Optimization of Power and Latency of Medium Access Control Protocol of Wireless Sensor Network

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The paper studies how to optimize energy consumption and transmission latency in wireless sensor networks designed for continuous surveillance where critical data is transmitted infrequently. It proposes OWuR-MAC (Optimized Wake-up Radio based Medium Access Control), an event-driven MAC that uses wake-up receivers to keep sensor nodes in low-power sleep until relevant transmissions occur, while dynamically adjusting wake-up receiver sensitivity and transmission timing based on network activity and environmental conditions. In OMNeT++ simulations, OWuR-MAC is compared with FAWR-MAC and OPWUM and achieves lower energy use, lower latency, and higher packet delivery ratios. A key limitation is that the findings are based on simulation rather than real-world deployment. The paper does not explicitly discuss endometriosis or adenomyosis; it was included in the corpus via a keyword match in the upstream search index.

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Abstract

Abstract In wireless sensor networks (WSNs) used for continuous surveillance, a problem for monitoring the more critical data being transmitted infrequently is the extreme challenge of energy usage and latency requirements. Current MAC protocols often have high energy consumption due primarily to idle listening, collision, and excessive data transmission, and as a result, are not suitable for such uses. This paper proposes novel protocol to optimize energy consumption and transmission delays in WSNs used to monitor infrequent critical data. This protocol is named as OWuR-MAC i.e. ‘Optimized Wake-up Radio based Medium Access Control’. OWuR-MAC implements an event-driven wake-up strategy utilizing wake-up receivers so that devices can stay in low-power sleep mode until data transmission is necessary. Sensor nodes use wake-up receivers which allow them to remain at low-energy sleep times until there is a relevant data transmission which can wake them up. However, OWuR-MAC also dynamically modifies wake-up receiver sensitivity and transmission timing based on the characteristics of the networked activity and environmental conditions. The protocol is implemented and compared in the OMNeT++ simulation environment with two other state-of-the-art methods: Fully Asynchronous Wake-Up Radio MAC (FAWR-MAC) and Opportunistic Wake-Up MAC (OPWUM). The results of the simulation indicate OWuR-MAC achieved lower rates of energy consumption, lower latency, and higher packet delivery ratios than the other two protocols. Thus, OWuR-MAC is a strong candidate for providing energy-efficient low-latency WSNs for mission-critical surveillance.
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Optimization of Power and Latency of Medium Access Control Protocol of Wireless Sensor Network | 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 Optimization of Power and Latency of Medium Access Control Protocol of Wireless Sensor Network Kuldeep Goswami, Lalit Kumar Awasthi, Harsh Kumar Verma This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-6844597/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 In wireless sensor networks (WSNs) used for continuous surveillance, a problem for monitoring the more critical data being transmitted infrequently is the extreme challenge of energy usage and latency requirements. Current MAC protocols often have high energy consumption due primarily to idle listening, collision, and excessive data transmission, and as a result, are not suitable for such uses. This paper proposes novel protocol to optimize energy consumption and transmission delays in WSNs used to monitor infrequent critical data. This protocol is named as OWuR-MAC i.e. ‘Optimized Wake-up Radio based Medium Access Control’. OWuR-MAC implements an event-driven wake-up strategy utilizing wake-up receivers so that devices can stay in low-power sleep mode until data transmission is necessary. Sensor nodes use wake-up receivers which allow them to remain at low-energy sleep times until there is a relevant data transmission which can wake them up. However, OWuR-MAC also dynamically modifies wake-up receiver sensitivity and transmission timing based on the characteristics of the networked activity and environmental conditions. The protocol is implemented and compared in the OMNeT++ simulation environment with two other state-of-the-art methods: Fully Asynchronous Wake-Up Radio MAC (FAWR-MAC) and Opportunistic Wake-Up MAC (OPWUM). The results of the simulation indicate OWuR-MAC achieved lower rates of energy consumption, lower latency, and higher packet delivery ratios than the other two protocols. Thus, OWuR-MAC is a strong candidate for providing energy-efficient low-latency WSNs for mission-critical surveillance. Continuous Surveillance Energy Efficient OWuR-MAC Wake-up Radio Wireless Sensor Network 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. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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