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Deploying a wireless sensor network on an active volcano (2006)
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| Venue: | IEEE Internet Computing |
| Citations: | 251 - 4 self |
BibTeX
@INPROCEEDINGS{Lorincz06deployinga,
author = {Konrad Lorincz and Matt Welsh and Omar Marcillo and Jeff Johnson and Mario Ruiz and Jonathan Lees},
title = {Deploying a wireless sensor network on an active volcano},
booktitle = {IEEE Internet Computing},
year = {2006},
pages = {18--25}
}
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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
Keyphrases
wireless sensor network active volcano scientific study computer scientist sensor network high data rate numerous resource-limited node wireless sensor node low-bandwidth wireless radio north carolina harvard university power-hungry data collection equipment domain scientist triggered event detection wireless sensor network node reliable data retrieval traditional instrumentation data-quality demand new hampshire high data fidelity data acquisition geophysical study volcanic activity volcanic data collection relies intense research scientific community volcanic study past year author sensor-network application
