As the commercial use of 5G technologies has grown more prevalent, smart vehicles have become an efficient platform for delivering a wide array of services directly to customers. The vehicular crowdsourcing service (VCS), for example, can provide immediate and timely feedback to the user regarding real-time transportation information. However, different sources can generate spurious information towards a specific service request in the pursuit of profit. Distinguishing trusted information from numerous sources is the key to a reliable VCS platform. This paper proposes a solution to this problem called “RC-chain”, a reputation-based crowdsourcing framework built on a blockchain platform (Hyperledger Fabric). We first establish the blockchain-based platform to support the management of crowdsourcing trading and user-reputation evaluating activities. A reputation model, the Trust Propagation & Feedback Similarity (TPFS), then calculates the reputation values of participants and reveals any malicious behavior accordingly. Finally, queueing theory is used to evaluate the blockchain-based platform and optimize the system performance. The proposed framework was deployed on the IBM Hyperledger Fabric platform to observe its real-world running time, effectiveness, and overall performance.

随着5G技术在商业上的使用日渐普及，智能汽车已成为一种有效的平台，可以直接向客户提供各种服务。例如，车辆众包服务（VCS）可以向用户提供有关实时交通信息的即时及时反馈。但是，在追求利润时，不同的来源可能会针对特定的服务请求生成虚假信息。区分来自众多来源的可信信息是可靠的VCS平台的关键。本文提出了针对该问题的解决方案，称为“ RC-chain”，这是一种基于信誉的众包框架，构建在区块链平台（Hyperledger Fabric）上。我们首先建立基于区块链的平台，以支持众包交易和用户声誉评估活动的管理。信誉模型，即信任传播和反馈相似性（TPFS），然后计算参与者的信誉值，并相应地揭示任何恶意行为。最后，使用排队论来评估基于区块链的平台并优化系统性能。拟议的框架已部署在IBM Hyperledger Fabric平台上，以观察其实际运行时间，有效性和整体性能。