Power Optimization Algorithm for Heterogeneous WSN using Multiple Attributes

Wireless sensor network (WSN) is one of the most emerging areas in research due to widely used applications. WSN can be deployed in remote areas to sense the information. This lead to the impossibility of replacement and recharging of battery. So for maximum collection of information, we need to use the deployed WSN in very efficient way. Clustering is one method to enhance the lifetime of network by reducing the energy consumption during data collection process. In the proposed approach, we have suggested an approach for clustering based on four attributes: cluster head coverage, cluster head lifetime, average distance to CH and maximum power of nodes. The coordination among these attributes selects the optimal Cluster Heads (CHs) so that minimum energy would be consumed during data collection process. The results verifies the superiority of proposed algorithm over base algorithm and LEACH algorithm.