HR: 16:50h
AN: SF44A-03 [Abstracts]
TI: Infrasonic Monitoring of Eruptions at Tungurahua Volcano, Ecuador using a Wireless Sensor
Network
AU: Werner-Allen, G
EM: werner@eecs.harvard.edu
AF: Division of Engineering and Applied Sciences,
Harvard University, 33 Oxford St., Cambridge, MA 02138
United States
AU: * Johnson, J
EM: jeff.johnson@unh.edu
AF: Department of Earth Sciences,
University of New Hampshire, James Hall, Durham, NH 03824
United States
AU: Ruiz, M
EM: mruiz@email.unc.edu
AF: Department of Geological Sciences,
UNC - Chapel Hill, Mitchell Hall, Chapel Hill, NC 27599
United States
AU: Lees, J M
EM: jonathan_lees@unc.edu
AF: Department of Geological Sciences,
UNC - Chapel Hill, Mitchell Hall, Chapel Hill, NC 27599
United States
AU: Welsh, M
EM: mdw@eecs.harvard.edu
AF: Division of Engineering and Applied Sciences,
Harvard University, 33 Oxford St., Cambridge, MA 02138
United States
AB:
Wireless sensor networks, consisting of small, low-power devices
integrating a modest amount of CPU, memory, and wireless communication,
could play an important role in volcanic monitoring applications. Wireless
sensor nodes have lower power requirements, are easier to deploy,
can can support a larger number of sensors distributed over a wider
area than wired arrays currently used in many campaign studies. Using
long-distance wireless links, data could be monitored in real time,
avoiding the need for manual data collection from remote stations.
We developed and deployed a wireless infrasonic sensor array at
Volc\'{a}n Tungurahua, Ecuador, in July 2004. This network consisted
of three wireless sensor nodes that digitized infrasonic signals,
transmitting data to a remote base station. The sensors are based on
the Mica2 mote platform, which integrates a 7.3 MHz Atmel Atmega128L
embedded controller with 4 KB of RAM and 128 KB of ROM. The Mica2 uses a
low-power, single-chip radio, the Chipcon CC1000, capable of transmitting
data at 22.5 kbps with an outdoor range of approximately 100 m. The node
measures 5.7 cm x 3.2 cm x 2.2 cm and is operated on 2 AA batteries,
with a lifetime of about 157 hours without duty-cycling the radio or CPU.
These nodes run a specialized operating system called TinyOS that is
specifically designed for wireless embedded devices.
Each sensor node sampled infrasonic signals continuously at 102 Hz,
transmitting data over a short-range radio link to a local aggregator
node. The aggregator relayed the data over a 9 km wireless link to a laptop
station at the volcano observatory, using a pair of spread-spectrum
FreeWave modems and 9 dBi Yagi antennas. Nodes were time-synchronized
using a separate GPS receiver that transmitted periodic timestamp
messages, allowing our data to be later correlated with signals acquired
at a nearby wired seismoacoustic sensor array. During the deployment,
we collected over 54 hours of continuous data which included at least
9 verified explosions.
In addition to continuous sampling, we have developed a distributed
event detector that automatically triggers data transmission when a
well-correlated signal is received by multiple nodes. This approach
greatly reduces radio bandwidth and energy consumption, and we plan
to deploy this new system as part of a larger wireless sensor array
in the near future.
UR: http://www.eecs.harvard.edu/~werner/projects/volcano/
DE: 8494 Instruments and techniques
DE: 7294 Instruments and techniques
SC: Special Focus: Advances in Data Acquisition, Management, Analysis and Display [SF]
MN: 2004 AGU Fall Meeting