A weighted spatial correlation based strategy to improve the event estimation in a Wireless Sensor Networks

Wireless Sensor Networks (WSN) are characterized of dense deployment of sensor nodes that collectively communicate event information to the sink. Due to high density in the network topology, sensor observations are highly correlated in the space domain. Furthermore, the nature of the physical phenomenon constitutes the temporal correlation between each consecutive observation of a sensor node. These spatial and temporal correlations along with the collaborative nature of the WSN bring significant potential advantages for the development of the efficient communication protocols well-suited for the WSN paradigm. In this paper a multi-zone approach applied to the area monitored by sensor nodes is proposed. It tries to weight the info sensed by sensor on the basis of the distortion area in order to better estimate at sink node the event. A math formulation of the problem and the proposal to weight the space and data info is led out and simulation campaigns in Matlab show the effectiveness of the event estimation.