Revolutionising the Quality of Life: The Role of Real-Time Sensing in Smart Cities

Revolutionising the Quality of Life: The Role of Real-Time Sensing in Smart Cities

2024 | Rui Miranda, Carlos Alves, Regina Sousa, António Chaves, Larissa Montenegro, Hugo Peixoto, Dalila Durães, Ricardo Machado, António Abelha, Paulo Novais, José Machado
This paper explores the potential of crowdsensing and crowdsourcing in smart cities to enhance urban quality of life. The authors develop an architecture that integrates various sources, such as IoT devices, to efficiently collect and utilize sensor data. They also create mobile and online applications that incorporate geofencing to encourage community participation in urban planning and resource allocation. The main findings highlight the importance of sensor data in urban knowledge, improved data access through REST APIs, and dynamic data visualization for better decision-making. The platform integrates crowdsourcing, crowdsensing, and IoT technologies to provide real-time insights and improve urban dynamics. The architecture ensures secure and easy connectivity between different data sources, and the developed applications facilitate citizen engagement and sustainable urban innovation. The research demonstrates the potential of real-time data analysis and crowdsensing technology to significantly improve the quality of life for residents in smart cities.This paper explores the potential of crowdsensing and crowdsourcing in smart cities to enhance urban quality of life. The authors develop an architecture that integrates various sources, such as IoT devices, to efficiently collect and utilize sensor data. They also create mobile and online applications that incorporate geofencing to encourage community participation in urban planning and resource allocation. The main findings highlight the importance of sensor data in urban knowledge, improved data access through REST APIs, and dynamic data visualization for better decision-making. The platform integrates crowdsourcing, crowdsensing, and IoT technologies to provide real-time insights and improve urban dynamics. The architecture ensures secure and easy connectivity between different data sources, and the developed applications facilitate citizen engagement and sustainable urban innovation. The research demonstrates the potential of real-time data analysis and crowdsensing technology to significantly improve the quality of life for residents in smart cities.
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