JOURNAL ARTICLE

Stackelberg Game for Data offloading in Parking - Vehicular Network

Ying Wang

Year: 2022 Journal:   2022 IEEE 5th International Conference on Electronic Information and Communication Technology (ICEICT) Pages: 1035-1039

Abstract

VANET has been a promising paradigm to offer low-latency service. Nevertheless, the massive mobile data demand brings huge challenges to the network. With the communication capabilities, the parked vehicle can be the communication node to meet the user traffic demand. To implement it, we propose an approach to incentivize users to offload data by using parked vehicles. The economic interactions of operator and user are formalized as a multi-user Stackelberg Game where the operator is leader and users are followers. The existence of Stackelberg equilibrium is guaranteed. We transform the multi-user problem into a single-user problem which is an integer programming problem. We relax the integer constraints that transform the original problem into linear programming and prove the optimal solution for the two problems is the same. An iterative algorithm was proposed to achieve the Stackelberg equilibrium. Finally, we provide numerical results to demonstrate the effectiveness of our algorithm.

Keywords:
Stackelberg competition Computer science Integer programming Mathematical optimization Game theory Computer network Latency (audio) Nash equilibrium Iterative method Node (physics) Distributed computing Algorithm Engineering Mathematics

Metrics

1
Cited By
0.25
FWCI (Field Weighted Citation Impact)
0
Refs
0.41
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Transportation and Mobility Innovations
Physical Sciences →  Engineering →  Automotive Engineering
Electric Vehicles and Infrastructure
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Blockchain Technology Applications and Security
Physical Sciences →  Computer Science →  Information Systems

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