Deep Reinforcement Learning With Dueling DQN for Partial Computation Offloading and Resource Allocation in Mobile Edge Computing

Computation offloading transfers resource-intensive tasks from local Internet of Things (IoT) devices to powerful edge servers, which minimizes latency and reduces the computational load on IoT devices. Deep Reinforcement Learning (DRL) is widely utilized to optimize computation offloading decisions...

ver descrição completa

Detalhes bibliográficos

Principais autores:	Ehzaz Mustafa, Junaid Shuja, Faisal Rehman, Abdallah Namoun, Mazhar Ali, Abdullah Alourani
Formato:	Artigo
Idioma:	Inglês
Publicado em:	IEEE 2025-01-01
coleção:	IEEE Access
Assuntos:	Computation offloading deep Q network (DQN) edge computing Internet of Things (IoT) resource allocation reinforcement learning
Acesso em linha:	https://ieeexplore.ieee.org/document/11015773/
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!