Street CORNERS: Real-Time Contextual Representation of Sensor Network Data for Environmental Trend Identification

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.