A Fuzzy Based Predictive Cluster Head Selection Scheme for Wireless Sensor Networks

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering , Engineering, Electrical & Electronic

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VOLUME 7 , ISSUE 5 (December 2014) > List of articles

Special issue ICST 2014

A Fuzzy Based Predictive Cluster Head Selection Scheme for Wireless Sensor Networks

Hemavathi Natarajan / Sudha Selvara

Keywords : wireless sensor networks; cluster head selection; fuzzy logic; rate of recurrent communication; prediction

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 7, Issue 5, Pages 1-8, DOI: https://doi.org/10.21307/ijssis-2019-022

License : (CC BY-NC-ND 4.0)

Published Online: 15-February-2020

ARTICLE

ABSTRACT

Clustering, an energy efficient approach is used in Wireless Sensor Network. Clustering involves cluster formation and Cluster Head Selection. As the Cluster Head is involved in carrying out the entire communication, a high energy node has to be selected as Cluster Head. In this paper, a novel predictive Fuzzy based Cluster Head selection algorithm is proposed. The proposal suggests a new input parameter, Rate of recurrent Communication apart from the standard parameters namely the Residual Power of Sensor Nodes, Degree of Neighboring Nodes, Distance between the Node and Base Station, Sensor Node Movement. In this approach, the fuzzy logic evaluates the Cluster Head Selection Probability which is based on the node’s previous communication history to decide the Cluster Head. The proposed algorithm is implemented using Matlab. The simulation results show that the proposed Cluster Head Selection technique is superior to other proposals.

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