Prediction-based object tracking algorithm with load balance for wireless sensor networks

Power efficiency is one of the major concerns of wireless sensor networks applications. Most existing power efficient routing algorithms for wireless sensor networks concentrates on finding efficient ways to forward data. Yet not much work has been done on collecting local data, tracking the detected objects, predicting the future motion, and then generating the data report. This paper presents the effect of object tracking prediction on power saving for wireless sensor networks. An object tracking prediction method, i.e., prediction-based object tracking algorithm with load balance (POTL) has been proposed to achieve significant power savings by reducing unnecessary transmission. Performance analysis, based on numerical analysis for one dimensional case, demonstrates that our scheme can dramatically reduce the power consumption and improve the lifetime of the overall network system.