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Underground Structure Monitoring with Wireless Sensor Networks

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2 Author(s)
Mo Li ; Hong Kong Univ. of Sci. & Technol., Kowloon ; Yunhao Liu

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 large-scale trace-driven simulation based on real data collected from the experiments.

Published in:

Information Processing in Sensor Networks, 2007. IPSN 2007. 6th International Symposium on

Date of Conference:

25-27 April 2007