Joint Optimization of Security Strength and Resource Allocation for Computation Offloading in Vehicular Edge Computing
Date
2023-04-13
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE Transactions on Wireless Communications
Abstract
Vehicular Edge Computing (VEC) is a promising new paradigm that has attracted much attention in recent years, which can enhance the storage and computing capabilities of vehicular networks to provide users with low latency and high-quality services. Due to the open access and unreliable wireless channels, some appropriate security measures should be implemented in the VEC to ensure information security. However, the operation of the security mechanism dominates supererogatory computing resources, thus affecting the performance of VEC systems. The scarcity of computation and energy resources of the vehicles conflicts with the requirement of tasks for time delay and information security. In this paper, taking the driving velocity and position of the vehicles, the number of lanes, the model and density of the attackers, and security strength into consideration, we formulate a max-min optimization problem to jointly optimize offloading decision, transmit power, task computation frequency, encryption computation frequency, edge computation frequency, and block length to obtain optimal secure information capacity and local computation delay. The formulated optimization problem is a mixed integer nonlinear programming (MINLP), which is intractable. We apply the generalized benders decomposition (GBD)-based method to solve it. The simulation results show that our proposed algorithms have convergence and effectiveness and achieve fairness among vehicles on the road.
Description
© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. This article was originally published in IEEE Transactions on Wireless Communications. The version of record is available at: https://doi.org/10.1109/TWC.2023.3265458
Keywords
computation offloading, resource allocation, secure information capacity, vehicular edge computing
Citation
H. Xiao, J. Zhao, J. Feng, L. Liu, Q. Pei and W. Shi, "Joint Optimization of Security Strength and Resource Allocation for Computation Offloading in Vehicular Edge Computing," in IEEE Transactions on Wireless Communications, doi: 10.1109/TWC.2023.3265458.