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A Multi-hop Energy-Efficient Cluster-Based Routing Using Multi-verse Optimizer in IoT Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Mechanism for Saving Base Stations Energy Using Binary Particle Swarm Optimization

Authors : A. D. C. Navin Dhinnesh, T. Sabapathi

Published in: Computer Networks and Inventive Communication Technologies

Publisher: Springer Nature Singapore

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Abstract

Energy is a precious resource and that has to be saved for a sustainable hassle-free future. The main objective of this paper is to save the base stations energy in order to increase the nodes lifetime in a network. This paper focuses on 5G networks by considering a heterogeneous nature of cells, i.e., macro and small cells. Both low-data and high-data traffic rates are taken into account. The base station will be serving the user environments that tend to overlap the nearby base stations area. Therefore, making the other base station to remain in a sleep state, and save the base stations energy. A binary particle swarm optimization is formulated for solving this approach to save the base stations energy. The results obtained are compared with the conventional schemes, and it is inferred that the proposed approach is better than the existing approaches. The aggregate delay is less according to this proposed method.

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Metadata
Title
Mechanism for Saving Base Stations Energy Using Binary Particle Swarm Optimization
Authors
A. D. C. Navin Dhinnesh
T. Sabapathi
Copyright Year
2021
Publisher
Springer Nature Singapore
Book
Computer Networks and Inventive Communication Technologies

Print ISBN: 978-981-15-9646-9

Electronic ISBN: 978-981-15-9647-6

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-981-15-9647-6_23