| Title | A Predictive and Scalable Architecture Based on IoT and Fog Computing for Smart City Applications |
|---|---|
| ID_Doc | 44946 |
| Authors | Zineb, B; Siham, B; Jean-Philippe, L |
| Title | A Predictive and Scalable Architecture Based on IoT and Fog Computing for Smart City Applications |
| Year | 2022 |
| Published | |
| Abstract | Nowadays, the smart city represents the future trends in urban areas, it allows the monitoring and control of all the parameters needed to manage the city, including the environment, life, economy, people, governance and mobility. This concept will raise awareness among citizens and improve the quality of life through better use of public resources. Nevertheless, the rapid growth of smart city and Internet of Things applications is associated with many challenges requiring massive research efforts. In this work, we focus on designing and developing a smart city architecture based on the centralization of smart city services, self-control and adaptation, and future system behavior prediction. Indeed, our proposal integrates a central management application to visualize the different events of the various smart applications and even the dependencies between them. This will allow monitoring and controlling all aspects of smart city applications and system health. In addition, this central application helps gain users' trust by explaining the different decisions and actions taken. Moreover, our architecture supports not only the generation of intelligent decisions in real time, but also short, medium- and long-term decisions based on prediction mechanism. |
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