Detecting the Movements of a Target Using Polygon Tracking in Wireless Device Networks

Target pursuit is one in all the key applications of wireless device networks (WSNs). Existing work largely needs organizing teams of device nodes with measurements of a target's movements or correct distance measurements from the nodes to the target, and predicting those movements. These are, however, typically tough to accurately accomplish in follow, particularly within the case of unpredictable environments, device faults, etc. during this paper, we have a tendency to propose a brand new pursuit framework, referred to as Face Track, that employs the nodes of a special region encompassing a target, referred to as a face. rather than predicting the target location singly in an exceedingly face, we have a tendency to estimate the target's moving toward another face. we have a tendency to introduce a foothold detection algorithmic rule to come up with every face more in such how that the nodes will prepare previous the target's moving, that greatly helps pursuit the target in an exceedingly timely fashion and convalescent from special cases, e.g., device fault, loss of pursuit. Also, we have a tendency to develop associate optimum choice algorithmic rule to pick that sensors of faces to question and to forward the pursuit information. Simulation results, compared with existing work, show that Face Track achieves higher pursuit accuracy and energy potency.