Optimized tracking and detection of target nodes in wireless sensor networks

A wireless sensor network (WSN) consists of spatially distributed autonomous sensors to monitor physical or environmental conditions and to pass all the collected data through the network to a main base station. Development of algorithms and prototype vehicles for wide-area surveillance and reconnaissance using mobile sensor networks (MWSN). in the case that the sensors are static, where to deploy or activate the nodes; and (ii)in the case that the sensors are mobile, how to plan the trajectory of the mobile sensors. These two cases are collectively termed as the coverage problem in wireless sensor networks. Coverage in a wireless sensor network can be thought of as how well the wireless sensor network is able to monitor a particular field of interest. In this paper the supervising of the entity in mobile sensor network is explained. The proposed system enlightens the approximation of the position of the nodes and that approximated positions are used to guess the location of the nodes. Once the entity is supervised, mobile sensor nodes concentrate in that entity. If the entity at a particular range cannot be determined then several static nodes are located for better coverage and to reduce the total travelled distance by the nodes. The approximation and the foreseeing of the nodes are done by space Theory and the location of the nodes by using ant colony optimization. The simulation results show the performance analysis of the mobile sensor nodes.