A low-latency intelligent edge computing architecture for real-time decision-making in large-scale IoT networks

Abstract The deployment of massive Internet of Things (IoT) networks has further heightened demand for real-time analytics, autonomous decision-making, and ultra-low-latency processing. Traditional cloud-centric systems suffer from delays in communication, network overload, and a lack of flexibility...

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Detalles Bibliográficos

Autor principal:	Yanming Jia
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	Springer 2026-05-01
Colección:	Discover Computing
Materias:	Edge computing IoT Federated intelligence Reinforcement learning Real-time systems Distributed architecture
Acceso en línea:	https://doi.org/10.1007/s10791-026-10133-w
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