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Mechanism for Saving Base Stations Energy Using Binary Particle Swarm Optimization

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Computer Networks and Inventive Communication Technologies

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 58))

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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Acknowledgements

The authors acknowledge the support and encouragement by the Management, Principal, and Head of Department of Computer Applications and Electronics and Communication Engineering, toward this work.

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Authors and Affiliations

  1. Faculty of Computer Applications, MepcoSchlenk Engineering College, Sivakasi, 626005, India

    A. D. C. Navin Dhinnesh

  2. Faculty of Electronics and Communication Engineering, MepcoSchlenk Engineering College, Sivakasi, 626005, India

    T. Sabapathi

Authors
  1. A. D. C. Navin Dhinnesh
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  2. T. Sabapathi
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Corresponding author

Correspondence to A. D. C. Navin Dhinnesh .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, RVS Technical Campus, Coimbatore, India

    S. Smys

  2. Gerald Schwartz School of Business, St. Francis Xavier University, Antigonish, India

    Ram Palanisamy

  3. University of Lisbon, Lisbon, Portugal

    Álvaro Rocha

  4. Department of Business Administration of Food and Agricultural Enterprises, Agrinio Campus, University of Patras, Patras, Greece

    Grigorios N. Beligiannis

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Navin Dhinnesh, A.D.C., Sabapathi, T. (2021). Mechanism for Saving Base Stations Energy Using Binary Particle Swarm Optimization. In: Smys, S., Palanisamy, R., Rocha, Á., Beligiannis, G.N. (eds) Computer Networks and Inventive Communication Technologies. Lecture Notes on Data Engineering and Communications Technologies, vol 58. Springer, Singapore. https://doi.org/10.1007/978-981-15-9647-6_23

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

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-9646-9

  • Online ISBN: 978-981-15-9647-6

  • eBook Packages: EngineeringEngineering (R0)

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