Dynamic Cluster Head Selection based on Genetic Algorithm using Routing Approaches in WSN
Abstract
Wireless sensor networks (WSNs) are composed of number of sensor nodes in order to detect and transmit Information from its surrounding environment. The sensor nodes have limited computation capability, limited power and small memory size. In these networks, sensor nodes are dependent on low power batteries to provide their energy. As energy is a challenging issue in these networks, clustering models are used to overcome this problem. Genetic algorithms are used to select the cluster heads of networks. We consider the Routing is primary parameter for improving the life time of network. We propose Advance Hybrid Multihop Routing Network (AHYMN) approaches for implementation process. Selection of Cluster Head is based on Energy level in sensor node. We implemented the HYMN approaches with Genetic algorithm for aggregation the data in sensor network.
Keywords
Genetic Algorithm, Clustering, Wireless Sensor Network, AHYMN.