Underground coal mine monitoring with wireless sensor networks
Mo Li,Yunhao Liu +1 more
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TLDR
The design of a Structure-Aware Self-Adaptive WSN system, SASA, is discussed, able to rapidly detect structure variations caused by underground collapses, and a sound and robust mechanism for efficiently handling queries under instable circumstances is developed.Abstract:
Environment monitoring in coal mines is an important application of wireless sensor networks (WSNs) that has commercial potential. We discuss the design of a Structure-Aware Self-Adaptive WSN system, SASA. By regulating the mesh sensor network deployment and formulating a collaborative mechanism based on a regular beacon strategy, SASA is able to rapidly detect structure variations caused by underground collapses. We further develop a sound and robust mechanism for efficiently handling queries under instable circumstances. A prototype is deployed with 27 mica2 motes in a real coal mine. We present our implementation experiences as well as the experimental results. To better evaluate the scalability and reliability of SASA, we also conduct a large-scale trace-driven simulation based on real data collected from the experiments.read more
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