Trustworthy and Efficient Data Trading in Decentralized Mobile Crowd Sensing Systems

Abstract

Mobile crowd sensing ( MCS ) systems, which offer a great opportunity to take full advantage of the wisdom of the crowd, naturally benefit from low deployment cost and wide spatial coverage. Due to failure or risk caused by a central server, constructing an efficient MCS system with untrustworthy participants in a decentralized manner is investigated. An efficient and practical decentralized MCS system based on a distributed auction process and the blockchain system is proposed. The proposed method achieves the optimal social profit satisfying individual rationality and protecting their privacy, through a neutral, public and trustful platform. Both theoretical analysis and numerical experiments show the effectiveness of the proposed approach.

Keywords

mobile crowd sensing ( MCS ) / data trading / auction / blockchain

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Funding

Free Exploration Project of Basic Research Business Funds of Central Universities, China(2232021D-23)