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A Firefly Algorithm for Energy Efficient Clustering in Wireless Sensor Networks

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Artificial Intelligence Doctoral Symposium (AID 2022)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1852))

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Abstract

The fundamental metric token by clustering algorithms in Wireless Sensor Networks (WSN) is energy enhancement to maximize network lifetime. One of the crucial issues is network coverage in order to use all of the network’s resources, which increases the lifetime of the network. Moreover, load balancing techniques play an essential role in improving network lifetime due to their efficient way of distributing the load between nodes. The goal of this work is to assemble these two approaches in clustered WSN in order to improve resources utilization and increase network lifetime. Thus, we present a new clustering algorithm named Firefly optimization based Adaptive Clustering for Energy Efficiency (FACEE) which uses a novel clustering based firefly optimization algorithm for coverage improvement and load balancing. The simulation results indicate that our proposed algorithm can significantly improve the network lifetime as well as the delivery rate.

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Author information

Authors and Affiliations

  1. LIAM laboratory Mohamed Boudief University of M’sila, M’sila, Algeria

    Mohamed Sahraoui & Abd Elmalik Taleb-Ahmed

  2. IEMN DOAE Laboratory Hauts de France Polytechnic University of Valenciennes, Valenciennes, France

    Mohamed Sahraoui & Abd Elmalik Taleb-Ahmed

Authors
  1. Mohamed Sahraoui
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  2. Abd Elmalik Taleb-Ahmed
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Corresponding author

Correspondence to Mohamed Sahraoui .

Editor information

Editors and Affiliations

  1. University of Sciences and Technology Houari Boumediene, Algiers, Algeria

    Habiba Drias

  2. University of Technology of Troyes, Troyes, France

    Farouk Yalaoui

  3. Laboratory of Computer Science and Automatic Control for Systems, Poitiers, France

    Allel Hadjali

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Sahraoui, M., Taleb-Ahmed, A.E. (2023). A Firefly Algorithm for Energy Efficient Clustering in Wireless Sensor Networks. In: Drias, H., Yalaoui, F., Hadjali, A. (eds) Artificial Intelligence Doctoral Symposium. AID 2022. Communications in Computer and Information Science, vol 1852. Springer, Singapore. https://doi.org/10.1007/978-981-99-4484-2_1

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  • DOI: https://doi.org/10.1007/978-981-99-4484-2_1

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-4483-5

  • Online ISBN: 978-981-99-4484-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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