Randomized Virtual Scanning Technique for Road Network

In this paper proposes a Randomized Virtual Scanning Technique to optimize the performance for the road network surveillance. The Sensor it may be scan the area of road network. The road network is show as a graph. So it may scan the area through genetic algorithm. The main focus is to improve the energy and performance of the sensor scanning process. The sensing programming rule plays a job for target intrusion detection, utilizing the distinctive options of road networks. Sensor it may be scan alternate and sequence node so that's why 100% target detection guaranty for w seconds (i. e single sensor takes time to scan the area) along road segments, creating waves of sensing activities, called randomized virtual scanning. Here they present a scan-based algorithm, which improves further energy efficiency or performance of surveillance in road networks.