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利用最小-最大范围和最优能量水平改进机会路由性能以用于无线传感器网络中的中继节点选择

Improving the performance of opportunistic routing using min-max range and optimum energy level for relay node selection in wireless sensor networks.

作者信息

Yee Por Lip, Mehmood Shahid, Almogren Ahmad, Ali Ihsan, Anisi Mohammad Hossein

机构信息

Department of Computer System and Technology, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia.

Department of Computer Science, College of Computer and Information Sciences, King Saud University, Riyadh, Saudi Arabia.

出版信息

PeerJ Comput Sci. 2020 Dec 7;6:e326. doi: 10.7717/peerj-cs.326. eCollection 2020.

DOI:10.7717/peerj-cs.326
PMID:33816976
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7924681/
Abstract

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.

摘要

机会路由是一种新兴的路由技术,旨在克服不可靠传输的缺点,特别是在无线传感器网络(WSN)中。多年来,人们提出了许多转发器方法来提高机会路由的性能。然而,基于现有工作,研究结果表明,该领域仍有改进空间,特别是在延迟、网络寿命和数据包交付率方面。在这项工作中,提出了一种新的中继节点选择方法。该方法使用最小或最大范围以及最佳能量水平来选择最佳中继节点转发数据包,以提高机会路由的性能。使用OMNeT++和MiXiM框架对该方法进行模拟和评估。基于基准方案采用模拟设置。评估结果表明,与基准方案相比,我们提出的方法在延迟、网络寿命和数据包交付率方面表现更优。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ef3/7924681/325fa8436eb0/peerj-cs-06-326-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ef3/7924681/b932adf72332/peerj-cs-06-326-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ef3/7924681/2a3ee0ac189b/peerj-cs-06-326-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ef3/7924681/fbdc8a9c18a5/peerj-cs-06-326-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ef3/7924681/49ab64815a5f/peerj-cs-06-326-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ef3/7924681/90712a046abd/peerj-cs-06-326-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ef3/7924681/502cf2ddb8b3/peerj-cs-06-326-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ef3/7924681/a6916b392498/peerj-cs-06-326-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ef3/7924681/33ee5117d19b/peerj-cs-06-326-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ef3/7924681/325fa8436eb0/peerj-cs-06-326-g012.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ef3/7924681/b932adf72332/peerj-cs-06-326-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ef3/7924681/bd2e0ffe43b0/peerj-cs-06-326-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ef3/7924681/f96069070e28/peerj-cs-06-326-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ef3/7924681/c8b946b57f30/peerj-cs-06-326-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ef3/7924681/2a3ee0ac189b/peerj-cs-06-326-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ef3/7924681/fbdc8a9c18a5/peerj-cs-06-326-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ef3/7924681/49ab64815a5f/peerj-cs-06-326-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ef3/7924681/90712a046abd/peerj-cs-06-326-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ef3/7924681/502cf2ddb8b3/peerj-cs-06-326-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ef3/7924681/a6916b392498/peerj-cs-06-326-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ef3/7924681/33ee5117d19b/peerj-cs-06-326-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0ef3/7924681/325fa8436eb0/peerj-cs-06-326-g012.jpg

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