Street CORNERS: Real-Time Contextual Representation of Sensor Network Data for Environmental Trend Identification
2013 27th International Conference on Advanced Information Networking and Applications Workshops (2009)
Bradford, United Kingdom
May 26, 2009 to May 29, 2009
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/WAINA.2009.67
Sensor networks have been deployed for a range of rural and environmental applications. Well-regarded for the volume and range of data which can be obtained, wireless sensor network applications capable of using the data gathered have not been fully realized, particularly in urban settings. Street CORNERS is a wireless sensor network application which supports the contextual presentation of data gathered from an urban setting. The Street CORNERS application offers real-time data display, and provides support for predictive algorithms suitable for anticipating, detecting, and defending urban communities, among others, from environmental threats such as declining air quality and urban flash floods. Street CORNERS is presented in two parts. The network design and deployment is outlined, followed by a discussion of the design of the network application, which is involved in data pre-processing and the contextual presentation of the data gathered for trend identification.
wireless sensor networks, application design
Feng Qi, Jhon Espin, Ryan Suleski, Patricia Morreale, George Chang, Nick Doell, Paul Croft, Justin Czarnik, "Street CORNERS: Real-Time Contextual Representation of Sensor Network Data for Environmental Trend Identification", 2013 27th International Conference on Advanced Information Networking and Applications Workshops, vol. 00, no. , pp. 407-412, 2009, doi:10.1109/WAINA.2009.67