Fayos-Jordan, R.; Araiz-Chapa, R.; Felici-Castell, S.; Segura-Garcia, J.; Perez-Solano, J.J.; Alcaraz-Calero, J.M. ECO4RUPA: 5G-IoT Inclusive and Intelligent Routing Ecosystem with Low-Cost Air Quality Monitoring. Information2023, 14, 445.
Fayos-Jordan, R.; Araiz-Chapa, R.; Felici-Castell, S.; Segura-Garcia, J.; Perez-Solano, J.J.; Alcaraz-Calero, J.M. ECO4RUPA: 5G-IoT Inclusive and Intelligent Routing Ecosystem with Low-Cost Air Quality Monitoring. Information 2023, 14, 445.
Fayos-Jordan, R.; Araiz-Chapa, R.; Felici-Castell, S.; Segura-Garcia, J.; Perez-Solano, J.J.; Alcaraz-Calero, J.M. ECO4RUPA: 5G-IoT Inclusive and Intelligent Routing Ecosystem with Low-Cost Air Quality Monitoring. Information2023, 14, 445.
Fayos-Jordan, R.; Araiz-Chapa, R.; Felici-Castell, S.; Segura-Garcia, J.; Perez-Solano, J.J.; Alcaraz-Calero, J.M. ECO4RUPA: 5G-IoT Inclusive and Intelligent Routing Ecosystem with Low-Cost Air Quality Monitoring. Information 2023, 14, 445.
Abstract
The increase and diversity of low-cost Air Quality (AQ) sensors, as well as their flexibility and low power consumption, offers us the opportunity to integrate them into a broad AQ wireless sensor networks with the aim of enabling real-time monitoring and higher spatial sampling density of pollution in all parts of the cities. Considering that the vast majority of the population lives in these cities and the increase in respiratory/allergic problems in a large part of the population, it is of great interest to offer services and applications to improve their quality of life. In the ECO4RUPA project we focus on this kind of service, proposing an inclusive and intelligent routing ecosystem carried out by using a network of low-cost AQ sensors with the support of 5G communications along with official AQ monitoring stations, assisted with artificial intelligence to improve the AQ monitoring data and by spatial interpolation techniques to enhance its spatial resolution. The goal of this service is to calculate healthy walking and/or cycling routes according to the particular citizen’s profile and needs. We provide and analyse the results of the proposed route planner under different scenarios (different time tables, congestion road traffic and routes) and different user’s profiles, with special interest on citizens with asthma and pregnant women, since both require special needs. In summary, our approach can lead to an approximately average reduction in pollution exposure of 17.82%, while experiencing an approximately average increase in distance travelled of 9.8 %.
Keywords
air quality; low cost sensors; IoT network; WSN; deployment
Subject
Computer Science and Mathematics, Computer Networks and Communications
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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