Target tracking in face track with Kalman filter using wireless sensor network and development of courier management service in Face Track network

Abstract

Technology of wireless sensor communication has revolutionized our way of living motivated in development and improvement in the field of wireless sensor network. Among many applications target tracking application requires sensor nodes to be localized with minor error. To maintain the target tracking in timely fashion with accurate measurement of target movement is difficult as it summed up with many noises during the detection. Possibilities of node failure often come across in the tracking which results in loss of tracking. Thus to overcome difficulties of tracking new improved tracking framework called as Face (Polygons) Track is proposed. In Face Track sensors are deployed in polygonal fashion. Where polygon share common edge with non overlapping pattern these polygons are the faces and edges being reconstructed to generate each face further so as to avoid loss of tracking. In Face track with Kalman filter, KF optimally selects node as target moves ahead crossing the edges of the face. The Face track network is mapped to develop the courier management system. In this courier management, optimal node selection function selects the number of nodes between source and destination on basis of distance calculated between these node so as to refer nearest node.