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Article type: Research Article
Authors: Thilagavathi, S.a; * | GeethaPriya, C.b
Affiliations: [a] Department of Information and Communication, Anna University, Chennai, Tamilnadu, India | [b] Department of Electronics and Communication Engineering, Kamaraj College of Engineering and Technology, Virudhunagar, Tamilnadu, India
Correspondence: [*] .Corresponding author. S. Thilagavathi, Department of Information and Communication, Anna University, Chennai, Tamilnadu, India. Tel.: +91 9486858133; E-mail: thilagavathi_s@yahoo.com.
Abstract: Improving the network lifetime is a major concern in wireless sensor networks (WSNs). Due to the limited energy capacity of the sensor nodes, wireless sensor network faces several challenges for improving the lifetime. Clustering is the influential technique used to minimize the energy consumption of the sensor nodes. Researchers have developed lot of clustering algorithms with unique features and challenges. First, this paper begins with the discussion of the clustering characteristics of the different approaches in detail and the radio model used. Further, the survey of the clustering algorithms which is classified into two categories: Traditional and computational based is presented and performance comparison is given according to the requirements of the WSN like energy efficiency, scalability, delivery delay and link quality.
Keywords: Wireless sensor networks, clustering, network lifetime, traditional, computational intelligence
DOI: 10.3233/JIFS-210858
Journal: Journal of Intelligent & Fuzzy Systems, vol. 44, no. 1, pp. 573-593, 2023
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