Journal Title : International Journal of Modern Trends in Engineering and Science
Volume 03 Issue 07 2016
ISSN no: 2348-3121
Page no: 100-103
Abstract – Target tracking is one of the key applications of WSNs. Offered works mostly requires organizing group of sensor nodes with measurements of a target’s actions or exact distance measurements from the nodes to the target, and predict those movements. These are, nevertheless, often difficult to correctly achieve in practice, particularly in the case of unpredictable environments, sensor faults, etc. In this thesis, we suggest a new tracking framework, called Face track, which employ the nodes of a spatial region nearby a target, called a face. As an alternative of predicting the target location individually in a face, we calculate approximately the target’s moving in the direction of another face. We launch an Edge Detection Algorithm to generate each face further in such a way that the nodes can set up in front of the target’s moving, which significantly helps tracking the target in a suitable fashion and getting better from special cases, example, Sensor Fault, Loss of Tracking. Moreover, we extend an Optimal Selection Algorithm to choose which sensors of faces to doubt and to advance the tracking data. When compared with presented work, it gives that Face track achieves improved tracking exactness and energy effectiveness. We moreover confirm its effectiveness by means of a Proof-Of-Concept system of the Mat-lab communication.
Keywords— WSN, Target Tracking, Edge Detection, Face Tracking, Brink recognition structure, Sensor Selection, mobile target
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