Reduced energy consumption and extended lifetime are basic requirements of Wireless Sensor network with distributed nature and dynamic topological changes. The motes are arranged in clusters and only one mote is chosen as cluster head to synchronize and data routing. The proposed work introduces an innovative approach of choosing cluster head in artificially intelligent wireless sensor network. In the proposed work the residual energy consumption plays the major role in choosing the cluster head and the Radial basis function based network model is used. The performance of the proposed algorithm is evaluated based on several factors such as dead nodes, energy consumption, cluster head formation, number of packets transferred to base station and cluster head. The performance of the proposed algorithm is compared with existing protocols such as LEACH and LEACH-C.
Cite this article:
A. Narmada, P. Sudhakara Rao. Choosing Cluster Head in Artificially Intelligent Wireless Sensor Network. Research J. Engineering and Tech. 2018;9(4): 335-342. doi: 10.5958/2321-581X.2018.00046.6