Reduced Cost Sensor Planning Mechanism For Extended Network Lifetime In Surveillance Sensor Networks

Abstract: In surveillance networks, sensor nodes are powered by batteries that have limited power. There have been different methods proposed in the literatures, for maximizing the network lifetime. A surveillance network is used to view the items and the network lifetime is expected to be present until the duration of the items in the location. In this research work the objective is to minimize the network cost which results in resulting extended network lifetime. For minimizing the network cost, the optimum number of sensor nodes is placed by which all the available targets will be monitored. Also the sensed data can be forwarded to a given base station. This research work projects that this problem is NP-hard and derive a lower bound on the minimum number of sensors required. Extended simulation has been conducted and the results show that the proposed work yields better solution.