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Performance Analysis of Metaheuristic Particle Swarm Optimization-Based Enhanced LEACH Protocol

  • Punith Bekal
  • , Pramod Kumar*
  • , Pallavi R. Mane
  • *Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Abstract

    Due to the widespread applications of wireless sensor networks, it becomes very obvious to make them perform better by utilizing energy-efficient protocols. Energy-efficient protocols are developed by combining existing protocols with some advanced algorithms to enhance the performance of already existing protocols. Different parameters like dead and alive nodes, the remaining average energy of sensor nodes, and packets delivered within a network can be considered for optimizing their performance. Along with these network parameters, the positioning of the base station also plays a pivotal role in the performance of the network. In this article, a metaheuristic approach has been combined with a revised LEACH protocol called enhanced LEACH is considered for optimizing the overall performance of the wireless sensor network. An analysis is based on the above mentioned network parameters. The different position of the base station is also altered (i.e., the center positioning of the base station and periphery positioning of the base station in the network area) and the performance of these network parameters is evaluated. Simulation is carried out in MATLAB 2023b. It is clear from the simulation that positioning the base station in the center of the network area performs better than positioning it at the periphery.

    Original languageEnglish
    Title of host publicationData Processing and Networking - Proceedings of ICDPN 2024
    EditorsAbhishek Swaroop, Bal Virdee, Sérgio Duarte Correia, Jan Valicek
    PublisherSpringer Science and Business Media Deutschland GmbH
    Pages113-125
    Number of pages13
    ISBN (Print)9789819631018
    DOIs
    Publication statusPublished - 2025
    EventInternational Conference on Data Processing and Networking, ICDPN 2024 - České Budějovice, Czech Republic
    Duration: 25-10-202426-10-2024

    Publication series

    NameLecture Notes in Networks and Systems
    Volume1288 LNNS
    ISSN (Print)2367-3370
    ISSN (Electronic)2367-3389

    Conference

    ConferenceInternational Conference on Data Processing and Networking, ICDPN 2024
    Country/TerritoryCzech Republic
    CityČeské Budějovice
    Period25-10-2426-10-24

    All Science Journal Classification (ASJC) codes

    • Control and Systems Engineering
    • Signal Processing
    • Computer Networks and Communications

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