Double Action Mechanism for Vehicle Edge Computing Resource Allocation and Pricing

Ying Wei Yan, Jixian Zhang, Yuankui Wei, Wenlu Lou, Ning Xie · 2021

With the advent of the 5G era, the internet of vehicles industry is booming. In order to solve the problem of explosive growth of data. This paper studies the resource allocation and price strategy of edge computing in the internet of vehicles based on the double auction mechanism. We propose Double Action of Multi-type Multi-resource Based on Breakeven (DAMMB) and Double Action of Multi-type Multi-resource Based on Dynamic Pricing (DAMMDP) algorithms, DAMMB and DAMMDP can significantly improve the utility and effective matching of internet of vehicles systems.

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