Energy optimized hybrid PSO and wolf search based LEACH

摘要: In wireless sensor networks (WSN), computational challenges exist in determining a global energy optimized communication routing large spaced network. WSN can be handled by applying heuristic bio-inspired intelligence optimization methods. WSN, Low Energy Adaptive Clustering Hierarchy (LEACH) algorithm is most frequently used hierarchical spite of certain limitations. The proposed work addressed this direction, to improve issues LEACH, such as identification reliable CH, selection efficient inter and intra route using relay nodes, so extend the network lifespan. applies Particle Swarm Optimization (PSO) Wolf Search methods performance LEACH algorithm. PSO castoff for cluster formation search two nodes: node. Spyder-py3 tool simulate algorithm: based (LEACH-PWO). compared with original power-efficient gathering information systems, Ant Cuckoo energy-efficient data aggregation, Genetic Algorithm Aggregation protocols indicate prolonged lifetime increased throughput.