Energy efficient multipath routing algorithm for wireless multimedia sensor network

Genta, Addisalem, Lobiyal, D. K. and Abawajy, Jemal 2019, Energy efficient multipath routing algorithm for wireless multimedia sensor network, Sensors, vol. 19, no. 17, doi: 10.3390/s19173642.

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Title Energy efficient multipath routing algorithm for wireless multimedia sensor network
Author(s) Genta, Addisalem
Lobiyal, D. K.
Abawajy, JemalORCID iD for Abawajy, Jemal
Journal name Sensors
Volume number 19
Issue number 17
Article ID 3642
Total pages 21
Publisher MDPI
Place of publication Basel, Switzerland
Publication date 2019
ISSN 1424-8220
Keyword(s) GA
energy efficiency
network lifetime
Summary Wireless multimedia sensor networks (WMSNs) are capable of collecting multimedia events, such as traffic accidents and wildlife tracking, as well as scalar data. As a result, WMSNs are receiving a great deal of attention both from industry and academic communities. However, multimedia applications tend to generate high volume network traffic, which results in very high energy consumption. As energy is a prime resource in WMSN, an efficient routing algorithm that effectively deals with the dynamic topology of WMSN but also prolongs the lifetime of WMSN is required. To this end, we propose a routing algorithm that combines dynamic cluster formation, cluster head selection, and multipath routing formation for data communication to reduce energy consumption as well as routing overheads. The proposed algorithm uses a genetic algorithm (GA)-based meta-heuristic optimization to dynamically select the best path based on the cost function with the minimum distance and the least energy dissipation. We carried out an extensive performance analysis of the proposed algorithm and compared it with three other routing protocols. The results of the performance analysis showed that the proposed algorithm outperformed the three other routing protocols.
Language eng
DOI 10.3390/s19173642
Indigenous content off
Field of Research 0301 Analytical Chemistry
0906 Electrical and Electronic Engineering
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2019, The Authors
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