Issue No. 02 - February (2012 vol. 23)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TPDS.2011.170
Renjie Huang , Washington State University, Seattle
Wen-Zhan Song , Georgia State University, Atlanta
Mingsen Xu , Georgia State University, Atlanta
Nina Peterson , Lewis-Clark State College, Lewiston
Behrooz A. Shirazi , Washington State University, Pullman
Richard LaHusen , Cascades Volcano Observatory, US Geological Survey, Vancouver
This paper presents the design, deployment, and evaluation of a real-world sensor network system in an active volcano—Mount St. Helens. In volcano monitoring, the maintenance is extremely hard and system robustness is one of the biggest concerns. However, most system research to date has focused more on performance improvement and less on system robustness. In our system design, to address this challenge, automatic fault detection and recovery mechanisms were designed to autonomously roll the system back to the initial state if exceptions occur. To enable remote management, we designed a configurable sensing and flexible remote command and control mechanism with the support of a reliable dissemination protocol. To maximize data quality, we designed event detection algorithms to identify volcanic events and prioritize the data, and then deliver higher priority data with higher delivery ratio with an adaptive data transmission protocol. Also, a light-weight adaptive linear predictive compression algorithm and localized TDMA MAC protocol were designed to improve network throughput. With these techniques and other improvements on intelligence and robustness based on a previous trial deployment, we air-dropped 13 stations into the crater and around the flanks of Mount St. Helens in July 2009. During the deployment, the nodes autonomously discovered each other even in-the-sky and formed a smart mesh network for data delivery immediately. We conducted rigorous system evaluations and discovered many interesting findings on data quality, radio connectivity, network performance, as well as the influence of environmental factors.
Real-world sensor network, volcano monitoring, system design, field deployment, evaluation and findings.
W. Song, R. Huang, N. Peterson, M. Xu, R. LaHusen and B. A. Shirazi, "Real-World Sensor Network for Long-Term Volcano Monitoring: Design and Findings," in IEEE Transactions on Parallel & Distributed Systems, vol. 23, no. , pp. 321-329, 2011.