A1 Journal article (refereed)
Reputation-Based Blockchain for Spatial Crowdsourcing in Vehicular Networks (2022)

Guo, W., Chang, Z., Su, Y., Guo, X., Hämäläinen, T., Li, J., & Li, Y. (2022). Reputation-Based Blockchain for Spatial Crowdsourcing in Vehicular Networks. Applied Sciences, 12(21), Article 11049. https://doi.org/10.3390/app122111049

JYU authors or editors

Publication details

All authors or editors: Guo, Wenlong; Chang, Zheng; Su, Yunfei; Guo, Xijuan; Hämäläinen, Timo; Li, Jian; Li, Yuan

Journal or series: Applied Sciences

eISSN: 2076-3417

Publication year: 2022

Publication date: 31/10/2022

Volume: 12

Issue number: 21

Article number: 11049

Publisher: MDPI

Publication country: Switzerland

Publication language: English

DOI: https://doi.org/10.3390/app122111049

Publication open access: Openly available

Publication channel open access: Open Access channel

Publication is parallel published (JYX): https://jyx.jyu.fi/handle/123456789/84592

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: intelligent transportation systems; wireless networks; wireless data transmission; resourcing; crowdsourcing; blockchains

Free keywords: blockchain; reputation; crowdsourcing; incentive mechanism; vehicular networks

Contributing organizations

Ministry reporting: Yes

Reporting Year: 2022

JUFO rating: 1