智能手机众包:手机感知激励机制设计

Dejun Yang, G. Xue, Xi Fang, Jian Tang
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引用次数: 989

摘要

移动电话传感是一种新的范例,它利用无处不在的智能手机来收集和分析超出以前可能的规模的数据。在手机传感系统中,该平台招募智能手机用户提供传感服务。现有的移动电话传感应用和系统缺乏能够吸引更多用户参与的良好激励机制。为了解决这个问题,我们设计了手机感应的激励机制。我们考虑了两种系统模型:以平台为中心的模型,平台提供参与用户共享的奖励,以及以用户为中心的模型,用户对他们将收到的付款有更多的控制权。对于以平台为中心的模型,我们使用Stackelberg游戏设计了一种激励机制,其中平台是领导者,用户是追随者。我们展示了如何计算唯一的Stackelberg均衡,在此均衡中,平台的效用最大化,并且没有用户可以通过单方面偏离当前策略来提高其效用。对于以用户为中心的模型,我们设计了一个基于拍卖的激励机制,该机制具有计算效率、个体理性、可盈利和真实的特点。通过大量的仿真,我们评估了激励机制的性能,并验证了激励机制的理论性质。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Crowdsourcing to smartphones: incentive mechanism design for mobile phone sensing
Mobile phone sensing is a new paradigm which takes advantage of the pervasive smartphones to collect and analyze data beyond the scale of what was previously possible. In a mobile phone sensing system, the platform recruits smartphone users to provide sensing service. Existing mobile phone sensing applications and systems lack good incentive mechanisms that can attract more user participation. To address this issue, we design incentive mechanisms for mobile phone sensing. We consider two system models: the platform-centric model where the platform provides a reward shared by participating users, and the user-centric model where users have more control over the payment they will receive. For the platform-centric model, we design an incentive mechanism using a Stackelberg game, where the platform is the leader while the users are the followers. We show how to compute the unique Stackelberg Equilibrium, at which the utility of the platform is maximized, and none of the users can improve its utility by unilaterally deviating from its current strategy. For the user-centric model, we design an auction-based incentive mechanism, which is computationally efficient, individually rational, profitable, and truthful. Through extensive simulations, we evaluate the performance and validate the theoretical properties of our incentive mechanisms.
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