Fidelity and yield in a volcano monitoring sensor network

By Geoffrey Werner-Allen, Konrad Lorincz, Jeff Johnson, Jonathan M. Lees, Matt Welsh. USENIX Symposium on Operating Systems Design and Implementation, 2006

772 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/7b310a9fbb3cd9b07a35c6208b297076823e20f1

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Citations in the corpus

Collection tree protocol (2009, methodology): “, on a volcano in Ecuador [36], we consider it a reasonable comparison.”
Canopy closure estimates with GreenOrbs: sustainable sensing in the forest (2009, background): “[21] present the science-centric evaluation of a WSN deployment at an active volcano in Ecuador.”
Flask (2008, methodology): “Our discussion is oriented around a simpliﬁed version of the earth-quake detection algorithm used by Werner-Allen et al. (2006).”
Coverage and connectivity issues in wireless sensor networks: A survey (2008, background): “For instance, a sensor network could be deployed in a remote island for monitoring wildlife habitat and animal behavior [42], or near the crater of a volcano to measure temperature, pressure, and seismic activities [3].”
Does Wireless Sensor Network Scale? A Measurement Study on GreenOrbs (2011, methodology): “We present findings from a large-scale operating sensor network system, GreenOrbs, with up to 330 nodes deployed in the forest.”
Efficient network flooding and time synchronization with Glossy (2011, background): “For instance, high-rate data collection systems synchronize nodes to correlate measurements, and use flooding to adjust sampling rates and trigger data downloads [33].”
Sensor faults: Detection methods and prevalence in real-world datasets (2010, methodology): “However, this approach cannot be used for fault detection in applications such as volcano monitoring [Werner-Allen et al. 2006] and monitoring of chlorophyll concentration in lake water [NAMOS 2006] where sensor data fusion functions are not easy to de.ne without consulting a domain expert;…”
Tiny web services: design and implementation of interoperable and evolvable sensor networks (2008, methodology): “Each node is programmed with a sensor data collection, event detection, or query processing capability and sends its data (sensor readings, events, query responses) to its user application using custom protocols and message formats [20, 27].”
CitySense: An Urban-Scale Wireless Sensor Network and Testbed (2008, background): “Recent developments include campus-wide and community-wide wireless mesh networks [12, 9, 14], in-depth studies of the dynamics of wireless networks in mobile and static settings [13, 18, 10], and real-world sensor network deployments in environments as diverse as forests [27, 4], active volcanoes [”
FarmBeats: An IoT Platform for Data-Driven Agriculture (2017, background): “Wireless Sensor Networks: Past work has used multihop networks [5, 19, 23, 26, 39, 45, 57, 60] to gather data from sensors in the farm.”
Ultra-low power time synchronization using passive radio receivers (2011, background): “[46], the desired timing accuracy was only 10 ms, which means our time signal receiver would have been sufficient.”
Radio link quality estimation in wireless sensor networks (2012, methodology): “For instance, antennas of up to 8.5 dBi were used in harsh environments by exploiting the on-board SMA connectors [Werner-Allen et al. 2006].”