Deploying a wireless sensor network on an active volcano

Deploying a wireless sensor network on an active volcano (2006)

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by Konrad Lorincz , Matt Welsh , Omar Marcillo , Jeff Johnson , Mario Ruiz , Jonathan Lees

Venue:	IEEE Internet Computing
Citations:	101 - 3 self

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Datum	Value	Source
TITLE	Deploying a wireless sensor network on an active volcano	INFERENCE
AUTHOR NAME	Konrad Lorincz	SVM HeaderParse 0.2
AUTHOR AFFIL	Harvard University	SVM HeaderParse 0.2
AUTHOR NAME	Matt Welsh	SVM HeaderParse 0.2
AUTHOR AFFIL	Harvard University	SVM HeaderParse 0.2
AUTHOR NAME	Omar Marcillo	SVM HeaderParse 0.2
AUTHOR AFFIL	University of New Hampshire	SVM HeaderParse 0.2
AUTHOR NAME	Jeff Johnson	SVM HeaderParse 0.2
AUTHOR AFFIL	University of New Hampshire	SVM HeaderParse 0.2
AUTHOR NAME	Mario Ruiz	SVM HeaderParse 0.2
AUTHOR AFFIL	University of North Carolina	SVM HeaderParse 0.2
AUTHOR NAME	Jonathan Lees	SVM HeaderParse 0.2
AUTHOR AFFIL	University of North Carolina	SVM HeaderParse 0.2
ABSTRACT	Augmenting heavy and power-hungry data collection equipment with lighter, smaller wireless sensor network nodes leads to faster,larger deployments. Arrays comprising dozens of wireless sensor nodes are now possible,allowing scientific studies that aren’t feasible with traditional instrumentation. Designing sensor networks to support volcanic studies requires addressing the high data rates and high data fidelity these studies demand. The authors ’ sensor-network application for volcanic data collection relies on triggered event detection and reliable data retrieval to meet bandwidth and data-quality demands. Wireless sensor networks — in which numerous resource-limited nodes are linked via low-bandwidth wireless radios — have been the focus of intense research during the past few years. Since their conception, they’ve excited a range of scientific communities because of their potential to facilitate data acquisition and scientific studies. Collaborations between computer scientists and other domain scientists have produced networks that can record data at a scale and resolution not previously possible. Taking this progress one step further, wireless sensor networks can potentially advance the pursuit of geophysical studies of volcanic activity. Two years ago, our team of computer scientists at Harvard University began collaborating with volcanologists at the University of North Carolina, the University of New Hampshire, and the Instituto	SVM HeaderParse 0.2
YEAR	2006	SVM HeaderParse 0.2
VENUE	IEEE Internet Computing	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	18--25	INFERENCE
VOLUME	10	INFERENCE
CITATIONS	7 found	ParsCit 1.0