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© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

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.

Details

Title
Revolutionising the Quality of Life: The Role of Real-Time Sensing in Smart Cities
Author
Miranda, Rui 1   VIAFID ORCID Logo  ; Alves, Carlos 1   VIAFID ORCID Logo  ; Sousa, Regina 1   VIAFID ORCID Logo  ; Chaves, António 1   VIAFID ORCID Logo  ; Montenegro, Larissa 1   VIAFID ORCID Logo  ; Peixoto, Hugo 1   VIAFID ORCID Logo  ; Durães, Dalila 1   VIAFID ORCID Logo  ; Machado, Ricardo 2 ; Abelha, António 1   VIAFID ORCID Logo  ; Novais, Paulo 1   VIAFID ORCID Logo  ; Machado, José 1   VIAFID ORCID Logo 

 Algoritmi Research Centre/LASI, University of Minho, 4800-058 Guimarães, Portugal; [email protected] (R.M.); [email protected] (C.A.); [email protected] (R.S.); [email protected] (A.C.); [email protected] (L.M.); [email protected] (H.P.); [email protected] (A.A.); [email protected] (P.N.) 
 Câmara Municipal de Guimarães, 4804-534 Guimarães, Portugal; [email protected] 
First page
550
Publication year
2024
Publication date
2024
Publisher
MDPI AG
e-ISSN
20799292
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2923907786
Copyright
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.