A novel energy aware resource allocation algorithm for fog nodes using clipped double deep Q-learning

Fog computing offers low latency for sensitive applications by deploying fog nodes near the edge, thus supporting computation close to Internet of Things (IoT) devices. In this article, we allocate resources by ensuring minimal energy consumption of the fog nodes, which helps to overcome latency and...

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Hlavní autoři:	C. Anitha, C. Revathy
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	PeerJ Inc. 2026-05-01
Edice:	PeerJ Computer Science
Témata:	Fog computing Resource allocation Energy management Reinforcement learning EACQL resource allocation algorithm Q learning
On-line přístup:	https://peerj.com/articles/cs-3903.pdf
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