Mobility Prediction Algorithm with Differential Accuracy Requirements in Target Tracking Sensor Network

In object tracking wireless sensor networks, communication overheads affect the accuracy of tracking localization seriously. Existing seminar works suffer from lacking of adaptively on various accuracy requirements, which lead to large amount of network traffic. In this paper, we propose a coordination mechanism based on joint mobility prediction method between sink node and sensor node, as to meet different level of accuracy requirements. A optimize model is made according to the analysis on vehicular mobility. Employing the trace generate base on kinematic model and the data collected in real deployment with a commercial simulation platform Qualnet, we set up a simulation environment in evaluating our protocol. Simulation results show that, the proposed algorithm can effectively improve network efficiency and successfully meet different level of accuracy requirements.