A Novel Spatial Correlation-Based Clustering Protocol in Wireless Sensor Network

Wireless sensor networks are mainly characterized by dense deployment of sensor nodes which collectively transmit information about sensed events to the sink. Due to the high density of nodes, spatially redundant data is generated. In this paper, a novel spatial correlation-based clustering protocol (SCCP) is proposed to exploit the spatial correlation. Our protocol can select representative nodes and cluster-heads at the same time by competitive mechanism. Both the representative nodes and cluster-heads are nearly uniform distributed. Simulation results show that the new protocol can improve the system lifetime and the throughout of the network under a given distortion constraint.