A power optimised and reprogrammable system for smart wireless vibration monitoring
Name
A_power_optimised_and_re_programmable_system_for_smart_wireless_vibration_monitoring__Final_.pdf
Description
Accepted version
Size
10.62 MB
Format
Adobe PDF
Checksum (MD5)
3f2da82e978f205824bbea807d39e335
Author(s)
Long, James
Buyukozturk, Oral
Date Issued
November 2019
Journal
Structural Control and Health Monitoring
Publisher
Wiley
Citation
Long, James and Oral Büyüköztürk. "A power optimised and reprogrammable system for smart wireless vibration monitoring." Structural Control and Health Monitoring 27, 2 (February 2020): e2468 © 2019 John Wiley & Sons, Ltd
Version
Author's final manuscript
Abstract
Structural health monitoring (SHM) applications generally utilise high sampling rates, which low-power wireless protocols are not well equipped to handle. Smart sensing approaches can overcome this, by using the processing capability of the sensor nodes to reduce the volume of data prior to communication. Most smart sensing approaches are preprogrammed and static. This causes two issues: First, the data processing logic cannot be easily modified, making it difficult to update and improve algorithms once deployed. Secondly, there is limited ability to adapt to changes in the environment or degradation of hardware. To address these problems, we have developed a system that allows users to remotely specify their computational logic on the fly in a MapReduce style syntax. We model these user-specified tasks as a directed acyclic graph, and combine this model with statistics of the performance of each node in the network to formulate an optimisation problem. Solving this problem optimally allocates data processing operations to nodes in the network, such that the total time spent is minimised. We demonstrate a field deployment of this system, which illustrates the advantages of the proposed approach for a typical SHM application, and examines robustness of the system under environmental variations.
MIT Department
Massachusetts Institute of Technology. Department of Civil and Environmental Engineering
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1002/stc.2468
