object coverage with camera rotation in visual sensor networks
This paper is to study the object coverage problem in visual sensor networks. When sensors equipped camera with rotating capability in the monitoring environment are deployed randomly, the images of target object with circle shape may be captured by different camera nodes in different orientations at the same time. In order to achieve the full coverage of an object, there might be lots of redundant image data to consume the transmission energy in visual sensor networks. An approach is proposed to reduce the cover set of camera nodes by rotating cameras of sensors. Such a set can cover the entire object using as few sensors as possible. In addition, a mapping is proposed for find out the coverage problem for target objects with convex polygon shape. The simulation results show that our approach can reduce the number of sensors while preserving the maximum coverage range of object.
object coverage cameras visual sensor networks convex polygon angle of view