Age Efficient Optimization in UAV-Aided VEC Network : A Game Theory Viewpoint

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

10 Scopus Citations
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Author(s)

  • Zhaoyang Han
  • Yaoqi Yang
  • Lu Zhou
  • Tu N. Nguyen
  • Chunhua Su

Related Research Unit(s)

Detail(s)

Original languageEnglish
Pages (from-to)25287-25296
Journal / PublicationIEEE Transactions on Intelligent Transportation Systems
Volume23
Issue number12
Online published21 Jun 2022
Publication statusPublished - Dec 2022

Abstract

The timeless and efficient vehicle data transmission are the two common requirements for the Internet of Vehicles (IoV), especially the Unnamed Aircraft Vehicle (UAV)-aided Vehicular Edge Computing (VEC) network. Moreover, since the Age of Information (AoI) performance greatly influences these two indicators, data quality should be guaranteed in vehicle communication. However, few researchers pay attention to the AoI performance optimization issue regarding wireless resource constraint, transmission interference, and vehicle cooperation in recent years. To close this research gap, we propose an AoI-oriented channel access strategy in the UAV-aided VEC network from the game theory viewpoint. Firstly, the UAV-aided VEC network model and edge computing-based AoI expression are established and derived in the closed form, respectively. Subsequently, we transform the AoI minimization problem into an AoI-based channel access issue from the game theory viewpoint. Moreover, the stochastic learning-based algorithm is proposed to find the Nash Equilibrium (NE) solution of the formulated problem. Finally, simulation results evaluate the correctness and effectiveness of the proposed algorithms, where our scheme can achieve the better AoI value compared with baselines.

Research Area(s)

  • Age of information (AoI), Autonomous aerial vehicles, Data integrity, Edge computing, game theory, Interference, Optimization, Resource management, vehicular edge computing (VEC)

Citation Format(s)

Age Efficient Optimization in UAV-Aided VEC Network: A Game Theory Viewpoint. / Han, Zhaoyang; Yang, Yaoqi; Wang, Weizheng et al.
In: IEEE Transactions on Intelligent Transportation Systems, Vol. 23, No. 12, 12.2022, p. 25287-25296.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review