Fuzzy-Logic-Inspired Zone-Based Clustering Algorithm for Wireless Sensor Networks
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Fuzzy-Logic-Inspired Zone-Based Clustering Algorithm for Wireless Sensor Networks Thompson Stephan1 • Kushal Sharma1 • Achyut Shankar1 Vijayakumar Varadarajan3 • Peide Liu4
•
S. Punitha2
•
Received: 27 April 2020 / Revised: 11 July 2020 / Accepted: 22 July 2020 Taiwan Fuzzy Systems Association 2020
Abstract With the increasing use of wireless terminals, wireless sensor networks (WSNs) have received significant attention owing to their wide usage in monitoring harsh environments, crucial surveillance and security applications, and other real-life applications. Sensor nodes in operation are equipped with batteries that are not rechargeable in most of the cases. Attaining the lifetime maximization of these nodes has drawn the attention of researchers in recent years. The clustering mechanism is highly successful in conserving energy resources for network activities and has become a promising field for
researches to overcome the issues of battery-constrained WSNs. This research work implements zone-based clustering with the fuzzy-logic approach for dynamic cluster head (CH) selection. It aims to resolve the problem of unbalanced energy dissipation among the CHs in the network. The experimental results show that the proposed protocol outperforms the existing protocols in terms of maximizing the network lifetime.
& Achyut Shankar [email protected]
1 Introduction
Thompson Stephan [email protected] Kushal Sharma [email protected] S. Punitha [email protected] Vijayakumar Varadarajan [email protected] Peide Liu [email protected] 1
Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, India
2
Department of Computer Science and Engineering, Karunya Institute of Technology and Sciences, Coimbatore 641114, India
3
School of Computer Science and Engineering, The University of New South Wales, Kensington, Australia
4
Shandong University of Finance and Economics, Jinan, China
Keywords Wireless sensor network Clustering Fuzzy logic Energy efficiency Lifetime
Recent advancements within the field of micro-electrical technology, especially in the field of mechanical systems, controlled by small electrical components, have paved the path for the development of smart and efficient sensor equipment. WSNs have become an integral part of various applications in day-to-day life such as environmental monitoring, healthcare monitoring, war field surveillance, vehicular communication [1], home automation, and so forth. In the past, researchers have focused on different issues such as energy efficiency [2–4] and routing [5, 6] related to WSNs. The sensor nodes vary in many different sizes according to the application in which they are being used. Minuscule sensor nodes (SN) are constrained with memory, bandwidth, computation power, or energy and further fitted with nonreplenishable batteries. Also, they consume power in sensing, handling, and transmitting the data, hence the on-board power on the node m
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