Cluster-Head Election Using Fuzzy Logic for Wireless Sensor Networks

  • Authors:
  • Indranil Gupta;Denis Riordan;Srinivas Sampalli

  • Affiliations:
  • Dalhousie University;Dalhousie University;Dalhousie University

  • Venue:
  • CNSR '05 Proceedings of the 3rd Annual Communication Networks and Services Research Conference
  • Year:
  • 2005

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Abstract

Wireless Sensor Networks (WSNs) present a new generation of real-time embedded systems with limited computation, energy and memory resources that are being used in a wide variety of applications where traditional networking infrastructure is practically infeasible. Appropriate cluster-head node election can drastically reduce the energy consumption and enhance the lifetime of the network. In this paper, a fuzzy logic approach to cluster-head election is proposed based on three descriptors - energy, concentration and centrality. Simulation shows that depending upon network configuration, a substantial increase in network lifetime can be accomplished as compared to probabilistically selecting the nodes as cluster-heads using only local information.