Blockchain-Based VEC Network Trust Management: A DRL Algorithm for Vehicular Service Offloading and Migration

Yinlin Ren, Xingyu Chen, Song Guo, Shaoyong Guo, Ao Xiong

Research output: Journal article publicationJournal articleAcademic researchpeer-review

7 Citations (Scopus)


To meet the execution requirements of delay-sensitive services in vehicular edge computing (VEC) networks, vehicular services need to be offloaded to edge computing nodes. For complex, large-scale services, the services need to be migrated if the services are not completed before the vehicles leave the coverage of edge computing nodes. Trust and resource matching between areas thus become major problems. This paper studies the decision model of vehicular service offloading and migration. First, software-defined network (SDN) technology is introduced into the traditional network architecture, and a two-layer distributed SDN-controlled VEC network architecture is designed, which is divided into a domain control layer and an area control layer. In this framework, we use the consortium blockchain as a carrier to share network topology information between SDN controllers to prevent information leakage. We then established a service offloading and migration optimization problem model to minimize service execution delay, reduce energy consumption and maximize the throughput of the blockchain system. We describe the problem model as a Markov Decision Process (MDP), introduce a deep reinforcement learning (DRL) algorithm named asynchronous advantage actor-critic (A3C) and design a dynamic service offloading and migration algorithm (DSOMA) based on A3C to solve the problem. Simulation results show that DSOMA can increase the throughput of the blockchain system, and DSOMA is superior to the deep Q-learning (DQN) algorithm and greedy offloading algorithm in reducing service execution delay and system energy consumption.

Original languageEnglish
Article number9465768
Pages (from-to)8148-8160
Number of pages13
JournalIEEE Transactions on Vehicular Technology
Issue number8
Publication statusPublished - Aug 2021


  • blockchain
  • deep reinforcement learning
  • Distributed SDN
  • service offloading and migration
  • VEC

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Electrical and Electronic Engineering
  • Applied Mathematics


Dive into the research topics of 'Blockchain-Based VEC Network Trust Management: A DRL Algorithm for Vehicular Service Offloading and Migration'. Together they form a unique fingerprint.

Cite this