Modified Optimization for Efficient Cluster-based Routing Protocol in Wireless Sensor Network

Wireless Sensor Networks (WSN) comprise numerous sensor nodes for monitoring specific areas. Great deals of efforts have been achieved to obtain effective routing approaches using clustering methods. Clustering is considered an way provide a better route transmitting the data, but cluster head selection and generation as complicated task. To manage such complex issues enhance network lifetime energy consumption, energy-effective cluster-based approach proposed. As major intention this paper select optimal head, proposes modified golden eagle optimization (M-GEO) algorithm figure out most significant issue choosing in every cluster. The M-GEO selects among all sensors by employing diverse factors namely residual energy, node degree, distance nearby sensors, centrality well between sink node. Additionally, yellow saddle goatfish (YSG) employed generatingan path from base station. Also, YSG detectsthe shortest thereby minimizing consumption. Then later, performance analyses various parameters are performed evaluate proposed approach.