基于区块链的群智感知质量评估系统

rowdsensing is developing more and more rapidly due to the advantages of low cost, high convenience, and fast execution in processing complex tasks. However, the quality of sensing data collected is different, which makes it difficult to evaluate the quality of the data. Furthermore, most of the crowdsensing is based on the central server, which will bring many problems, such as single point of failure, fraudulent behavior,etc. In order to solve the above problems, this paper proposes the quality control model of crowdsensing based on blockchain technology, and evaluates the data quality by using the algorithm based on data classification and quality ranking. In particular, this paper adopts the smart contract to implement transaction processing in the process of crowdsensing. Finally, experiments are carried out on the Ethereum test network, and further experiments are carried out to compare different quality evaluation methods. The results show that the proposed model can distinguish data quality to obtain high-quality sensing data, and the proposed system is feasible and flexible.