街角:用于环境趋势识别的传感器网络数据的实时上下文表示

Patricia Morreale, F. Qi, P. Croft, George Chang, Justin Czarnik, Nick Doell, Jhon Espin, Ryan Suleski
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引用次数: 1

摘要

传感器网络已经部署在一系列农村和环境应用中。由于可以获得的数据的数量和范围广受好评,能够使用所收集数据的无线传感器网络应用尚未充分实现,特别是在城市环境中。街角是一个无线传感器网络应用程序,它支持从城市环境中收集的数据的上下文表示。街角应用程序提供实时数据显示,并为预测算法提供支持,适用于预测、检测和保护城市社区,以及其他环境威胁,如空气质量下降和城市山洪暴发。《街角》分为两部分。概述了网络设计和部署,然后讨论了网络应用程序的设计,其中涉及数据预处理和为趋势识别而收集的数据的上下文表示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Street CORNERS: Real-Time Contextual Representation of Sensor Network Data for Environmental Trend Identification
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.
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