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Improving the performance of opportunistic routing using min-max range and optimum energy level for relay node selection in wireless sensor networks
Opportunistic routing is an emerging routing technology that was proposed to overcome the drawback of unreliable transmission, especially in Wireless Sensor Networks (WSNs). Over the years, many forwarder methods were proposed to improve the performance in opportunistic routing. However, based on ex...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924681/ https://www.ncbi.nlm.nih.gov/pubmed/33816976 http://dx.doi.org/10.7717/peerj-cs.326 |
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author | Yee, Por Lip Mehmood, Shahid Almogren, Ahmad Ali, Ihsan Anisi, Mohammad Hossein |
author_facet | Yee, Por Lip Mehmood, Shahid Almogren, Ahmad Ali, Ihsan Anisi, Mohammad Hossein |
author_sort | Yee, Por Lip |
collection | PubMed |
description | Opportunistic routing is an emerging routing technology that was proposed to overcome the drawback of unreliable transmission, especially in Wireless Sensor Networks (WSNs). Over the years, many forwarder methods were proposed to improve the performance in opportunistic routing. However, based on existing works, the findings have shown that there is still room for improvement in this domain, especially in the aspects of latency, network lifetime, and packet delivery ratio. In this work, a new relay node selection method was proposed. The proposed method used the minimum or maximum range and optimum energy level to select the best relay node to forward packets to improve the performance in opportunistic routing. OMNeT++ and MiXiM framework were used to simulate and evaluate the proposed method. The simulation settings were adopted based on the benchmark scheme. The evaluation results showed that our proposed method outperforms in the aspect of latency, network lifetime, and packet delivery ratio as compared to the benchmark scheme. |
format | Online Article Text |
id | pubmed-7924681 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79246812021-04-02 Improving the performance of opportunistic routing using min-max range and optimum energy level for relay node selection in wireless sensor networks Yee, Por Lip Mehmood, Shahid Almogren, Ahmad Ali, Ihsan Anisi, Mohammad Hossein PeerJ Comput Sci Adaptive and Self-Organizing Systems Opportunistic routing is an emerging routing technology that was proposed to overcome the drawback of unreliable transmission, especially in Wireless Sensor Networks (WSNs). Over the years, many forwarder methods were proposed to improve the performance in opportunistic routing. However, based on existing works, the findings have shown that there is still room for improvement in this domain, especially in the aspects of latency, network lifetime, and packet delivery ratio. In this work, a new relay node selection method was proposed. The proposed method used the minimum or maximum range and optimum energy level to select the best relay node to forward packets to improve the performance in opportunistic routing. OMNeT++ and MiXiM framework were used to simulate and evaluate the proposed method. The simulation settings were adopted based on the benchmark scheme. The evaluation results showed that our proposed method outperforms in the aspect of latency, network lifetime, and packet delivery ratio as compared to the benchmark scheme. PeerJ Inc. 2020-12-07 /pmc/articles/PMC7924681/ /pubmed/33816976 http://dx.doi.org/10.7717/peerj-cs.326 Text en ©2020 Yee et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. |
spellingShingle | Adaptive and Self-Organizing Systems Yee, Por Lip Mehmood, Shahid Almogren, Ahmad Ali, Ihsan Anisi, Mohammad Hossein Improving the performance of opportunistic routing using min-max range and optimum energy level for relay node selection in wireless sensor networks |
title | Improving the performance of opportunistic routing using min-max range and optimum energy level for relay node selection in wireless sensor networks |
title_full | Improving the performance of opportunistic routing using min-max range and optimum energy level for relay node selection in wireless sensor networks |
title_fullStr | Improving the performance of opportunistic routing using min-max range and optimum energy level for relay node selection in wireless sensor networks |
title_full_unstemmed | Improving the performance of opportunistic routing using min-max range and optimum energy level for relay node selection in wireless sensor networks |
title_short | Improving the performance of opportunistic routing using min-max range and optimum energy level for relay node selection in wireless sensor networks |
title_sort | improving the performance of opportunistic routing using min-max range and optimum energy level for relay node selection in wireless sensor networks |
topic | Adaptive and Self-Organizing Systems |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924681/ https://www.ncbi.nlm.nih.gov/pubmed/33816976 http://dx.doi.org/10.7717/peerj-cs.326 |
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