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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...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2008
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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. |
format | Online Article Text |
id | pubmed-3927531 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
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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