Power aware routing algorithms (PARA) in wireless mesh networks for emergency management

Al-Hadhrami, T. ORCID: 0000-0001-7441-604X, Saeed, F. and Olajide, F., 2018. Power aware routing algorithms (PARA) in wireless mesh networks for emergency management. PLoS ONE, 13 (10): e0204751. ISSN 1932-6203

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Abstract

Wireless Mesh Networks (WMNs) integrate the advantages of WLANs and mobile Ad Hoc networks, which have become the key techniques of next-generation wireless networks in the context of emergency recovery. Wireless Mesh Networks (WMNs) are multi-hop wireless networks with instant deployment, self-healing, self-organization and self-configuration features. These capabilities make WMNs a promising technology for incident and emergency communication. An incident area network (IAN) needs a reliable and lively routing path during disaster recovery and emergency response operations when infrastructure-based communications and power resources have been destroyed and no routes are available. Power aware routing plays a significant role in WMNs, in order to provide continuous efficient emergency services. The existing power aware routing algorithms used in wireless networks cannot fully fit the characteristics of WMNs, to be used for emergency recovery. This paper proposes a power aware routing algorithm (PARA) for WMNs, which selects optimal paths to send packets, mainly based on the power level of next node along the path. This algorithm was implemented and tested in a proven simulator. The analytic results show that the proposed power node-type aware routing algorithm metric can clearly improve the network performance by reducing the network overheads and maintaining a high delivery ratio with low latency.

Item Type: Journal article
Publication Title: PLoS ONE
Creators: Al-Hadhrami, T., Saeed, F. and Olajide, F.
Publisher: Public Library of Science
Date: 2018
Volume: 13
Number: 10
ISSN: 1932-6203
Identifiers:
NumberType
10.1371/journal.pone.0204751DOI
Rights: © 2018 Al-Hadhrami et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Divisions: Schools > School of Science and Technology
Depositing User: Linda Sullivan
Date Added: 08 Nov 2018 15:20
Last Modified: 08 Nov 2018 15:20
URI: http://irep.ntu.ac.uk/id/eprint/34871

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