When the sensors are deployed without any strategy in the target area, it increases the detection of redundant data which thereby increases the processing load at the base station or the cluster heads. The redundant data does detected presents a challenge for real time sensor Applications which needs solutions. In order to reduce the redundant data, the overlap in the sensing area has to be minimized. In this paper a brute force and randomized algorithm are suggested as the possible solution to reduce excess overlaps. Implementation results have shown that randomized algorithm provides optimal solution. © Research India Publications.
S. Anne and Radhika, N., “Strategy for overlap minimization in sensing area”, International Journal of Applied Engineering Research, vol. 10, pp. 29405-29416, 2015.