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Spatio-Temporal Aware Collaborative Mobile Sensing with Online Multi-Hop Calibration
Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing, Peoples R China.
Beijing Univ Posts & Telecommun, State Key Lab Networking & Switching Technol, Beijing, Peoples R China.
Uppsala University, Disciplinary Domain of Science and Technology, Mathematics and Computer Science, Department of Information Technology, Computer Systems.ORCID iD: 0000-0002-3454-8731
Uppsala Univ, Div Comp Syst, Dept Informat Technol, Uppsala, Sweden.
2018 (English)In: Proceedings of the 2018 the Nineteenth International Symposium on Mobile Ad Hoc Networking and Computing (MOBIHOC '18), Association for Computing Machinery (ACM), 2018, p. 310-311Conference paper, Published paper (Refereed)
Abstract [en]

Real-time accurate air quality data is very important for pollution exposure monitoring and urban planning. However, there are limited high-quality air quality monitoring stations (AQMS) in cities due to their high equipment costs. To provide real-time and accurate data covering large area, this paper proposes a novel scheme that jointly considers online multi-hop calibration and spatio-temporal coverage in route selection for mobile sensors. A novel sensor carrier selection problem (SCSP) is formulated, which aims to maximize the spatio-temporal coverage ratio and guarantee the accuracy of measurements through sensor calibration. An online Bayesian based collaborative calibration (OBCC) scheme is proposed to relax the multi-hop calibration constraint in the SCSP. Based on the OBCC, a multi-hop calibration judgment algorithm (MCJA) is proposed to decide whether the data accuracy of a given set of routes can be guaranteed through collaborative calibration. Furthermore, a heuristic sensor route selection algorithm (SRSA) is then developed to solve the SCSP.

Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2018. p. 310-311
Keywords [en]
collaborative mobile sensing, Bayesian estimation, multi-hop calibration, spatio-temporal coverage
National Category
Signal Processing Computer Sciences
Identifiers
URN: urn:nbn:se:uu:diva-390021DOI: 10.1145/3209582.3225202ISI: 000471038600036ISBN: 978-1-4503-5770-8 (electronic)OAI: oai:DiVA.org:uu-390021DiVA, id: diva2:1340182
Conference
19th ACM International Symposium on Mobile Ad-Hoc Networking and Computing (Mobihoc), Los Angeles, CA, June 26-29, 2018
Funder
Vinnova, 2015-00347Available from: 2019-08-02 Created: 2019-08-02 Last updated: 2019-08-02Bibliographically approved

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Ngai, Edith C-H

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