new tracking framework by organizing nodes into a polygonal spatial neighborhood in order to detect
and track unauthorized traversals in surveillance wireless sensor networks. During a tracking, the neighborhood is further constructed ahead of the target traversal, and this features a timely forwarding with guaranteed delivery property. Instead of estimating future movement and position separately in a polygon, we ﬁnd an original target tracking path in a graph, and create a brink on the graph called
optimal sensor selection algorithm was developed to select which sensors to query, and dynamically guide the target information to a sink. Simulation results validated that the proposed approach has better tracking accuracy, reduced localization error, and is robust to strong environment noise, while using a minimum number of sensors.
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