A Computation Offloading Incentive Mechanism with Delay and Cost Constraints under 5G Satellite-ground IoV architecture
Minghui LiWang, Shijie Dai, Zhibin Gao, Xiaojiang Du, Mohsen Guizani,, Huaiyu Dai

TL;DR
This paper proposes a satellite-integrated 5G IoV architecture with an incentive-based computation offloading mechanism that optimizes delay and cost, using simulated annealing to find near-optimal solutions.
Contribution
It introduces a novel satellite-5G IoV framework and a joint optimization incentive mechanism for computation offloading under delay and cost constraints.
Findings
The proposed mechanism effectively reduces application completion time.
It balances offloading benefits with cost control for vehicular users.
Simulation results validate the mechanism's efficiency and effectiveness.
Abstract
The 5G Internet of Vehicles has become a new paradigm alongside the growing popularity and variety of computation-intensive applications with high requirements for computational resources and analysis capabilities. Existing network architectures and resource management mechanisms may not sufficiently guarantee satisfactory Quality of Experience and network efficiency, mainly suffering from coverage limitation of Road Side Units, insufficient resources, and unsatisfactory computational capabilities of onboard equipment, frequently changing network topology, and ineffective resource management schemes. To meet the demands of such applications, in this article, we first propose a novel architecture by integrating the satellite network with 5G cloud-enabled Internet of Vehicles to efficiently support seamless coverage and global resource management. A incentive mechanism based joint…
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Taxonomy
TopicsIoT and Edge/Fog Computing · Vehicular Ad Hoc Networks (VANETs) · Blockchain Technology Applications and Security
