
Trustworthy and Efficient Data Trading in Decentralized Mobile Crowd Sensing Systems
Lin XU, Sijia YU, Zhenni FENG, Feng YIN
Journal of Donghua University(English Edition) ›› 2024, Vol. 41 ›› Issue (01) : 89-101.
Trustworthy and Efficient Data Trading in Decentralized Mobile Crowd Sensing Systems
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.
mobile crowd sensing ( MCS ) / data trading / auction / blockchain
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