• 中国精品科技期刊
  • CCF推荐A类中文期刊
  • 计算领域高质量科技期刊T1类
Advanced Search
He Yunhua, Li Mengru, Li Hong, Sun Limin, Xiao Ke, Yang Chao. A Blockchain Based Incentive Mechanism for Crowdsensing Applications[J]. Journal of Computer Research and Development, 2019, 56(3): 544-554. DOI: 10.7544/issn1000-1239.2019.20170670
Citation: He Yunhua, Li Mengru, Li Hong, Sun Limin, Xiao Ke, Yang Chao. A Blockchain Based Incentive Mechanism for Crowdsensing Applications[J]. Journal of Computer Research and Development, 2019, 56(3): 544-554. DOI: 10.7544/issn1000-1239.2019.20170670

A Blockchain Based Incentive Mechanism for Crowdsensing Applications

More Information
  • Published Date: February 28, 2019
  • Crowdsensing applications collect large-scale sensing data by ubiquitous users carrying with smart devices. In crowdsensing applications, the quality of sensing data depends on the participation of high-skilled users, thus the users should be compensated for their resource consumption in the sensing task. Existing incentive mechanisms are difficult to meet the security requirements in the distributed environment of crowdsensing applications. For example, the reputation mechanism may suffer sybil attacks and whitewash attacks, which is unfair to honest users. The reciprocity mechanism is not flexible. The monetary scheme could make up the defects of the two preceding mechanisms, but it either relys on a central authority or does not give an explicit digital currency system which is provably secure, leading to possible system collapses or potential privacy disclosure caused by the ‘trusted’ center. In this paper, we propose a blockchain based incentive mechanism which uses a distributed architecture that is proved to be secure. In this distributed secure architecture, the participant users can be regarded as the nodes in a blockchain, and the payment transactions are recorded in the blockchain. The transactions will be verified by a majority of miners in the blockchain and they cannot be modified after being accepted by the miners. The incentive mechanism can prevent a part of participant users launching collusion attacks, and avoid the security threats brought by a trusted third party. Simulation experiments demonstrate the security strength and feasibility of the proposed incentive mechanism.
  • Related Articles

    [1]Tang Guowei, Wang Shanshe, Zhang Yan, Zhao Debin. Fractal-Searching-Tree-Based Embedded Wavelet Image Coding[J]. Journal of Computer Research and Development, 2013, 50(7): 1484-1490.
    [2]Zhou Lian, Wang Guojin. Piecewise Linear Approximation of Rational Triangular Surfaces[J]. Journal of Computer Research and Development, 2012, 49(5): 1116-1122.
    [3]Han Xuming, Zuo Wanli, Wang Limin, Shi Xiaohu. Atmospheric Quality Assessment Model Based on Immune Algorithm Optimization and Its Applications[J]. Journal of Computer Research and Development, 2011, 48(7): 1307-1313.
    [4]Huang Weixian and Wang Guojin. The L\-2 Distances for Rational Surfaces Based on Matrix Representation of Degree Elevation[J]. Journal of Computer Research and Development, 2010, 47(8): 1338-1345.
    [5]Yan Guanghui and Li Zhanhuai. A Two Phases Unsupervised Sequential Forward Fractal Dimensionality Reduction Algorithm[J]. Journal of Computer Research and Development, 2008, 45(11): 1955-1964.
    [6]Chen Jun and Wang Guojin. Optimal Parameterizations of the Degree 2 Rational Bézier Curves[J]. Journal of Computer Research and Development, 2008, 45(9): 1601-1604.
    [7]He Chuanjiang, Liu Weisheng, Shen Xiaona. Fast Fractal Image Coding Based on Quincunx Sums of Normalized Blocks[J]. Journal of Computer Research and Development, 2007, 44(12): 2066-2071.
    [8]Li Yajuan and Wang Guozhao. Uniform Interval Implicitization of Rational Surfaces[J]. Journal of Computer Research and Development, 2006, 43(5): 914-919.
    [9]Wang Fangshi, Xu De, and Wu Weixin. A Cluster Algorithm of Automatic Key Frame Extraction Based on Adaptive Threshold[J]. Journal of Computer Research and Development, 2005, 42(10): 1752-1757.
    [10]Zhang Can, Tu Guofang, Liu Xiaozhou. Remote Sensing Image Processing Using Wavelet Fractal Interpolation[J]. Journal of Computer Research and Development, 2005, 42(2): 247-251.
  • Cited by

    Periodical cited type(3)

    1. 丁坤,刘增泉,张经炜,杨泽南,李喆雨. 基于图像奇异值分解的局部遮挡光伏阵列输出特性建模研究. 综合智慧能源. 2023(02): 53-60 .
    2. 李新. 功率谱估计在舰船噪声特征提取中的应用仿真. 舰船科学技术. 2022(04): 43-46 .
    3. 杨宝军. 基于有限元特征值的船舶螺旋桨噪声数据分类算法. 舰船科学技术. 2021(14): 7-9 .

    Other cited types(3)

Catalog

    Article views (2200) PDF downloads (806) Cited by(6)

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return