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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 11 Issue 5, 2020.
Abstract: Urban air pollution has become a major concern for numerous densely populated cities globally since poor air quality may cause various health problems. The first crucial step towards solving this important problem is to identify the most critical areas with the highest air pollution over the allowed limit. Nowadays, air pollution is monitored by various stationary measurement systems that are expensive, large, consume a big amount of energy and gathered data has a low spatial resolution. This paper presents EnvioDev, a mobile air quality and traffic conditions measurement device for Vehicular Ad hoc Networks (VANETs) that can be used on any type of a vehicle. EnvioDev was tested in a real-world urban environment measuring CO, CH4 and LPG concentrations, as well as air temperature and humidity in order to create a city pollution map and the results are presented in the paper. Moreover, in order to determine how many EnvioDev devices are required to obtain close to a real-time air quality map of an urban area, three experiments with Simulation of Urban Mobility (SUMO) simulator were conducted. In the experiments an urban city map was divided into five zones and data aggregation frequencies are varied during different traffic load periods in order to study the number of required vehicles with EnvioDev measurement device. The obtained results show that by increasing the data aggregation frequency the number of required vehicles with EnvioDev measurement device increases and it is depended on the size and topology of the testing area.
Josip Balen, Srdan Ljepic, Kristijan Lenac and Sadko Mandzuka, “Air Quality Monitoring Device for Vehicular Ad Hoc Networks: EnvioDev” International Journal of Advanced Computer Science and Applications(IJACSA), 11(5), 2020. http://dx.doi.org/10.14569/IJACSA.2020.0110572
@article{Balen2020,
title = {Air Quality Monitoring Device for Vehicular Ad Hoc Networks: EnvioDev},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2020.0110572},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110572},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {5},
author = {Josip Balen and Srdan Ljepic and Kristijan Lenac and Sadko Mandzuka}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.