000			01829 a2200157 4500
003			DZ-ElOued
005			20260602171330.0
100	1		_aKenioua, Laid
700	1		_aLejdel, Brahim
245	0	0	_aIoT approach for smart cities based on edge computing
260			_b _c2025
500			_aIoT approach for smart cities based on edge computing
520			_aEdge computing has emerged as a transformative technology that processes data close to its source, rather than relying on remote centralized data centers or the cloud. This approach significantly reduces latency, enhances processing speed, and enables real-time decision-making, making it ideal for meeting the dynamic needs of smart cities. In urban environments, edge computing plays a critical role by supporting various applications such as smart traffic management, energy consumption monitoring, and public safety through smart cameras and sensors. Edge computing contributes to creating more efficient, responsive, and sustainable urban systems in real time, by enabling faster data analysis and reducing the burden on central networks, thus contributing to the development of smart cities. In this thesis, we use edge computing techniques and methods to support the development and operation of smart cities in various applications including supporting the work of self-driving cars, healthcare applications, and supporting data security in edge computing units. This integration between edge computing and smart cities allows data to be collected and analyzed close to the processing unit, allowing applications to make decisions in real time and improve their performance
650		4	_a/IoT//approach//for//smart//cities//based//on//edge//computing/
942			_cTHESIS
999			_c18591 _d18591