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

• Published in: Sensor review 2017-01, Vol.37 (3), p.289-304
• Main Authors: Singh, Manjeet, Soni, Surender Kumar
• Format: Article
• Language: English
• Subjects: Algorithms; Clustering; Clusters; Decision making; Energy; Fuzzy logic; Fuzzy sets; Literature reviews; Protocol (computers); Remote sensors; Sensors; Wireless networks; Wireless sensor networks
• ISSN: 0260-2288; 1758-6828
• DOI: 10.1108/SR-11-2016-0254

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.