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An incentive mechanism with privacy protection and quality evaluation in mobile crowd computing

机译:移动人群计算中具有隐私保护和质量评估的激励机制

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摘要

In order to achieve good service quality for mobile crowd computing (MCC), incentive mechanism need to attract more users to participate in the task while avoiding leakage of privacy. We proposed an incentive mechanism with privacy protection and quality evaluation (IMPPQE). Combining the advantages of offline and online incentive mechanisms, we design improved two-stage auction to select the winners, while protecting participants 'privacy. Finally, the sensing reports are evaluated by quantitative calculation to ensure the objectivity of evaluation. Extensive simulations show that our proposed method can improve the efficiency and utility of MCC and obtain higher satisfaction rate of data quality.
机译:为了实现移动人群计算(MCC)的良好服务质量,激励机制需要吸引更多的用户参与任务,同时避免隐私泄露。我们提出了一种具有隐私保护和质量评估(IMPPQE)的激励机制。结合线下和在线激励机制的优势,我们设计了改进的两阶段拍卖来选择获奖者,同时保护参与者的隐私。最后,通过定量计算对传感报告进行评估,以确保评估的客观性。大量的仿真表明,本文提出的方法可以提高MCC的效率和实用性,并获得更高的数据质量满意率。

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