Optimized Cluster-Based Routing in Wireless Sensor Networks Using a Fuzzy Logic–Particle Swarm (FL-PSO) based Hybrid Model for Energy Efficiency and Congestion Minimization Control
Keywords:
Index Words - Wireless Sensor Networks, Energy Efficiency, Congestion Minimization.Abstract
In this paper, the implementation of the hybrid model of Fuzzy Logic with Particle Swarm Optimization (FL-PSO) algorithm for the proposed research work on “Cluster-based routing by using advanced ICSHS algorithm for efficient energy management (Congestion minimization and energy aware cluster-based routing algorithms for wireless sensor networks)” is presented along with the simulation results and brief discussions along with the comparisions of the proposed work with others.
References
Govind P. Gupta, Sonu Jha, et.al., “Integrated clustering and routing protocol for wireless sensor networks using Cuckoo and Harmony Search based metaheuristic techniques”, Engineering Applications of Artificial Intelligence, Volume 68, 2018, pp. 101-109, ISSN 0952-1976.
Riham S.Y., Elhabyan, Mustapha C.E., Yagoub, et.al., “Two-tier particle swarm optimization protocol for clustering and routing”, Wireless sensor network Journal of Network and Computer Applications, Volume 52, pp. 116-128, ISSN 1084-8045, 2015,
