Research On The High Energy Efficient Target Tracking Methods In Wireless Sensor Networks

Research of wireless sensor networks (WSNs) and its application has become one of the hot research fields at home and abroad. A surveillance system, which tracks mobile targets, has become one of the most important application fields of the WSNs. When nodes operate in a duty cycling mode, tracking performance can be improved if the target motion can be predicted and nodes along the trajectory can be proactively awakened. However, this will negatively influence the energy efficiency and constrain the benefits of duty cycling. In this paper, we present a Kinematics-Probability based Prediction and Sleep Scheduling protocol (KPPSS) to improve energy efficiency of proactive wake up.In this paper, the main research contens involve as follows:(1) First the paper discusses the theory of collaborative tracking based on wireless sensor network (WSN), and respectively to the dual collaborative tracking and information driven collaborative tracking, and transmit tree collaborative tracking algorithm has carried on the detailed introduction; Then the paper majors in the process of target tracking forecast period used to work in the target prediction technology and node status related knowledge in detail, and research conducted laid the theoretical basis for the following work.(2) This paper aims to study the problem of single target tracking. We present a Kinematics-Probability based Prediction and Sleep Scheduling protocol (KPPSS) to improve energy efficiency of proactive wake up. We start with designing a target prediction method based on both kinematics and probability. Based on the prediction results, KPPSS then precisely selects the odes to awaken and reduces their active time, so as to enhance energy efficiency with limited tracking performance loss. We evaluated the efficiency of KPPSS with simulation-based experiments.(3) The simulation experimental results show that compared to MCTA algorithm, KPPSS improves energy efficiency by25-40percent, only at the expense of an increase of5-10percent on the detection delay.