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An Energy-Efficient Distributed Unequal Clustering Approach for Lifetime Maximization in Wireless Sensor Network

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EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

Abstract

In Wireless Sensor Networks, higher energy consumption is caused due to gathering and transmission of a large amount of sensor data. In clustering, each sensor node forwards its sensed information to the Cluster Head, which further transmits the processed information to the sink. Thus, such cluster heads have more chances of being affected by node death due to higher workload and therefore rapidly decreases the lifetime of the sensor network and eventually affects the network performance. This research paper introduces a clustering algorithm named Energy-Efficient Distributed Unequal Clustering Approach for balancing the energy depletion among the cluster heads which could eliminate the hot spot problem and thus achieve lifetime maximization in Wireless Sensor Network. It implements unequal clustering technique over the sensor nodes where the cluster head election is based on fuzzy inference system, where the sensor nodes discovered with the higher chance are finalized as cluster heads. Based on the input fuzzy parameters, the cluster size is optimally adjusted to achieve load balancing among the clusters. The simulation is executed to demonstrate the performance of proposed approach with the existing LEACH, CHEF, DUCF energy-efficient clustering approach in various network scenarios.

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Authors and Affiliations

  1. Department of Computer and Information Sciences, Annamalai University, Chidambaram, India

    S. Manikandan & M. Jeyakarthic

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  1. S. Manikandan
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  2. M. Jeyakarthic
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Editors and Affiliations

  1. Department of Computer Science & Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India

    Anandakumar Haldorai

  2. Department of Computer Science & Engineering, Presidency University, Bengaluru, India

    Arulmurugan Ramu

  3. Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India

    Sudha Mohanram

  4. Department of Electrical Engineering, Faculty of Engineering, University of Malaysia, Kuala Lumpur, Kuala Lumpur, Malaysia

    Chow Chee Onn

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Manikandan, S., Jeyakarthic, M. (2020). An Energy-Efficient Distributed Unequal Clustering Approach for Lifetime Maximization in Wireless Sensor Network. In: Haldorai, A., Ramu, A., Mohanram, S., Onn, C. (eds) EAI International Conference on Big Data Innovation for Sustainable Cognitive Computing. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-19562-5_7

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  • DOI: https://doi.org/10.1007/978-3-030-19562-5_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19561-8

  • Online ISBN: 978-3-030-19562-5

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