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2020 | OriginalPaper | Chapter

12. Bio-inspired Algorithm for Multi-objective Optimization in Wireless Sensor Network

Authors : Anindita Raychaudhuri, Debashis De

Published in: Nature Inspired Computing for Wireless Sensor Networks

Publisher: Springer Singapore

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Abstract

In recent days bio-inspired computing is playing an important role in the area of research. Especially bio-inspired algorithms which are inspired by the behavior of nature are massively used to perform optimization. Wireless Sensor Networks (WSN) are playing vital role in all sectors. Some crucial issues of WSN are clustering, optimal routing, dynamic allocation of motes, energy and lifetime optimization. Researchers are working for several years to resolve issues of WSN for better quality of service. Bio-inspired algorithms like Particle Swarm Optimization (PSO) and Ant Colony Optimization (ACO) are playing important role in solving the issues of WSN. Still some algorithms are insufficiently studied. Bio-inspired computing is gradually gaining interest from researchers for its intelligence and adaptive nature. Although these algorithms have perceived a lot of attention from researchers in current years, the domain-specific understanding still needs to be improved for its establishment. In this chapter bio-inspired algorithms are discussed concisely with their importance in the field of wireless sensor networks.

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Title: Bio-inspired Algorithm for Multi-objective Optimization in Wireless Sensor Network
Authors: Anindita Raychaudhuri
Debashis De
Publisher: Springer Singapore
Book: Nature Inspired Computing for Wireless Sensor Networks
Print ISBN: 978-981-15-2124-9

Electronic ISBN: 978-981-15-2125-6

Copyright Year: 2020
DOI: https://doi.org/10.1007/978-981-15-2125-6_12

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