Mobility-Aware Computation Offloading and Blockchain-based Handover in Vehicular Edge Computing Networks

【Author】 Lang, Ping; Tian, Daxin; Duan, Xuting; Zhou, Jianshan

【Source】2022 IEEE 25TH INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS (ITSC)

【影响因子】

【Abstract】As a novel computing paradigm, vehicular edge computing (VEC) provides additional computing capacity to connected automated vehicles by deploying resources of computing and storage on base stations or roadside units. Vehicles migrate their tasks to VEC servers for execution through computation offloading (CO) to improve processing efficiency. However, the high-speed movement of vehicles causes handover among multiple VEC servers while raising the security issue of data sharing. In this paper, we design a mobility-aware CO and blockchain-based handover architecture to reduce the latency and improve the security of vehicular CO. A CO decision problem with models of mobility, CO, and blockchain-based handover is proposed to optimize the offloading decision of vehicles. Further, we transform this optimization into a Markov decision process (MDP) and construct a multi-agent deep reinforcement learning (MADRL) algorithm to solve it. The effectiveness and performance of the proposed method are verified by simulations.

【Keywords】

【发表时间】2022

【收录时间】2023-05-05

【文献类型】理论模型

【主题类别】

区块链应用-实体经济-交通领域