IoT traffic management using deep learning based on osmotic cloud to edge computing

IoT is critical in many application areas, such as smart cities, health care, and surveillance systems. Each application has its own QoS requirements. Dynamic traffic management in an IoT network is essential for optimal load balancing and routing. It also allows applications to achieve their desire...

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Veröffentlicht in:	Telecommunication systems 2024-10, Vol.87 (2), p.419-435
Hauptverfasser:	Absardi, Zeinab Nazemi, Javidan, Reza
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial Intelligence Business and Management Cloud computing Computer centers Computer Communication Networks Data centers Deep learning Edge computing Energy consumption IT in Business Probability Theory and Stochastic Processes Quality of service architectures Routing (telecommunications) Run time (computers) Surveillance systems Telecommunications systems Traffic control Traffic surveillance Wide area networks
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