A Vehicle Sensor Network for Real-Time Air Pollution Analysis
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Published:2023
Issue:
Volume:
Page:
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ISSN:1798-2340
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Container-title:Journal of Advances in Information Technology
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language:
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Short-container-title:JAIT
Author:
Zherka Bleron,Tafa Zhilbert
Abstract
Air Pollution (AP) is one of the main threats to global health. Real-time dynamic mapping of pollution distribution is of a crucial importance to the AP reduction and management. Conventional air quality monitoring relies on expensive and cumbersome monitoring stations. Such stations are sparsely deployed over a region – typically one to a few per city. The extrapolation of the dynamic spatiotemporal data away from these stations might be inaccurate. In this paper, we present a participatory Vehicle Sensor Network (VSN) based on low-cost mobile nodes deployed on public (taxi) vehicles. The system enables continuous real-time data acquisition, transmission, and utilization. As compared to the conventional approaches, our system greatly improves sensing coverage. The proposed platform enables the acquisition of a large amount of georeferenced and time-stamped data. It provides real time pollution mapping and historical data view. The system’s operational stability and continuity are examined and confirmed through the analysis of background data collected during 15 days of experimental implementation.
Publisher
Engineering and Technology Publishing
Subject
Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Information Systems,Software
Cited by
1 articles.
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1. On Optimizing MEC Enabled Monitoring Systems;2023 19th International Asian School-Seminar on Optimization Problems of Complex Systems (OPCS);2023-08-14