Spatial Correlation-Based MAC Protocol for Event-Driven Wireless Sensor Networks
W ireless sensor networks is highly spatial correlated . Recently 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 nod e s and develop a novel sp at ial correlation-based Medium Access Control ( MAC ) protocol for event-driven wireless sensor networks , referred as S C MAC. Based on a theoretical framework, S C MAC adopts priority node selection algorithm and collision avoidance mechanism so that transmission of redundant data is prevented when contending for the shared channel, while SCMAC prioritizes the transmission of route-thru packets. Simulation results show that our protocol achieves higher performance than CC-MAC in the aspect of energy consumption, transmission latency, packet delivery rate , packet drop rate and reconstruction distortion.