Data collecting in wireless sensor networks using spatial models

How to collect data energy-efficiently from sensor nodes is an important research issue in wireless sensor networks. In this paper, spatial correlation of sensor data is exploited to address the problem of collecting data from sensor nodes. In our approach, a spatial model is maintained by a cluster head and a replica of the model is maintained the base station. The base station uses the replica model to estimate the actual measurement data of the sensor node in usual time, and an actual measurement datum is sent to the base station only when the error of the modelpsilas corresponding estimation exceeds allowable error bound. In such a way, energy can be saved by reducing the transmission of actual measurement data. Experimental results show the effectiveness of our approach.