An Energy Efficient Spatio-Temporal Compression Clustering Data Collection Scheme for Wireless Sensor Networks

Energy efficiency is a critical issue in data gathering, which involves conserving sensor nodes energy and maximizing network lifetime. In this paper, we propose a distributed clustering scheme with spatio-temporal compressed sensing to organize the sensors into clusters. In the process of inter- cluster transmission, a energy-aware transmission method based on network coding is used to further balance the network load and energy. Simulation results show that, compared with the algorithms have been proposed, our scheme can minimize the total energy spent in the network, make the remaining energy of the node more balanced and extend the lifetime of the system.