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IoT approach for smart cities based on edge computing (رقم التسجيلة. 18591)
[ عرض عادي ]
| 100 1# - 100 | |
|---|---|
| a | Kenioua, Laid |
| 245 00 - 245 | |
| a | IoT approach for smart cities based on edge computing |
| 260 ## - 260 | |
| b | |
| c | 2025 |
| 942 ## - 942 | |
| c | THESIS |
| 999 ## - 999 | |
| c | 18591 |
| d | 18591 |
| 952 ## - 952 | |
| 9 | 45461 |
| a | MAIN |
| b | MAIN |
| d | 2026-06-02 |
| o | TD006/009/01 |
| p | MAIN-1-16805 |
| y | THESIS |
| 500 ## - 500 | |
| -- | IoT approach for smart cities based on edge computing |
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| -- | Edge computing has emerged as a transformative technology that processes data close to its source,<br/>rather than relying on remote centralized data centers or the cloud. This approach significantly reduces<br/>latency, enhances processing speed, and enables real-time decision-making, making it ideal for meeting<br/>the dynamic needs of smart cities.<br/>In urban environments, edge computing plays a critical role by supporting various applications such as<br/>smart traffic management, energy consumption monitoring, and public safety through smart cameras<br/>and sensors. Edge computing contributes to creating more efficient, responsive, and sustainable urban<br/>systems in real time, by enabling faster data analysis and reducing the burden on central networks, thus<br/>contributing to the development of smart cities. In this thesis, we use edge computing techniques and<br/>methods to support the development and operation of smart cities in various applications including<br/>supporting the work of self-driving cars, healthcare applications, and supporting data security in edge<br/>computing units. This integration between edge computing and smart cities allows data to be collected<br/>and analyzed close to the processing unit, allowing applications to make decisions in real time and<br/>improve their performance |
| 650 #4 - 650 | |
| -- | /IoT//approach//for//smart//cities//based//on//edge//computing/ |
| 700 1# - 700 | |
| -- | Lejdel, Brahim |
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