Geography-aware fume diffusion spotting in sensor networks

A series of environmental disasters have aroused people's attention to the issue of diffusing-event monitoring through sensor networks. In this paper, a geography-aware fume-diffusion-spotting sensor network is investigated based on the hull theory, giving inspiration for a suite of similar diffusion-monitoring applications. In our approach, the energy consumption and the event coverage rate are tested, with the results showing notable advantage compared to the conventional random method. The experiments also indicate that the density of the network has little influence on the performance of our approach, inferring that our approach can be extended to meet the needs of network deployment in various real-world conditions.