DocumentCode :
71784
Title :
SnowFort: An Open Source Wireless Sensor Network for Data Analytics in Infrastructure and Environmental Monitoring
Author :
Yizheng Liao ; Mollineaux, Mark ; Hsu, Robert ; Bartlett, Roger ; Singla, Anubhav ; Raja, Adnan ; Bajwa, Ravneet ; Rajagopal, Ram
Author_Institution :
Dept. of Civil & Environ. Eng., Stanford Univ., Stanford, CA, USA
Volume :
14
Issue :
12
fYear :
2014
fDate :
Dec. 2014
Firstpage :
4253
Lastpage :
4263
Abstract :
SnowFort, an open source wireless sensor network (WSN) for data analytics, is proposed for monitoring infrastructure and environment. The wireless sensing unit is optimized to be low power for extremely long-term deployments. Several features, such as data compression and online reconfiguration, are introduced to further reduce power consumption. A low-power WSN over optimized time division multiple access scheme is designed to be scalable and reliable for a network with hundreds of sensors. Real-time data visualization and analytical tools are provided with a representational state transfer (RESTful) application programming interface. We utilize SnowFort to develop a real-time damage detection application in structural health monitoring. We develop a distributed algorithm robust to data loss and validate it in a laboratory setup.
Keywords :
condition monitoring; data analysis; data compression; data visualisation; environmental monitoring (geophysics); low-power electronics; real-time systems; structural engineering; wireless sensor networks; RESTful application programming interface; SnowFort; data analytics; data compression; environmental monitoring; infrastructure monitoring; low-power wireless sensor network; online reconfiguration; open source wireless sensor network; power consumption; real-time damage detection application; real-time data visualization; representational state transfer; structural health monitoring; time division multiple access scheme; Base stations; Data visualization; Monitoring; Real-time systems; Sensors; Wireless communication; Wireless sensor networks; Sensor system integration; data analytics; sensing platform; structural health monitoring; wireless sensor networks;
fLanguage :
English
Journal_Title :
Sensors Journal, IEEE
Publisher :
ieee
ISSN :
1530-437X
Type :
jour
DOI :
10.1109/JSEN.2014.2358253
Filename :
6899645
Link To Document :
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