Face-Based Mobile Target Tracking Technique in Wireless Sensor Network

A prediction-based method is presented to track mobile object and its location in a sensor network area. In recent years, energy consumption and high accuracy target tracking have been a challenge in wireless sensor network. A number of applications have been used to reduce energy depletion by involving only a few number of sensor nodes to contribute in communication, sensing for target tracking, and transaction. In this study, the Face-based Target Tracking Technique (FTTT) is used to minimise energy depletion to extend the lifetime of sensor node as well as to track object accurately. FTTT combines prediction algorithm with face routing, which can produce accurate detection. At the beginning, sensor node in the border detects the object and elects Triangular sensor Nodes (TN) in the face structure which are the nearest to the object. The process is then continued with TNs tracking the Moving Object (MO) and predicting its next position by face routing structure. The next set of face-based structures will activate TN and offer continuous tracking of the MO. The simulation of the proposed technique are evaluated against the existing approach in terms of object tracking, object detection, speed monitoring as well as energy consumption. The results of FTTT show high accuracy of object detection with less energy consumption.