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Activity Number: 54
Type: Topic Contributed
Date/Time: Sunday, August 3, 2008 : 4:00 PM to 5:50 PM
Sponsor: Section on Statistical Computing
Abstract - #302455
Title: Monitoring the Golden Gate Bridge Using Wireless Sensor Networks
Author(s): Guilherme V. Rocha*+
Companies: University of California, Berkeley
Address: 367 Evans Hall, Berkeley, CA, 94720,
Keywords:
Abstract:

A 51-node Wireless Sensor Network have been installed on the Golden Gate Bridge for Structural Health Monitoring. There is a mismatch between the rate at which the data are collected at each node (~4 Kbps, Kilo-bytes/second) and the rate at which they can be transmitted (~0.5 Kbps). The ultimate goal is to develop a data reduction scheme so the WSN can perform real time monitoring of the dynamic properties of the bridge. For the temperature data (~0.80 Kbps/sensor), lossless run length coding achieves a significant reduction in the data rate (~0.04 Kbps/sensor). For the acceleration data, our strategy is to construct a parametric model for the bridge and continuously adjust it as data become available. We report the results of such strategies for both simulated and actual data. Joint work with David Culler, James Demmel, Gregory Fenves, Sukum Kim, Shamim Pakzad, and Bin Yu.

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Revised September, 2008