Resource Pricing and Allocation for the Internet of Vehicles Blockchain

被引:0
|
作者
Hu, Xuexue [1 ]
Liu, Chuyi [1 ]
Wan, Jianxiong [1 ]
Li, Leixiao [1 ]
机构
[1] Inner Mongolia Univ Technol, Hohhot 010080, Peoples R China
基金
中国国家自然科学基金;
关键词
Internet of vehicles; Mobile blockchain; Deep reinforcement learning; Partial offloading; Resource pricing and allocation; PRIVACY;
D O I
10.1145/3675249.3675325
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
In the consensus process of blockchain, the miner who successfully mines the block first is the one who receives the reward.Mining requires a large amount of computing resources, the limited resources of the vehicle equipment can not meet this requirement. The emergence of Mobile Edge Computing (MEC) technology can effectively solve this problem, miners can rent the resources of MEC servers to get rewards. However, how to balance the rewards and expenditures to maximise the miner's gain still faces a huge challenge.Existing studies are paid with fixed payment rules after resource allocation, and miners are unable to pay according to their own needs and budgets.Therefore, to solve the problem of Miner gain, this paper proposes the IoV Blockchain Miner Gain Optimisation Algorithm. The method uses partial offloading to process mining tasks, and miners bid for the resources of MEC servers. The simulation experiment results verify the performance of the proposed method, which can effectively improve the mining gain of miners compared with other baseline algorithms.
引用
收藏
页码:442 / 446
页数:5
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