PHY Security Design for Mobile Crowd Computing in ICV Networks Based on Multi-Agent Reinforcement Learning

• Published in: IEEE transactions on wireless communications Vol. 22; no. 10; p. 1
• Main Authors: Luo, Xuewen, Liu, Yiliang, Chen, Hsiao-Hwa, Guo, Qing
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.10.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: adaptive wiretap coding; artificial noise; Communication system security; Computation offloading; Computational modeling; Computing costs; computing task offloading; Cybersecurity; Encoding; Energy consumption; Energy costs; Intelligently connected vehicle; Mobile computing; multi-agent reinforcement learning; Multiagent systems; Optimization; PHY security; Roadsides; Search algorithms; Security; Servers; Task analysis; Wireless communication

In this paper, we propose a multi-roadside unit (RSU) assisted mobile crowd computing framework for intelligently connected vehicle (ICV) networks, where vehicles within RSUs' coverage act as workers to provide their computation and communication resources for computing resource limited vehicle...