An Incentive Mechanism for Computation Offloading in Satellite-Terrestrial Internet of Vehicles

Zhang, Xingyu; Zhang, Heyang; Dai, Sida; Liu, Yang

doi:10.1109/iccc54389.2021.9674342

Cited by 3 publications

(2 citation statements)

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“…Delay and cost are jointly optimized through a simulated annealing algorithm. Similarly, the work of [25] considered the computation offloading problem in the satellite-terrestrial Internet of Vehicles. An auction-based incentive mechanism is brought forward to motivate vehicle owners to join in the offloading process.…”

Section: Computation Offloading With Incentivesmentioning

confidence: 99%

Resource- and Time-Efficient Computation Offloading in Vehicular Edge Computing: A Max-Min Fairness Oriented Approach

2022

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Nowadays, computation offloading has become a research focus since it has the potential to solve the challenges faced when dealing with computation-intensive applications in the Internet of Vehicles (IoVs), especially in the 5G or future network environment. However, major issues still exist and the performance of main metrics can be improved to better adapt to the practical scenarios. This paper focuses on achieving resource- and time-efficient computation offloading in IoVs by boosting the cooperation efficiency of vehicles. Firstly, a fuzzy logic-based pricing strategy is designed to evaluate the cooperation tendency and capability of each vehicle from multiple aspects. Vehicles are encouraged to participate in the offloading process even if they are in a disadvantageous position compared to other vehicles. Secondly, a Max-Min fairness-oriented approach is proposed to find the most suitable offloading decision, and vehicles with poor cooperation capabilities are guaranteed to be treated equally in the offloading. Finally, two heuristic algorithms are presented to solve the problem with applicable complexity and to suit the practical IoV environment. Extensive simulation results prove that the proposed approach achieves remarkable performance improvements in terms of delay, service cost and the resource utilization ratios of vehicles.

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Section: Computation Offloading With Incentivesmentioning

confidence: 99%

Resource- and Time-Efficient Computation Offloading in Vehicular Edge Computing: A Max-Min Fairness Oriented Approach

2022

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“…On a deeper level, if the Internet of vehicles is used to realize driverless, the car is not only a vehicle, but also a mobile space. In addition, the Internet of vehicles can also realize vehicle to everything (V2X), where x can be an entity or nonentity [8,9]. However, with the rapid development of the Internet of vehicles, the data of the Internet of vehicles has also experienced a blowout growth in recent years [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Internet of Vehicles Resource Scheduling Based on Blockchain and Game Theory

Chen

2022

Mathematical Problems in Engineering

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With the popularity of on-board intelligent devices, the number of vehicle computing intensive applications is also increasing rapidly. Due to the high mobility and limited computing power of the vehicle, and the extensive and changing demand for computing resources of the vehicle terminal, the vehicle often has insufficient computing power. In order to meet the needs of intensive computing applications of vehicle terminals, the computing tasks of vehicles can be unloaded to edge cloud servers (ECSs) with rich resources and high performance to enhance the computing power of vehicle terminals. However, the resource charge of ECS is high, and the scheme needs to consider such issues as ECS signal coverage, long task transmission delay caused by network congestion, and insufficient computing capacity of ECS. Therefore, this study considers unloading the computing tasks of vehicles with insufficient computing resources to nearby vehicles with redundant computing capacity and proposes a resource scheduling method for the Internet of vehicles based on blockchain and game theory. The scheduling of computing resources can reduce the computing workload of buyers’ vehicles and improve the operation efficiency of the whole vehicle network.

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An Incentive Mechanism for Computation Offloading in Satellite-Terrestrial Internet of Vehicles

Zhang

Dai

et al. 2022

Wireless Communications and Mobile Computing

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With the development of satellite-terrestrial technology and the popularity of the Internet of Vehicles, how to improve the efficiency of mobile cloud computing (MCC) has become the next concern. However, the resource of cloudlets is not sufficient to perform large-scale computation tasks, or some applications designed to run on vehicles have more efficiency executed on vehicles than executed on cloudlets. Additionally, it is still challenging for platforms to motivate mobile vehicle owners to join in the process while the existing mechanisms cannot provide all the desired properties in cloudlet scenarios. To this end, we design a satellite-terrestrial IoV based on an incentive mechanism for computation offloading (IMCO) in mobile edge computing to motivate vehicle owners to perform computation offloading tasks so as to offload certain kinds of tasks to the mobile vehicles. By optimizing the MCC model, we integrate auction theory into the mechanism to ensure individual rationality, budget balance, system efficiency, and truthfulness for both sellers and buyers. Through rigorous theoretical analysis, we prove that our mechanism can achieve computational efficiency under the condition that all algorithm outputs be computed in polynomial time. Both theoretical derivations and numerical calculations prove that all the desired properties of the mechanism hold.

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An Incentive Mechanism for Computation Offloading in Satellite-Terrestrial Internet of Vehicles

Cited by 3 publications

References 25 publications

Resource- and Time-Efficient Computation Offloading in Vehicular Edge Computing: A Max-Min Fairness Oriented Approach

Resource- and Time-Efficient Computation Offloading in Vehicular Edge Computing: A Max-Min Fairness Oriented Approach

Internet of Vehicles Resource Scheduling Based on Blockchain and Game Theory

An Incentive Mechanism for Computation Offloading in Satellite-Terrestrial Internet of Vehicles

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