Abstract
: WSN is highly interested area of research in nowadays. when particular purpose needs to achieve in a non-reachable area by human there, we placed sensing devices in wireless mode. But the problem is sensors has a limited resource as memory, energy, bandwidth. In network various nodes, cluster head, one sink. Furthermore, hot spots in a WSNs emerge as locations under heavy traffic load. Nodes in such areas quickly drain energy resources, leading to disconnection in network services. Cluster based routing algorithms in WSNs have recently gained increased interest, and energy efficiency is of particular interest. A cluster head (CH) represents all nodes in the cluster and collects data values from them. To balance the energy consumption and the traffic load (hotspot) in the network, the CH should be rotated among all nodes and the cluster size should be carefully determined at different parts of the WSNs. From past research [18 and 19], We have considered the problem of hop-based communication, network overhead, stability issues, location awareness, appropriate utilization of network heterogeneity, optimum election probability, cost, localization issues, multi-hop communication and higher energy consumption within local regions of network along with total lifetime of network etc. This research work proposed an optimum cluster based solution for routing in WSN, our protocol utilize node location, sensor density, distance of nodes from BS, distance between individual sensors, energy values (residual energy, initial energy, average energy, total network energy), connectivity density etc. for global decision within network (Optimum election of Heads). Optimum value of cost function will be decided through our proposed multi-objective Genetic Algorithm. In this paper we purpose energy efficient protocol which is based on LEACH.