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Incentive-Aware Time-Sensitive Data Collection in Mobile Opportunistic Crowdsensing

机译:移动机会性人群感知中的奖励性时间敏感数据收集

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摘要

Data collection is a crucial operation in mobile opportunistic crowdsensing. The design of data collection is challenging due to the fact that smart devices have limited resources to conduct complex computation and sensing tasks in mobile opportunistic networks. In this paper, we propose a time-sensitive incentive-aware mechanism for mobile opportunistic crowdsensing data collection, in which each sensing data has an attached time-sensitive value that decays over time. We focus on the cooperative data collection problem in mobile opportunistic crowdsensing, where data collectors cooperate with mobile users to send data back to requesters. However, due to the selfishness of mobile users, we use an incentive mechanism to stimulate the mobile users to participate in the data collection. The objective is to maximize data collectors' and mobile relay users' rewards. We formulate the interaction among data carrier and mobile relay users as a two-user cooperative game, we apply the asymmetric Nash bargain solution to obtain the optimal cooperation decision and transfer payment. Extensive simulation results based on the real-world traces are provided to validate the superiority of our proposed schemes.
机译:数据收集是移动机会人群感知中的关键操作。由于智能设备的资源有限,无法在移动机会网络中执行复杂的计算和传感任务,因此数据收集的设计具有挑战性。在本文中,我们提出了一种用于移动机会人群感知数据收集的时间敏感型激励感知机制,其中每个感知数据都有一个随时间递减的附加时间敏感值。我们专注于移动机会式人群感知中的协作数据收集问题,其中数据收集器与移动用户合作以将数据发送回请求者。但是,由于移动用户的私心,我们使用激励机制来刺激移动用户参与数据收集。目的是最大化数据收集者和移动中继用户的奖励。我们将数据载体和移动中继用户之间的互动公式化为两用户合作博弈,我们采用非对称Nash讨价还价解决方案来获得最佳合作决策和转移支付。提供了基于真实世界轨迹的大量仿真结果,以验证我们提出的方案的优越性。

著录项

  • 来源
    《IEEE Transactions on Vehicular Technology》 |2017年第9期|7849-7861|共13页
  • 作者单位

    School of Automation, Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institute of Technology, Beijing, China;

    School of Automation, Key Laboratory of Intelligent Control and Decision of Complex Systems, Beijing Institute of Technology, Beijing, China;

    State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, China;

    School of Computer Science, Beijing Institute of Technology, Beijing, China;

    Department of Computer Science, University of North Carolina at Charlotte, Charlotte, NC, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Sensors; Data collection; Relays; Mobile computing; Cellular networks; Games;

    机译:传感器;数据收集;继电器;移动计算;蜂窝网络;游戏;

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