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Underground structure monitoring with wireless sensor networks

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Published:25 April 2007Publication History

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. 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.

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            cover image ACM Conferences
            IPSN '07: Proceedings of the 6th international conference on Information processing in sensor networks
            April 2007
            592 pages
            ISBN:9781595936387
            DOI:10.1145/1236360

            Copyright © 2007 ACM

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            Publication History

            • Published: 25 April 2007

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            Overall Acceptance Rate143of593submissions,24%

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