Reputation-Based Blockchain for Spatial Crowdsourcing in Vehicular Networks
【Author】 Guo, Wenlong; Chang, Zheng; Su, Yunfei; Guo, Xijuan; Hamalainen, Timo; Li, Jian; Li, Yuan
【Source】APPLIED SCIENCES-BASEL
【影响因子】2.838
【Abstract】The sharing of high-quality traffic information plays a crucial role in enhancing the driving experience and safety performance for vehicular networks, especially in the development of electric vehicles (EVs). The crowdsourcing-based real-time navigation of charging piles is characterized by low delay and high accuracy. However, due to the lack of an effective incentive mechanism and the resource-consuming bottleneck of sharing real-time road conditions, methods to recruit or motivate more EVs to provide high-quality information gathering has attracted considerable interest. In this paper, we first introduce a blockchain platform, where EVs act as the blockchain nodes, and a reputation-based incentive mechanism for vehicular networks. The reputations of blockchain nodes are calculated according to their historical behavior and interactions. Further, we design and implement algorithms for updating honest-behavior-based reputation as well as for screening low-reputation miners, to optimize the profits of miners and address spatial crowdsourcing tasks for sharing information on road conditions. The experimental results show that the proposed reputation-based incentive method can improve the reputation and profits of vehicle users and ensure data timeliness and reliability.
【Keywords】blockchain; reputation; crowdsourcing; incentive mechanism; vehicular networks
【发表时间】2022 NOV
【收录时间】2022-11-28
【文献类型】实证数据
【主题类别】
区块链应用-实体经济-车联网
【DOI】 10.3390/app122111049
评论