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A New Fuzzy Clustering Algorithm to Enhance Lifetime of Wireless Sensor Networks

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Proceedings of the Third International Afro-European Conference for Industrial Advancement — AECIA 2016 (AECIA 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 565))

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Abstract

Due to limitations of resource in wireless sensor networks (WSNs) enhancing the network lifetime has been of great concern. An efficient routing algorithm is known as clustering algorithm based routing protocol. In which getting optimal cluster heads (CHs) and a number of them has been defiance. In this paper, a new fuzzy clustering algorithm is proposed to maximize the lifetime of WSNs. Network field in this approach, contains two types of sensors: free sensors that communicate directly with sink, and clustered sensors that send the sensed data to the sink through CHs which are preselected. This approach uses fuzzy logic to select free sensor nodes and CHs with four fuzzy parameters. These parameters are energy level of sink and sensor proximity to the sink in terms of free sensors selection, and energy level of sensor node and centrality of sensors in terms of CHs selection. The main goal of our algorithm is to extend the lifetime of WSNs by minimizing distributing the workload on CHs. The simulation results show that our proposed is more efficient than SET protocol.

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Authors and Affiliations

  1. STRS Laboratory, National Institute of Posts and Telecommunications – INPT, Rabat, Morocco

    Hassan El Alami & Abdellah Najid

Authors
  1. Hassan El Alami
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  2. Abdellah Najid
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Corresponding author

Correspondence to Hassan El Alami .

Editor information

Editors and Affiliations

  1. Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

  2. Department of Mathematics and Computer, Faculty of Sciences and Techniques, Settat, Morocco

    Abdelkrim Haqiq

  3. Information Technology Department, Faculty of Computers and Information, Giza, Egypt

    Aboul Ella Hassanien

  4. VSB-Technical University of Ostrava, Ostrava, Czech Republic

    Vaclav Snasel

  5. ENIS, University of Sfax, Sfax, Tunisia

    Adel M. Alimi

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El Alami, H., Najid, A. (2018). A New Fuzzy Clustering Algorithm to Enhance Lifetime of Wireless Sensor Networks. In: Abraham, A., Haqiq, A., Ella Hassanien, A., Snasel, V., Alimi, A. (eds) Proceedings of the Third International Afro-European Conference for Industrial Advancement — AECIA 2016. AECIA 2016. Advances in Intelligent Systems and Computing, vol 565. Springer, Cham. https://doi.org/10.1007/978-3-319-60834-1_8

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  • DOI: https://doi.org/10.1007/978-3-319-60834-1_8

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60833-4

  • Online ISBN: 978-3-319-60834-1

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