Coverage estimation in heterogenous floorplan visual sensor networks

The issue of Coverage in visual sensor networks (VSNs) has attracted considerable attention due to sensors directional sensing characteristic. It answers the question that how well the target field is monitored by a network of sensors with video/image capturing capability. In floorplan scenario the network is to monitor a plane parallel to the sensors' deployment plane. For large scale applications in which the sensors' deployment is done by dropping sensors, random sensors' placement and orientation according to their respective distribution is a practical assumption. Although some studies exist on the coverage problem of floorplan VSNs, none of them has derived an analytical expression for stochastic coverage based on both the sensors and the network related parameters, which is the main contribution of this paper. We consider the heterogeneous sensing model, where sensors need not have an identical sensing capability. The proposed mathematical frame work is validated by simulation results.