Optimizing Techniques for Energy Efficiency in Wireless Sensor Network

The establishment of a Wireless Sensor Networks (WSN) faces the main challenge of managing the available energy efficiently. With Particle Swarm Optimization (PSO) and Harmony Memory Search (HMS) algorithms optimising routing and cluster formation in the Sensor Network, energy efficiency can be assured and the life span of WSN can be extended. This paper implements a new HMS-PSO protocol to ensure the most efficient cluster head selection process and also find an optimised routing path that confirms WSNs to be highly energy efficient. This substantiates the configuration of a hierarchical un-equal clustering architecture for selecting CHs and relay nodes as well as optimises the routing path between CHs to BS to accomplish efficient use of the constrained energy resources.