Target Tracking in Wireless Sensor Network

Abstract

Wireless Sensor Networks (WSNs) consist of small nodes with sensing, computation, and wireless communications capabilities. In this paper target tracking using dynamic clustering technique has been presented. The dynamic clustering mechanism proposed performs the clustering along the route of the target movement with minimum numbers of sensor nodes to track the target object. The sensors detecting the object need to transmit the sensing data and identification. Sensors forming clusters are termed as core sensors. Within each cluster, the core sensors are selected based on the estimated signal strength since the nodes closer to the targets having larger measurements have a higher probability of becoming core sensors. The core sensors are used to compute the location of a target based on the locations of the neighbouring nodes. These core sensors send this information to the corresponding Cluster Head (CH), using which the target localization is processed. The position of moving object is detected by object moving algorithm. The location is sent to sink from CH node. Target tracking is used in traffic tracking and vehicle tracking.
DOI: 10.17762/ijritcc2321-8169.160477