A Novel Clustering Approach for Extending the Lifetime for Wireless Sensor Networks

A new energy efficient clustering algorithm based on the highest residual energy is proposed to improve the lifetime of wireless sensor network (WSN). In each cycle, a fixed number of cluster heads are selected based on maximum residual energy of the nodes. Each cluster head is associated with a group of nodes based on the minimum distance among them. In such scheduling, all the nodes dissipate uniform energy and subsequently remain alive for long time. The simulation results show that our proposed clustering approach is more effective in prolonging the network lifetime compared with the existing protocols such as Low-energy adaptive clustering hierarchy (LEACH) and Distributed hierarchical agglomerative clustering (DHAC).