Enhancement of Fuzzy Logic Controller Using the Meta-Heuristic Algorithm for Energy-Efficient Cluster Head Selection in WSN

Author(s):

Mr. Ranjit V. Bobate , Priyadarshini Institute of Engineering & Technology, Nagpur ; Dr. Gajendra M.Asutkar , Priyadarshini Institute of Engg & Technology, Nagpur

Keywords:

Cluster Head (CH), Fuzzy Logic Control (FLC), Genetic Algorithm (GA), Low Energy Adaptive Clustering Hierarchy (LEACH), Particle Swarm Optimization (PSO)

Abstract:

Power administration is the key factor to recover the lifespan of the sensor network in WSN. Cluster is one of the mainly commanding strategies to organize a network to attend to the scalability of the network, use of remaining energy, and enhance the lifetime. In most of the proposed algorithms, difficult thing is to select the cluster head (CH) throughout the process. To handle such types of problems, the fuzzy logic approach is the best solution with adoptive, elastic, and intellectual modes for taking the decision that improves the life span of the network.
Here, We proposed the most favorable power management approach to progress the power efficiency in WSN with a fuzzy approach. Optimal FLC means to maintain the alive nodes, boost the residual energy stages, reduce Packet Loss rate, and reduced the delay in-between process, Hence to improve FLC, some meta-heuristic algorithms such as PSO, GA are used. Simulation results are conducted for LEACH, FLC, FLC-GA, FLC- PSO using MatLab. As per model outcomes, the FLC-PSO strategy is efficiently managing the energy in WSN that can enhance the lifespan of WSNs.

Other Details:

Manuscript Id	:	IJSTEV7I12025
Published in	:	Volume : 7, Issue : 12
Publication Date	:	01/07/2021
Page(s)	:	36-40

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