An Energy Efficient MAC Protocol for Wireless Sensor Surveillance Networks

Data transmitted in large scale wireless sensor surveillance networks is highly spatial correlated resulting in transmission of redundant data, which increase the energy consumption. So it has been proposed to select a subset of sensors nodes to transmit their data so as to prevent transmission of redundant data. In this paper, we investigate the ways of selecting sensor nodes and develop a novel spatial correlation-based energy efficient MAC protocol, referred as SEMAC. SEMAC adopts priority node selection algorithm based on node´s signal strength and collision avoidance mechanism so that transmission of redundant data is prevented while prioritizes the transmission of route-thru packets. Simulation results show that our protocol achieves higher performance than CC-MAC in terms of energy consumption, transmission latency, packet delivery rate and reconstruction distortion.