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LQER: A Link Quality Estimation based Routing for Wireless Sensor Networks

Routing protocols are crucial to self-organize wireless sensor networks (WSNs), which have been widely studied in recent years. For some specific applications, both energy aware and reliable data transmission need to be considered together. Historical link status should be captured and taken into ac...

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Detalles Bibliográficos
Autores principales: Chen, Jiming, Lin, Ruizhong, Li, Yanjun, Sun, Youxian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3927531/
https://www.ncbi.nlm.nih.gov/pubmed/27879750
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author Chen, Jiming
Lin, Ruizhong
Li, Yanjun
Sun, Youxian
author_facet Chen, Jiming
Lin, Ruizhong
Li, Yanjun
Sun, Youxian
author_sort Chen, Jiming
collection PubMed
description Routing protocols are crucial to self-organize wireless sensor networks (WSNs), which have been widely studied in recent years. For some specific applications, both energy aware and reliable data transmission need to be considered together. Historical link status should be captured and taken into account in making data forwarding decisions to achieve the data reliability and energy efficiency tradeoff. In this paper, a dynamic window concept (m, k) is presented to record the link historical information and a link quality estimation based routing protocol (LQER) are proposed, which integrates the approach of minimum hop field and (m, k). The performance of LQER is evaluated by extensive simulation experiments to be more energy-aware, with lower loss rate and better scalability than MHFR [1] and MCR [2]. Thus the WSNs with LQER get longer lifetime of networks and better link quality.
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spelling pubmed-39275312014-02-18 LQER: A Link Quality Estimation based Routing for Wireless Sensor Networks Chen, Jiming Lin, Ruizhong Li, Yanjun Sun, Youxian Sensors (Basel) Full Paper Routing protocols are crucial to self-organize wireless sensor networks (WSNs), which have been widely studied in recent years. For some specific applications, both energy aware and reliable data transmission need to be considered together. Historical link status should be captured and taken into account in making data forwarding decisions to achieve the data reliability and energy efficiency tradeoff. In this paper, a dynamic window concept (m, k) is presented to record the link historical information and a link quality estimation based routing protocol (LQER) are proposed, which integrates the approach of minimum hop field and (m, k). The performance of LQER is evaluated by extensive simulation experiments to be more energy-aware, with lower loss rate and better scalability than MHFR [1] and MCR [2]. Thus the WSNs with LQER get longer lifetime of networks and better link quality. Molecular Diversity Preservation International (MDPI) 2008-02-15 /pmc/articles/PMC3927531/ /pubmed/27879750 Text en © 2008 by MDPI Reproduction is permitted for noncommercial purposes.
spellingShingle Full Paper
Chen, Jiming
Lin, Ruizhong
Li, Yanjun
Sun, Youxian
LQER: A Link Quality Estimation based Routing for Wireless Sensor Networks
title LQER: A Link Quality Estimation based Routing for Wireless Sensor Networks
title_full LQER: A Link Quality Estimation based Routing for Wireless Sensor Networks
title_fullStr LQER: A Link Quality Estimation based Routing for Wireless Sensor Networks
title_full_unstemmed LQER: A Link Quality Estimation based Routing for Wireless Sensor Networks
title_short LQER: A Link Quality Estimation based Routing for Wireless Sensor Networks
title_sort lqer: a link quality estimation based routing for wireless sensor networks
topic Full Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3927531/
https://www.ncbi.nlm.nih.gov/pubmed/27879750
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