Monitoring volcanic eruptions with a wireless sensor network

By Geoffrey Werner-Allen, Jeff Johnson, M. Ruiz, Jonathan M. Lees, Matt Welsh. Proceeedings of the Second European Workshop on Wireless Sensor Networks, 2005., 2005

611 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/7e1f8815720d108ab6ea3d94ff595c4a5c90e3a2

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In Artificial Intelligence

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Citations in the corpus

Health Monitoring of Civil Infrastructures Using Wireless Sensor Networks (2007, background): “Health monitoring of mechanical machines [16], condition-based monitoring, volcano monitoring [25], earthquake monitoring [11], and structural health monitoring [21] belong to this class, which generally require high fidelity sampling.”
Flask (2008, methodology): “One of the authors has worked closely with vulcanologists to deploy sensor networks that collected real-world seismic data at Reventador (Werner-Allen et al. 2006) and Volc´an Tungurahua (Werner-Allen et al. 2005a), both active volcanoes in Ecuador.”
Wireless sensor networks: applications and challenges of ubiquitous sensing (2005, methodology): “A network of Berkeley motes monitored infrasonic signals during eruptions, and data were transmitted over a 9 km wireless link to a base station at the volcano observatory [ B10 ].”
ALARM-NET: Wireless Sensor Networks for Assisted-Living and Residential Monitoring (2006, methodology): “We show the correctness, robustness, and extensibility of the system architecture through a scenario-based evaluation of the integrated ALARM-NET system, as well as performance data for individual software components.”
Environmental Sensor Networks: A revolution in the earth system science? (2006, methodology): “The Volcán Tungurahua project (Werner-Allen et al., 2005) used a wireless ESN to monitor volcanic activity by specially-constructed microphones to monitor infrasonic (low-frequency acoustic) signals emanating from the volcanic vent during eruptions.”
Firefly-inspired sensor network synchronicity with realistic radio effects (2005, background): “Previous work on seismic analysis of structures [1], shooter localization [13], and volcanic monitoring [15] could use such a primitive and avoid the overhead of maintaining consensus on global time until absolutely necessary.”