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

  • S. Manikandan
  • M. Jeyakarthic
Conference paper
Part of the EAI/Springer Innovations in Communication and Computing book series (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.

Keywords

Wireless Sensor Network Energy efficiency Unequal clustering Fuzzy logic Load balancing Distributed approach 

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • S. Manikandan
    • 1
  • M. Jeyakarthic
    • 1
  1. 1.Department of Computer and Information SciencesAnnamalai UniversityChidambaramIndia

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