DocumentCode
2307428
Title
Street CORNERS: Real-Time Contextual Representation of Sensor Network Data for Environmental Trend Identification
Author
Morreale, Patricia ; Qi, Feng ; Croft, Paul ; Chang, George ; Czarnik, Justin ; Doell, Nick ; Espin, Jhon ; Suleski, Ryan
Author_Institution
Dept. of Comput. Sci., Kean Univ., Union, NJ
fYear
2009
fDate
26-29 May 2009
Firstpage
407
Lastpage
412
Abstract
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.
Keywords
remote sensing; wireless sensor networks; air quality; data gathering; environmental trend identification; real-time contextual representation; street CORNERS; urban flash floods; wireless sensor network; Application software; Biomedical monitoring; Crisis management; Degradation; Environmental management; Floods; Green products; Hazards; Personnel; Wireless sensor networks; application design; wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Information Networking and Applications Workshops, 2009. WAINA '09. International Conference on
Conference_Location
Bradford
Print_ISBN
978-1-4244-3999-7
Electronic_ISBN
978-0-7695-3639-2
Type
conf
DOI
10.1109/WAINA.2009.67
Filename
5136682
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