Smart City Gnosys
Smart city article details
| Title | Design Considerations For A Distributed Low-Cost Air Quality Sensing System For Urban Environments In Low-Resource Settings |
|---|---|
| ID_Doc | 18692 |
| Authors | Bainomugisha E.; Ssematimba J.; Okure D. |
| Year | 2023 |
| Published | Atmosphere, 14, 2 |
| DOI | http://dx.doi.org/10.3390/atmos14020354 |
| Abstract | With rapid urbanization, hazardous environmental exposures such as air, noise, plastic, soil and water pollution have emerged as a major threat to urban health. Recent studies show that 9 out of 10 people worldwide breathe contaminated air contributing to over 7 million premature deaths annually. Internet of Things (IoT) and Artificial Intelligence (AI)-based environmental sensing and modelling systems have potential for contributing low-cost and effective solutions by providing timely data and insights to inform mitigation and management actions. While low and middleincome countries are among those most affected by environmental health risks, the appropriateness and deployment of IoT and AI systems in low-resource settings is least understood. Motivated by this knowledge gap, this paper presents a design space for a custom environmental sensing and management system designed and developed to fill the data gaps in low-resource urban settings with a particular focus on African cities. The paper presents the AirQo system, which is the first instance of the design space requirements. The AirQo system includes: (1) autonomous AirQo sensors designed and customised to be deployed in resource constrained environments (2) a distributed sensor network that includes over 120 static and mobile nodes for air quality sensing (3) AirQo network manager tool for tracking and management of installation and maintenance of nodes, (4) AirQo platform that provides calibration, data access and analytics tools to support usage among policy makers and citizens. Case studies from African cities that are using the data and insights for education, awareness and policy are presented. The paper provides a template for designing and deploying a technology-driven solution for cities in low resource settings. © 2023 by the authors. |
| Author Keywords | AI for social good; Cyber-physical systems; distributed urban air quality system; environmental sensing; Internet of Things; low-cost sensors; smart city solutions |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
7194  | 0.903 | Choudhary V.; Teh J.H.; Beltran V.; Lim H.B. | Airq: A Smart Iot Platform For Air Quality Monitoring | 2020 IEEE 17th Annual Consumer Communications and Networking Conference, CCNC 2020 (2020) |
| 46496 | 0.897 | Kaginalkar A.; Kumar S.; Gargava P.; Niyogi D. | Review Of Urban Computing In Air Quality Management As Smart City Service: An Integrated Iot, Ai, And Cloud Technology Perspective | Urban Climate, 39 (2021) |
| 44296 | 0.897 | Aserkar A.A.; Godla S.R.; Baker El-Ebiary Y.A.; Krishnamoorthy; Ramesh J.V.N. | Real-Time Air Quality Monitoring In Smart Cities Using Iot-Enabled Advanced Optical Sensors | International Journal of Advanced Computer Science and Applications, 15, 4 (2024) |
| 31763 | 0.896 | Fameli K.-M.; Kladakis A.; Efthymiou C.; Charalampidou C.; Sotiropoulou M.; Antoniou I.-M.; Papadaki D.; Assimakopoulos M.-N.; Assimakopoulos V. | Insights From The Development Of An Innovative Air Quality Monitoring System | International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, 48, 4/W10-2024 (2024) |
| 33700 | 0.893 | Nandanwar H.; Chauhan A. | Iot Based Smart Environment Monitoring Systems: A Key To Smart And Clean Urban Living Spaces | 2021 Asian Conference on Innovation in Technology, ASIANCON 2021 (2021) |
| 4744 | 0.892 | Padmanabha Reddy Y.C.A.; Parameswaran T.; Sathiyaraj R. | A Smart Environment Monitoring Framework Using Big Data And Iot | 2021 IEEE Mysore Sub Section International Conference, MysuruCon 2021 (2021) |
| 31860 | 0.892 | Samal A.; Samal L.; Swain A.K.; Mahapatra K. | Integrated Iot-Based Air Quality Monitoring And Prediction System: A Hybrid Approach | Proceedings - 2023 IEEE International Symposium on Smart Electronic Systems, iSES 2023 (2023) |
| 32270 | 0.891 | Mahideb H.; Kouah S.; Ahmim A. | Intelligent Air Quality Monitoring System: A Comprehensive Review | Lecture Notes in Networks and Systems, 783 LNNS (2023) |
| 24277 | 0.89 | Yusuf Sarwar Uddin Md.; Venkatasubramanian N. | Enviroscale: Resilient Data Collection For Air Quality Monitoring In Developing Cities | TESCA 2019 - Proceedings of the 2019 1st ACM International Workshop on Technology Enablers and Innovative Applications for Smart Cities and Communities, co-located with the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, ACM BuildSys 2019 (2019) |
| 34734 | 0.889 | Jiang X. | Large Scale Air-Quality Monitoring In Smart And Sustainable Cities | Smart Cities: Foundations, Principles, and Applications (2017) |