Reputation-Based Blockchain for Spatial Crowdsourcing in Vehicular Networks

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.

The Geospatial Crowd: Emerging Trends and Challenges in Crowdsourced Spatial Analytics

“…In [25], Guo W et al (2022) considered the enhancement of crowdsourced data within vehicular networks by the integration of blockchain technologies and cloud computing. Their research focused on evaluating the role of cloud services in managing large-scale data in vehicular networks, which basically require scalable and flexible data processing capabilities.…”