Research challenges in environmental observation and forecasting systems
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Data Visualization within Urban Models
TPCG '04 Proceedings of the Theory and Practice of Computer Graphics 2004 (TPCG'04)
Correcting GPS readings from a tracked mobile sensor
LoCA'05 Proceedings of the First international conference on Location- and Context-Awareness
Localization in mobile ad hoc networks using cumulative route information
UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
A graph embedding method for wireless sensor networks localization
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Wireless sensor networks localization with isomap
ICC'09 Proceedings of the 2009 IEEE international conference on Communications
Collecting and visualizing wireless geosensor data using mobile devices
Proceedings of the 1st International Conference and Exhibition on Computing for Geospatial Research & Application
Personal and Ubiquitous Computing
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We present the results of a study of environmental carbon monoxide pollution that uses a set of tracked, mobile pollution sensors. The motivating concept is that we will be able to map pollution and other properties of the real world at a fine scale if we can deploy a large set of sensors with members of the general public who would carry them as they go about their normal everyday activities. To prove the viability of this concept we have to demonstrate that data gathered in an ad hoc manner is reliable enough in order to allow us to build interesting geo-temporal maps. We present a trial using a small number of global positioning system-tracked CO sensors. From analysis of raw GPS logs we find some well-known spatial and temporal properties of CO. Further, by processing the GPS logs we can find fine-grained variations in pollution readings such as when crossing roads. We then discuss the space of possibilities that may be enabled by tracking sensors around the urban environment—both in getting at personal experience of properties of the environment and in making summative maps to predict future conditions. Although we present a study of CO, the techniques will be applicable to other environmental properties such as radio signal strength, noise, temperature, humidity and so on.