Optimization Technique For Enhance the Energy and Network Lifetime of WSN
A network of self-configurable nodes is the Wireless Sensor Network (WSN). Nodes are run using a limited, irreplaceable source of energy. Service of Node involves the sensing and data transmission to the base station. In this paper, a new routing algorithm based on ant colony optimisation, which uses particular parameters in its skills feature to reduce energy consumption and network node life. A new updater on pheromone has been developed to incorporate energy usage and hops into routing choices in this new algorithm known as life-length routing algorithms for wireless sensor networks. In comparison with AODV, clustering with the proposed routing algorithm could be seen by our results of several simulations. The proposed work deals with effective energy use, movement of nodes, problems with hidden areas and the routing of WSN architecture in a life time. The nodes of early deceased are reduced by the residue energy of the sensing node, the distance from the foundation and the adaptive sleep scheduling algorithms.