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.