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IoT Solution for Smart Cities' Pollution Monitoring and the Security Challenges
Cristian Toma1, Andrei Alexandru2, Marius Popa3
1Department of Economic Informatics and Cybernetics, Faculty of Cybernetics, Statistics and Economic Informatics, Bucharest University of Economic Studies, 010552 Bucharest, Romania. cristian.toma@ie.ase.ro.
Sensors (Basel, Switzerland)
|August 7, 2019
Summary
This study presents a secure Internet of Things (IoT) system for real-time air pollution monitoring in urban areas. The solution uses predictive analytics to create pollution maps and enable traffic management interventions to reduce emissions.
Area of Science:
- Environmental Science and Engineering
- Computer Science and Information Technology
- Urban Planning and Smart Cities
Background:
- Air pollution is a significant contributor to global heating and poses health risks.
- Urban areas increasingly use Information Technology (IT) for environmental monitoring and control.
- Existing systems require enhanced security and real-time data analysis for effective pollution mitigation.
Purpose of the Study:
- To investigate the components of a real-time pollution monitoring system using the Internet of Things (IoT).
- To address critical issues including sensor technology, communication protocols, data security, and consistency.
- To develop and validate a secure IoT solution for mitigating air pollution and its health effects.
Main Methods:
- Design and development of an IoT system incorporating sensors, communication protocols, and data transmission channels.
- Implementation of robust security measures focusing on communication channels between IoT gateways and cloud infrastructure.
- Utilizing predictive analytics for data interpretation, pollution mapping, and real-time countermeasure planning.
Main Results:
- A proof of concept (PoC) demonstrating the feasibility of a secure IoT pollution monitoring system.
- Successful integration of security best practices and standards for reliable data handling.
- Development of pollution maps capable of informing real-time interventions like traffic diversion.
Conclusions:
- The proposed IoT solution offers a secure and effective approach to real-time air pollution monitoring.
- Predictive analytics and pollution mapping enable dynamic traffic management for emission reduction.
- Integration with traffic control systems can significantly decrease vehicle-related air pollution in urban environments.