A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is
International Journal of Advanced Research in Computer Science and Software Engineering
WSN are collection of spatially distributed autonomous actuator devices called sensor nodes. Target tracking under surveillance is one of the main applications of WSN. We introduce an edge detection algorithm to generate each face further in such a way that the nodes can prepare ahead of the target's moving, which greatly helps tracking the target in a timely fashion and recovering from special cases, e.g., sensor fault, loss of tracking, Also, we develop an optimal selection algorithm todoi:10.23956/ijarcsse/v7i3/0157 fatcat:tknrjjd4nrfw5elfgehsno33om