DSNs中基于虚拟力的节点部署与目标定位方案.

The effectiveness of cluster-based distributed sensor networks depends to a large extent on the coverage provided by the sensor deployment. Aiming at the disadvantages of the existing node deployment and target localization scheme, this paper proposed a virtual forced algorithm as a sensor deployment strategy to enhance the coverage after an initial random placement of sensors. For a given number of sensors, the proposed algorithm attempted to maximize the sensor field coverage by judicious combination of attractive’ and used repulsive forces to determine virtual motion paths and the rate of movement for the randomly-placed sensors. At the same time, it also proposed a novel probabilistic target localization algorithm that was executed by the cluster head. It used the localization results by the cluster head to query only a few sensors (out of those that report the pre-sence of a target) for more detailed information. The simulation results show that the proposed scheme performs a one-time computation and determines sensor locations at the same time for all the sensor nodes. In addition, the proposed probabilistic localization algorithm can significantly reduce the energy consumption for target detection and location. [ABSTRACT FROM AUTHOR]