Real-time gas cloud detection by data aggregation in networks of embedded sensors

Many applications must identify in real-time the physical position of gas clouds. This paper presents a gas cloud detection method based on grids of reconfigurable Neural Networks. Data aggregation at intermediate nodes is performed to reduce the amount of data communications. Experiments compare the performance of the proposed method and traditional, centralized approaches.