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A comprehensive review of fuzzy-based clustering techniques in wireless sensor networks

Manjeet Singh (National Institute of Technology Hamirpur, Himachal Pradesh, India)
Surender Kumar Soni (National Institute of Technology Hamirpur, Himachal Pradesh, India)

Sensor Review

ISSN: 0260-2288

Article publication date: 19 June 2017

Abstract

Purpose

This paper aims to discuss a comprehensive survey on fuzzy-based clustering techniques. The determination of an appropriate sensor node as a cluster head straightforwardly affects a network’s lifetime. Clustering often possesses some uncertainties in determining suitable sensor nodes as a cluster head. Owing to various variables, selection of a suitable node as a cluster head is a perplexing decision. Fuzzy logic is capable of handling uncertainties and improving decision-making processes even with insufficient information. Then, state-of-the-art research in the field of clustering techniques has been reviewed.

Design/methodology/approach

The literature is presented in a tabular form with merits and limitations of each technique. Furthermore, the various techniques are compared graphically and classified in a tabular form and the flowcharts of important algorithms are presented with pseudocodes.

Findings

This paper comprehends the importance and distinction of different fuzzy-based clustering methods which are further supportive in designing more efficient clustering protocols.

Originality/value

This paper fulfills the need of a review paper in the field of fuzzy-based clustering techniques because no other paper has reviewed all the fuzzy-based clustering techniques. Furthermore, none of them has presented literature in a tabular form or presented flowcharts with pseudocodes of important techniques.

Keywords

Citation

Singh, M. and Soni, S.K. (2017), "A comprehensive review of fuzzy-based clustering techniques in wireless sensor networks", Sensor Review, Vol. 37 No. 3, pp. 289-304. https://doi.org/10.1108/SR-11-2016-0254

Publisher

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Emerald Publishing Limited

Copyright © 2017, Emerald Publishing Limited