Optimized Workload Allocation in Vehicular Edge Computing: A Sequential Game Approach

  • Dongdong Ye
  • Maoqiang Wu
  • Jiawen Kang
  • Rong Yu
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 237)


With the development of Vehicle-to-Everything (V2X) communication technologies, Vehicular Edge Computing (VEC) is utilized to speed up the running of vehicular computation workload by deploying VEC servers in close proximity to vehicular terminals. Due to resource limitation of VEC servers, VEC servers are unable to perform a large number of vehicular computation workloads. To improve the performance of VEC servers, we propose a new workload allocation framework where vehicular terminals are divided into Resource Provision Terminals (RPTs) and Resource Demand Terminals (RDTs). In this framework, we design an optimized workload allocation strategy through a sequential Stackelberg game. With the sequential Stackelberg game, a VEC server, RDTs, and RPTs achieve an efficient coordination of the workload allocation. The sequential Stackelberg game is proven to reach two sequential Nash Equilibriums. The simulation results validate the efficiency of the optimized workload allocation strategy.


Vehicular edge computing Workload allocation Sequential Stackelberg game 



This work was supported in part by programs of NSFC under Grant nos. 61422201, 61370159 and U1301255, U1501251, the Science and Technology Program of Guangdong Province under Grant no. 2015B010129001, Special-Support Project of Guangdong Province under grant no. 2014TQ01X100, High Education Excellent Young Teacher Program of Guangdong Province under grant no. YQ2013057, Science and Technology Program of Guangzhou under grant no. 2014J2200097.


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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  • Dongdong Ye
    • 1
  • Maoqiang Wu
    • 1
  • Jiawen Kang
    • 1
  • Rong Yu
    • 1
  1. 1.Guangdong University of TechnologyGuangzhouChina

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