Underground structure monitoring with wireless sensor networks

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Underground structure monitoring with wireless sensor networks
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. A prototype is deployed with 27 Mica2 motes. We present our implementation experiences as well as the experimental results. To better evaluate the scalability and reliability of SASA, we also conduct a largescale trace-driven simulation based on real data collected from the experiments. Categories and Subject Descriptors C.2.1 [Computer Communication Networks]: Network Architecture and Design – Distributed networks; Wireless communication. General Terms: Algorithms, Design, Measurement Keywords Wireless Sensor Networks, Structure Monitoring, Underground, Coal Mine
Mo Li, Yunhao Liu
Added 08 Jun 2010
Updated 08 Jun 2010
Type Conference
Year 2007
Where IPSN
Authors Mo Li, Yunhao Liu
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