A New Localization and Tracking Algorithm for Wireless Sensor Networks Based on Internet of Things

To improve the racking accuracy for wireless sensor networks and solve the problem of network overhead, reduce the energy consumption of nodes, analyzed existing localization and tracking algorithms, ensure that one of the core technology for wireless sensor network performance. In this paper, based on the existing localization and tracking mechanisms, the sensor node localization and target tracking application technology in WSN were analyzed from the views of improving precision, prolonging the network life based on the Rang-free theory, coordination theory, particle filter and other computing methods. Combining sensor activation algorithm and dynamic clustering algorithm, a parallel extended particle filter algorithm was proposed for target tracking. Considering Internet of Things target tracking, specific regions of applications such as intrusion detection, a localization and tracking prototype system based on WSN was built. For the localization problem in WSN, the localization algorithm based on mobile beacon was designed and implemented. And combined with target tracking collaborative algorithm, construct a prototype system for target tracking, which can lay the foundation for further application of localization and tracking technology in WSN. Copyright © 2013 IFSA.