailed database with more detailed information on weather and infrastructure per head region and can provide the solution to the worst-case scenarios. In the proposed experiments, data collection from different sensors have shown different behaviors in terms of variations from one node to another. We have developed symmetric variation fields and analyzed these behaviors, and have proposed different sensing plane types of Low Range Low Variation (LRLV) data plane, Low Range High Variation (LRHV) data plane, High Range Low Variation (HRLV) data plane and High Range High Variation (HRHV) data plane that can overlap the target fields. 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