IMPROVED THRESHOLD SENSITIVE STABLE ELECTION PROTOCOL IN HETEROGENEOUS WSN USING GENETIC ALGORITHM

Abstract

We present an approach for heterogeneous wireless sensor network of three types of nodes with different energy levels namely advance nodes, intermediate nodes and normal nodes.The WSN network is created using Genetic Algorithm.The energy efficiency can be improved by the proposed approach through Multiple Cluster Heads. The mobile sink node and mobile sensor nodes can directly reach cluster heads and collect data from it. Mobile sink reduces the 5 energy consumption arises due to routing of data to the static sink, Cluster Head or Base Station. Only sink moves to collects data from cluster head. The cluster head selection is based on highest residual energy. After aggregation of data, sink moves to collect data from cluster head directly whereas in static sink case, data is sent in multiple hops to sink from cluster head. Path of sink node is optimized to reach the cluster heads. Mobility of sink via shortest path reduces delay of data delivery. So with sink mobility scheme achieves energy optimization than without sink mobility.