Multi-Objective Secure Task Offloading Strategy for Blockchain-Enabled IoV-MEC Systems: A Double Deep Q-Network Approach
The Internet of Vehicles (IoV) represents a paradigm shift in vehicular communication, aiming to enhance traffic efficiency, safety, and the driving experience by leveraging interconnected vehicles. Despite its promise, the IoV faces challenges such as efficient task offloading, energy management, a...
Main Authors: | Komeil Moghaddasi, Shakiba Rajabi, Farhad Soleimanian Gharehchopogh |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2024-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10378647/ |
Similar Items
-
A Multi-Agent Reinforcement Learning-Based Task-Offloading Strategy in a Blockchain-Enabled Edge Computing Network
by: Chenlei Liu, et al.
Published: (2024-07-01) -
Privacy-Preserving Task Offloading Strategies in MEC
by: Haijian Yu, et al.
Published: (2022-12-01) -
Research on Task-Offloading Delay in the IoV Based on a Queuing Network
by: Jingyun Wei, et al.
Published: (2024-01-01) -
A deep reinforcement approach for computation offloading in MEC dynamic networks
by: Yibiao Fan, et al.
Published: (2024-04-01) -
Deep Q-Learning Technique for Offloading Offline/Online Computation in Blockchain-Enabled Green IoT-Edge Scenarios
by: Arash Heidari, et al.
Published: (2022-08-01)