Fuzzy Logic Based Zone Head Selection Algorithm for Wireless Sensor Networks release_zycu22sb3rgxljfrxspnp6tviq

by Anchal Garg, Department of Computer Science and Engineering, Sant Longowal Institute of Engineering and Technology, Longowal, Punjab, 148106, India., Gurjinder Kaur, Department of Computer Science and Engineering, Sant Longowal Institute of Engineering and Technology, Longowal, Punjab, 148106, India.

Published in Journal of University of Shanghai for Science and Technology by ADD Technologies.

2021   Volume 23, Issue 07, p1210-1215

Abstract

Hot-spots are a problem that comes in the cluster-based routing protocol that employs multi-hop communication due to this problem the energy among the sensor nodes is not balanced. The hot-spots issue requires high overhead and is prone to connectivity issues in the sensor network this can be only possible because of unequal clustering. In this method, we have to act on all the nodes of the sensor network for communication. This process consumes high system energy if the numbers of nodes are very high. To offer guaranteed connectivity, decrease high usage and complexity, a fuzzy logic-based zone divisional method has been proposed in this paper. Use fuzzy logic to create clusters and assign nodes to them to decrease the consumption of energy and the age of the network prolongation. The simulation and results section shows the outperformance of the proposed protocol, where the (LEACH) low-energy adaptive clustering hierarchy, (EAUCF) energy-aware unequal clustering fuzzy,(EAMMH) energy-aware multi-hop multi-path hierarchical, and (TTDFP) two-tier distributed fuzzy logic-based protocol for efficient data aggregation in multi-hop wireless sensor networks algorithms. The proposed algorithm has better results in terms of energy consumption minimization, and prolongation of the network lifetime.
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