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

Rui Miranda, Carlos Alves, Regina Sousa, António Chaves, Larissa Montenegro, Hugo Peixoto, Dalila Durães, Ricardo Machado, António Abelha, Paulo Novais, José Machado: Revolutionising the Quality of Life: The Role of Real-Time Sensing in Smart Cities. Em: Electronics, vol. 13, não 3, pp. 550, 2024.

Resumo

To further evolve urban quality of life, this paper explores the potential of crowdsensing and crowdsourcing in the context of smart cities. To aid urban planners and residents in understanding the nuances of day-to-day urban dynamics, we actively pursue the improvement of data visualisation tools that can adapt to changing conditions. An architecture was created and implemented that ensures secure and easy connectivity between various sources, such as a network of Internet of Things (IoT) devices, to merge with crowdsensing data and use them efficiently. In addition, we expanded the scope of our study to include the development of mobile and online applications, emphasizing the integration of autonomous and geo-surveillance. The main findings highlight the importance of sensor data in urban knowledge. Their incorporation via Tepresentational State Transfer (REST) Application Programming Interface (APIs) improves data access and informed decision-making, and dynamic data visualisation provides better insights. The geofencing of the application encourages community participation in urban planning and resource allocation, supporting sustainable urban innovation.

BibTeX (Download)

@article{miranda2024revolutionising,
title = {Revolutionising the Quality of Life: The Role of Real-Time Sensing in Smart Cities},
author = {Rui Miranda and Carlos Alves and Regina Sousa and António Chaves and Larissa Montenegro and Hugo Peixoto and Dalila Durães and Ricardo Machado and António Abelha and Paulo Novais and José Machado},
doi = {https://doi.org/10.3390/electronics13030550},
year  = {2024},
date = {2024-01-01},
urldate = {2024-01-01},
journal = {Electronics},
volume = {13},
number = {3},
pages = {550},
publisher = {MDPI},
abstract = {To further evolve urban quality of life, this paper explores the potential of crowdsensing and crowdsourcing in the context of smart cities. To aid urban planners and residents in understanding the nuances of day-to-day urban dynamics, we actively pursue the improvement of data visualisation tools that can adapt to changing conditions. An architecture was created and implemented that ensures secure and easy connectivity between various sources, such as a network of Internet of Things (IoT) devices, to merge with crowdsensing data and use them efficiently. In addition, we expanded the scope of our study to include the development of mobile and online applications, emphasizing the integration of autonomous and geo-surveillance. The main findings highlight the importance of sensor data in urban knowledge. Their incorporation via Tepresentational State Transfer (REST) Application Programming Interface (APIs) improves data access and informed decision-making, and dynamic data visualisation provides better insights. The geofencing of the application encourages community participation in urban planning and resource allocation, supporting sustainable urban innovation.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}