Temporal correlation based data aggregation scheme in wireless sensor networks
Guorui Li, Ying Wang · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2013
In many environmental monitoring applications, since the data periodically sensed by wireless sensor nodes usually are of high temporal redundancy, prediction based data aggregation is an important approach for reducing data communication and saving sensor nodes’ energy. We proposed a temporal correlation based data aggregation scheme in this paper which utilizes time series model to predict the data of next several periods at both ordinary sensors and aggregators based on the same amount of recent sensed values. We show through experiments that our proposed scheme can provide considerable aggregation ratio while maintaining a low prediction error rate.