Sensor Deployment Algorithms for Probability Detections Based on Local Field

This paper use grid to describe sense field of sensor networks, use the theory of probability to describe the imprecise detection coverage for sensors to sense information of target node. It constructs a framework of resource management for sensor networks. We design the sensor deployment algorithms with static sensor nodes by greedy heuristic strategy and different optimization objects. We present several deployment algorithms for local sense field of sensor networks. Our aim is using fewer sensors to get better information collection effect. We discuss the deployment of sensor nodes, the optimization of deployment structure and capability of every algorithm.