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

Por, Lip Yee and Mehmood, Shahid and Almogren, Ahmad and Ali, Ihsan and Anisi, Mohammad Hossein (2020) Improving the performance of opportunistic routing using min-max range and optimum energy level for relay node selection in wireless sensor networks. PeerJ Computer Science, 6. e326. ISSN 2376-5992, DOI https://doi.org/10.7717/peerj-cs.326.

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Official URL: https://doi.org/10.7717/peerj-cs.326

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. © 2020. Yee et al. All Rights Reserved.

Item Type: Article
Funders: University of Malaya, Malaysia: BKS022-2018, Postgraduate Research Grant: PG035-2016A, Fundamental Research Grant Scheme from the Ministry of Higher Education, Malaysia: FP114-2018A, King Saud University, Riyadh, Saudi Arabia: RSP-2020/184
Uncontrolled Keywords: Adaptive and Self-Organizing Systems; Agents and Multi-Agent Systems; Algorithms and Analysis of Algorithms; Artificial Intelligence; Computer Networks and Communications; Opportunistic routing; Optimum energy; Relay node; Threshold energy level; Wireless sensor networks (WSNs)
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 18 Feb 2021 07:03
Last Modified: 18 Feb 2021 07:03
URI: http://eprints.um.edu.my/id/eprint/25763

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