Intelligent Vehicle Computation Offloading in Vehicular Ad Hoc Networks: A Multi-Agent LSTM Approach with Deep Reinforcement Learning

Intelligent Vehicle Computation Offloading in Vehicular Ad Hoc Networks: A Multi-Agent LSTM Approach with Deep Reinforcement Learning

As distributed computing evolves, edge computing has become increasingly important. It decentralizes resources like computation, storage, and bandwidth, making them more accessible to users, particularly in dynamic Telematics environments. However, these environments are marked by high levels of dyn...

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Bibliographic Details
Main Authors: Dingmi Sun, Yimin Chen, Hao Li
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Mathematics
Subjects:
edge computing
computation offloading
resource allocation
deep reinforcement learning
Online Access:https://www.mdpi.com/2227-7390/12/3/424

Internet

https://www.mdpi.com/2227-7390/12/3/424

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