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Maximizing Lifetime of Wireless Sensor Networks Based on Whale Optimization Algorithm

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Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017 (AISI 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 639))

Abstract

The lifetime of wireless sensor networks (WSNs) are considered one of the most challenges that face the topology control of WSNs. Topology control of WSNs is a technique to optimize the connections between nodes to reduce the interference between them, save energy and extend network lifetime. In this paper proposed an algorithm based on Whale Optimization Algorithm (WOA) called WOTC, the paper provides a discrete version of the WOA, where the position of each Whale is calculate and represented in a binary format. The proposed fitness function is designed to consider two main target; a minimization in numbers of active nodes, and low energy consumption within these nodes to overcome challenges that face topology control to prolong the WSNs lifetime, the simulations were carried out using Attaraya a simulator. Consequently, the results showed that the final topology obtained by WOTC is better than A3 topology depending on the number of neighbors and their energies for active nodes, use a graph traversal function to ensure that all nodes which selected in network are covered in the best topology selection.

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Authors and Affiliations

  1. Faculty of Computers and Information, Minia University, Minya, Egypt

    Mohammed M. Ahmed & Essam H. Houssein

  2. Faculty of Computers and Information, Cairo University, Giza, Egypt

    Aboul Ella Hassanien, Ayman Taha & Ehab Hassanien

  3. Scientific Research Group in Egypt (SRGE), Cairo, Egypt

    Mohammed M. Ahmed, Essam H. Houssein & Aboul Ella Hassanien

Authors
  1. Mohammed M. Ahmed
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  2. Essam H. Houssein
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  3. Aboul Ella Hassanien
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  4. Ayman Taha
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  5. Ehab Hassanien
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Corresponding author

Correspondence to Mohammed M. Ahmed .

Editor information

Editors and Affiliations

  1. Faculty of Computers and Information, Information Technology Department, Cairo University, Giza, Egypt

    Aboul Ella Hassanien

  2. Dubai International Academic City, The British University in Dubai, Dubai, United Arab Emirates

    Khaled Shaalan

  3. Faculty of Computers and Informatics, Suez Canal University, Ismailia, Egypt

    Tarek Gaber

  4. Ain Shams University, Cairo, Egypt

    Mohamed F. Tolba

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Ahmed, M.M., Houssein, E.H., Hassanien, A.E., Taha, A., Hassanien, E. (2018). Maximizing Lifetime of Wireless Sensor Networks Based on Whale Optimization Algorithm. In: Hassanien, A., Shaalan, K., Gaber, T., Tolba, M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017. AISI 2017. Advances in Intelligent Systems and Computing, vol 639. Springer, Cham. https://doi.org/10.1007/978-3-319-64861-3_68

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  • DOI: https://doi.org/10.1007/978-3-319-64861-3_68

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-64860-6

  • Online ISBN: 978-3-319-64861-3

  • eBook Packages: EngineeringEngineering (R0)

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