A virtual forces based target detection enhancing approach for video sensor networks

The region coverage is an important affecting factor of target detection performance in wireless video sensor networks (WVSN). However, the traditional region coverage can not estimate the target detection performance properly, so the concept of effective coverage is introduced in this paper, which can be considered as the equivalent of target detection performance. Moreover, we propose an effective coverage-enhancing approach for video sensor networks based on virtual forces and the directional sensing model. This approach provides a unified modeling of both sensor node and special area, and defines different states of sensor nodes, including free and restraint state. On this basis, the state switch mechanism and self-adaptive adjusting algorithm in the corresponding models are presented to achieve the target detection performance enhancing indirectly. Simulation results are also presented to demonstrate the performance of these algorithms.