Cloud model-based coverage for sensor networks

The sensing abilities of sensors are influenced by the uncertainty of environment and physical devices in real deployment, especially the randomness andfuzziness. It´s necessary to have practical considerations in the design stage to handle the uncertainty. Cloud theory provides a simple and effective way to carry out the randomness andfuzziness. Hence we propose a cloud model-based coverage for sensor networks, and analyze its properties for deterministic senor deployment The analysis and simulation results show that the proposed model has a good performance in solving coverage problem with uncertainty.