Underground coal mine monitoring with wireless sensor networks
Top Cited Papers
- 1 March 2009
- journal article
- research article
- Published by Association for Computing Machinery (ACM) in ACM Transactions on Sensor Networks
- Vol. 5 (2) , 1-29
- https://doi.org/10.1145/1498915.1498916
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.Keywords
Funding Information
- Research Grants Council, University Grants Committee, Hong Kong (HKUST6169/07E)
- Ministry of Science and Technology of the People's Republic of China (2006CB303000, 2007AA01Z18060533110)
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