A Collaborative Task Offloading Scheme in Vehicular Edge Computing

Bute, Muhammad Saleh; Fan, Pingzhi; Liu, Gang; Abbas, Fakhar; Ding, Zhiguo

doi:10.1109/vtc2021-spring51267.2021.9448975

Cited by 20 publications

(8 citation statements)

References 16 publications

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“…The basic functionality of computation offloading is the decision about the task to be offloaded or not, and the server where it would be offloaded, [7]. Offloading is dependent on estimating the link lifetime because of issues with communication interruption; this is important in a computational offloading choice process in VANET, [8].…”

Section: Introductionmentioning

confidence: 99%

Resource Allocation Methods in Vanets:a Systematic Literature Review

Trombly

Alsmadi

2023

Preprint

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Autonomous vehicles take on a more prominent part of our every day life activities. As the number of vehicles grows so does the need for resources to ensure safe and consistent operations of these vehicles. Today's networks and power grid are already used heavily just supplying resources for our day to day lives and leisure. The continuous increase in demand for such resources drives the need for more advanced resource management tools and techniques and more precise resource allocation schemes. This paper is a systematic literature review on the current methods and research trends for resource allocation in vehicular networks. The purpose of this review is to understand current research trends and motivations. Our hope is to provide a comparative analysis of resource allocation solutions, research trends and also challenges in vehicular networks.

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Section: Introductionmentioning

confidence: 99%

Resource Allocation Methods in Vanets:a Systematic Literature Review

Trombly

Alsmadi

2023

Preprint

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“…Other studies focus on reducing energy consumption or the dual optimization of energy consumption and time delay [15][16][17][18][19]. Te reliability and use of computing resources have received the attention from many researchers [8,[20][21][22]. Research on the JTORA problem is used to treat computing tasks as a whole, but this is not the case in emergency logistics.…”

Section: Introductionmentioning

confidence: 99%

Joint Task Offloading and Resource Allocation in Vehicular Edge Computing Networks for Emergency Logistics

Ling

Wang

et al. 2023

Mathematical Problems in Engineering

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As a special form of multiaccess edge computing (MEC), vehicular edge computing (VEC) plays an important role in emergency logistics by providing real-time and low-latency services for vehicles. The solution of the joint task offloading and resource allocation problem (JTORA) is the key to improving VEC efficiency. This study formulates a special model according to the multistage characteristics of the computational task in vehicular edge computing networks (VECNs) for emergency logistics. First, the JTORA problem is decomposed into three computational steps, each of which includes a task offload (TO) problem and a resource allocation (RA) problem. Then, a hybrid solution is proposed which uses a simulated annealing process to optimize the genetic algorithm (GA) and cooperate with the particle swarm optimization (PSO) algorithm, called the genetic simulated annealing and particle swarm optimization (GSA-PSO) algorithm. Furthermore, a simulation experiment is designed and the effectiveness of the GSA-PSO is verified.

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“…The optimization of computation resource allocation and task offloading are two key points in VEC networks. Several recent studies focus on the optimization of task offloading [6], [7], [8], [9]. For example, in [6], a load-balancing offloading approach is designed with the aim of minimizing the processing delay of the computation tasks.…”

Section: Introductionmentioning

confidence: 99%

“…Dai et al [8] design a cooperative task offloading scheme by using the queuing theory to model the task execution process to minimize the system delay. Bute et al [9] aim to maximize the offloading reliability and minimize the offloading latency in VEC networks. However, these studies mainly focus on optimizing the offloading strategies of vehicles without considering the resource allocation from the perspective of VEC servers.…”

Section: Introductionmentioning

confidence: 99%

BARGAIN-MATCH: A Game Theoretical Approach for Resource Allocation and Task Offloading in Vehicular Edge Computing Networks

Sun¹

2022

Preprint

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Vehicular edge computing (VEC) is emerging as a promising architecture of vehicular networks (VNs) by deploying the cloud computing resources at the edge of the VNs. This work aims to optimize resource allocation and task offloading in VEC networks. Specifically, we formulate a game theoretical resource allocation and task offloading problem (GTRATOP) that aims to maximize the system performance by jointly considering the incentive for cooperation, competition among vehicles, heterogeneity between VEC servers and vehicles, and inherent dynamic of VNs. Since the formulated GTRATOP is NP-hard, we propose an adaptive approach for resource allocation and task offloading in VEC networks by incorporating bargaining game and matching game, which is called BARGAIN-MATCH. First, for resource allocation, a bargaining game-based incentive is proposed to stimulate the vehicles and VEC servers to negotiate the optimal resource allocation and pricing decisions. Second, for task offloading, a many-to-one matching scheme is proposed to decide the optimal offloading strategies. Third, the dynamic and time-varying features are considered to adapt the strategies of BARGAIN-MATCH to the real-time VEC networks. Moreover, the BARGAIN-MATCH is proved to be stable and weak Pareto optimal. Simulation results demonstrate that the proposed BARGAIN-MATCH achieves superior system performance and efficiency compared to other methods, especially when the system workload is heavy.

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A Collaborative Task Offloading Scheme in Vehicular Edge Computing

Cited by 20 publications

References 16 publications

Resource Allocation Methods in Vanets:a Systematic Literature Review

Resource Allocation Methods in Vanets:a Systematic Literature Review

Joint Task Offloading and Resource Allocation in Vehicular Edge Computing Networks for Emergency Logistics

BARGAIN-MATCH: A Game Theoretical Approach for Resource Allocation and Task Offloading in Vehicular Edge Computing Networks

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