Energy-Efficient Distributed Clustering Algorithm for WSNs in Smart Grid

Abstract

For the problems of uneven clustering, unreasonable selection of cluster heads and excessive energy consumption in wireless sensor networks for smart grid, an energy efficient clustering algorithm for wireless sensor networks in smart grid (EECSG) is proposed. The algorithm first calculates the optimal number of cluster heads, and then uses k-means algorithm to evenly divide the whole network based on the optimal number of cluster heads. In the selection of cluster head, residual node energy and distance influence factor are introduced to comprehensively select, and finally the data is transmitted stably. The simulation results show that EECSG can dynamically determine the cluster head through the introduction of cluster head selection factor, which reduces the energy loss during data communication in the network and improves the overall life of the wireless sensor network.