An Integrated Incentive Framework for Mobile Crowdsourced Sensing

作     者：Wei Dai Yufeng Wang Qun Jin Jianhua Ma 

作者机构：College of Telecommunications and Information EngineeringNanjing University of Posts and TelecommunicationsNanjing 210003China. Department of Human Informatics and Cognitive SciencesWaseda UniversitySaitama 359-1192Japan. Faculty of Computer&Information SciencesHosei UniversityTokyo 184-8584Japan 

出 版 物：《Tsinghua Science and Technology》 (清华大学学报（自然科学版（英文版）)

年 卷 期：2016年第21卷第2期

页      面：146-156页

核心收录：

学科分类：080202[工学-机械电子工程] 08[工学] 0802[工学-机械工程] 

基　　金：supported in part by the National Natural Science Foundation of China(No.61171092) in part by the Jiangsu Educational Bureau Project(No.14KJA510004) 

主　　题：mobile crowdsourced sensing incentive mechanism reverse auction gamification reputation updating 

摘      要：Currently, mobile devices （e.g., smartphones） are equipped with multiple wireless interfaces and rich builtin functional sensors that possess powerful computation and communication capabilities, and enable numerous Mobile Crowdsourced Sensing （MCS） applications. Generally, an MCS system is composed of three components： a publisher of sensing tasks, crowd participants who complete the crowdsourced tasks for some kinds of rewards, and the crowdsourcing platform that facilitates the interaction between publishers and crowd participants. Incentives are a fundamental issue in MCS. This paper proposes an integrated incentive framework for MCS, which appropriately utilizes three widely used incentive methods： reverse auction, gamification, and reputation updating. Firstly, a reverse-auction-based two-round participant selection mechanism is proposed to incentivize crowds to actively participate and provide high-quality sensing data. Secondly, in order to avoid untruthful publisher feedback about sensing-data quality, a gamification-based verification mechanism is designed to evaluate the truthfulness of the publisher＇s feedback. Finally, the platform updates the reputation of both participants and publishers based on their corresponding behaviors. This integrated incentive mechanism can motivate participants to provide high-quality sensed contents, stimulate publishers to give truthful feedback, and make the platform profitable.