Distributed On-Demand Routing Algorithm With Graph Representation Learning for Industrial IoT

Emerging industrial Internet-of-Things (IoT) applications demand diverse and critical Quality of Service (QoS). Deep reinforcement learning (DRL)-based routing approaches offer promise but struggle with scalability and convergence, particularly when dealing with graph-based network information. To t...

Celý popis

Uloženo v:

Podrobná bibliografie
Vydáno v:	IEEE transactions on network science and engineering Ročník 12; číslo 1; s. 332 - 343
Hlavní autoři:	Dai, Bin, Li, Hetao, Huang, Wenrui
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 01.01.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithms Deep learning deep reinforcement learning Delays Graph representation learning Graphical representations Heuristic algorithms Industrial applications Industrial Internet of Things Machine learning Network topology Quality of service Quality of service architectures Representation learning Routing routing optimization Scalability Topology Vectors
ISSN:	2327-4697, 2334-329X
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Buďte první, kdo okomentuje tento záznam!