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