@inproceedings{6f5e306bf6d144a49414b9d7d2e4d32e,
title = "Mobile air pollution monitoring network",
abstract = "Current methods of estimating air quality involve assigning a single value called the Air Quality Index (AQI) to a large land area for a 24-hour period based on a very few, sparsely-located sensors. This produces a low-resolution image of the air quality in that region. We have devised a new mobile air quality monitoring network with the ability to provide high-resolution realtime pollution data at any location within the coverage area. We have prototyped sensors and proven the feasibility of the approach, and are currently testing a small-scale implementation using irregularly-sampled spatiotemporal measurements from mobile car-mounted sensors coupled with existing static data. This data feeds a web-based application, enabling users to view air quality in specific regions as well as estimate exposure over specified time periods and plan routes based on minimal exposure to a given pollutant.",
keywords = "mobile sensing, modeling, pollution, wireless sensor network",
author = "W. Hedgecock and P. V{\"o}lgyesi and A. Ledeczi and X. Koutsoukos and A. Aldroubi and A. Szalay and A. Terzis",
year = "2010",
doi = "10.1145/1774088.1774253",
language = "English (US)",
isbn = "9781605586380",
series = "Proceedings of the ACM Symposium on Applied Computing",
pages = "795--796",
booktitle = "APPLIED COMPUTING 2010 - The 25th Annual ACM Symposium on Applied Computing",
note = "25th Annual ACM Symposium on Applied Computing, SAC 2010 ; Conference date: 22-03-2010 Through 26-03-2010",
}