CAPR: context-aware participant recruitment mechanism in mobile crowdsourcing

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• 作者：Hongli Zhang ; Zhikai Xu ; Xiaojiang Du ; Zhigang Zhou and Jiantao Shi
• 刊名：Wireless Communications and Mobile Computing
• 出版年：2016
• 出版时间：25 October 2016
• 年：2016
• 卷：16
• 期：15
• 页码：2179-2193
• 全文大小：1204K
• ISSN：1530-8677

文摘

With the advances of sensing, wireless communication, and mobile computing, mobile crowdsourcing has become a new paradigm for data collection and retrieval that has attracted considerable attention. This paper addresses the fundamental research issue in mobile crowdsourcing: Which participants should be selected as winners in each time slot with the aim of maximizing the total utility of the service provider in the long term? First, a double-sided combinatorial auction model is introduced to describe the relationships between the mobile users and requesters from the perspective of supply and demand at a given time. Then, the coupling between the utility values of the system in different time slots is investigated. Based on the aforementioned analyses, this paper proposes a context-aware participant recruitment mechanism, in which the mobile crowdsourcing system dynamically adjusts the participant recruitment mechanism depending on the ratio between the numbers of mobile users and requesters. Context-aware participant recruitment consists of two main components: (1) a heuristic algorithm based on the greedy strategy to determine the winning participants and (2) a critical payment scheme, which guarantees the rationality of the proposed mechanism. Finally, extensive simulations demonstrate that the proposed mechanism achieves high system utility in the long term. Copyright