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Wireless Networks
Published in: Wireless Networks 6/2020

21-04-2020

Glowworm swarm optimization for effectual load balancing and routing strategies in wireless sensor networks

Authors: A. Sampathkumar, Jaison Mulerikkal, M. Sivaram

Published in: Wireless Networks | Issue 6/2020

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Abstract

Wireless sensor networks (WSNs) are generically self-configuring and organizing networks with constrained communicational ability and energy supply. One of the crucial crises in WSN is the employment of energy effectual routing and load balancing protocol to improve network lifetime. Therefore, this work anticipated an effectual load balancing and routing strategies using the Glowworm swarm optimization approach (LBR-GSO). This LBR-GSO employs a pseudo-random route discovery algorithm and an enhanced pheromone trail-based updating strategy to handle the energy consumption of sensor nodes. It utilizes an effectual heuristic updating algorithm based on cost effectual energy measure to optimize route establishment. At last, to eliminate energy consumption that causes due to control overhead, LBR-GSO cast-off energy-based broadcasting strategy has been proposed. Here, WSNs environment is simulated in MATLAB for various application scenarios to compute LBR-GSO along with metrics such as energy efficiency, energy consumption and prolonging network lifetime. Outcomes derived from this comprehensive analysis determine that LBR-GSO offers an effectual enhancement in contrary to prevailing approaches like ACO, EE-ACO and s-Ant approaches.
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Metadata
Title
Glowworm swarm optimization for effectual load balancing and routing strategies in wireless sensor networks
Authors
A. Sampathkumar
Jaison Mulerikkal
M. Sivaram
Publication date
21-04-2020
Publisher
Springer US
Published in
Wireless Networks / Issue 6/2020
Print ISSN: 1022-0038
Electronic ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-020-02336-w

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