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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Hlavní autor:	Yanming Jia
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Springer 2026-05-01
Edice:	Discover Computing
Témata:	Edge computing IoT Federated intelligence Reinforcement learning Real-time systems Distributed architecture
On-line přístup:	https://doi.org/10.1007/s10791-026-10133-w
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