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Bimonthly Since 1986 |
ISSN 1004-9037
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Publication Details |
Edited by: Editorial Board of Journal of Data Acquisition and Processing
P.O. Box 2704, Beijing 100190, P.R. China
Sponsored by: Institute of Computing Technology, CAS & China Computer Federation
Undertaken by: Institute of Computing Technology, CAS
Published by: SCIENCE PRESS, BEIJING, CHINA
Distributed by:
China: All Local Post Offices
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Abstract
This paper focuses on the implementation of Nature inspired metaheuristic algorithms in Wireless Sensor Networks (WSNs) such as Particle Swarm Optimization (PSO), Whale Optimization Algorithm (WOA) can be implemented in WSNs. The performance is evaluated on Network Lifetime, Clustering of nodes, energy consumption levels. It is observed that the PSO and WOA are consistently shows better results than Low-Energy Adaptive Clustering Hierarchy (LEACH). However, The WOA have been competitive with the PSO algorithm with its results leaning towards on the better side. The study complements related research on the application of swarm intelligence in WSN by focusing on routing optimization, energy aware protocols and centralized clustering of nodes.
Keyword
Wireless Sensor Networks (WSNs) – Clustering – Routing optimization – Network lifetime – Metaheuristic algorithms – LEACH – PSO - WOA.
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