Affiliation:
1. Hong Kong University of Science and Technology, Hong Kong
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.
Funder
Research Grants Council, University Grants Committee, Hong Kong
Ministry of Science and Technology of the People's Republic of China
Publisher
Association for Computing Machinery (ACM)
Subject
Computer Networks and Communications
Cited by
244 articles.
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