题名 | OPQR: Online Pricing and Quality Requesting for Mobile Crowd Sensing |
作者 | |
DOI | |
发表日期 | 2019
|
ISSN | 1530-1346
|
ISBN | 978-1-7281-3000-2
|
会议录名称 | |
卷号 | 2019-June
|
页码 | 154-159
|
会议日期 | 29 June-3 July 2019
|
会议地点 | Barcelona, Spain
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出版地 | 345 E 47TH ST, NEW YORK, NY 10017 USA
|
出版者 | |
摘要 | In mobile crowd sensing (MCS), appropriate rewards are always expected to compensate the participants for their consumptions of physical resources and involvements of manual efforts. Hence, the research about incentive mechanisms is essential and useful for MCS, and the existing works focus on optimizing one of the performance, such as the data quality, or the platforms profit, so, how to design an incentive mechanism which not only can guarantee the high data quality but also can maximize the profit of platforms is challenging issue. In this paper, we propose a quality-based online incentive mechanism with unknown users cost distributions for MCS. The scheme uses a Markov Decision Procession (MDP) to online adjust the incentive price such that it tends to the optimal price. Moreover, the data quality request is also considered in our scheme. Furthermore, we evaluate the performances of our proposed scheme with single task and multiple tasks, extensive simulation results show that can perform better in profit and regret than the existing incentive scheme. © 2019 IEEE. |
关键词 | |
学校署名 | 其他
|
语种 | 英语
|
相关链接 | [来源记录] |
收录类别 | |
资助项目 | Guangdong Province Key Area RD Program[2018B010113001]
|
WOS研究方向 | Computer Science
; Telecommunications
|
WOS类目 | Computer Science, Artificial Intelligence
; Computer Science, Information Systems
; Computer Science, Theory & Methods
; Telecommunications
|
WOS记录号 | WOS:000568621700032
|
EI入藏号 | 20200608137193
|
EI主题词 | Costs
|
EI分类号 | Cost and Value Engineering; Industrial Economics:911
; Industrial Economics:911.2
|
来源库 | EV Compendex
|
全文链接 | https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8969776 |
引用统计 |
被引频次[WOS]:0
|
成果类型 | 会议论文 |
条目标识符 | http://sustech.caswiz.com/handle/2SGJ60CL/104893 |
专题 | 南方科技大学 |
作者单位 | 1.Tsinghua University, China 2.Southern University of Science and Technology, China |
推荐引用方式 GB/T 7714 |
Liang, Jiachen,Li, Li,Li, Qing,et al. OPQR: Online Pricing and Quality Requesting for Mobile Crowd Sensing[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:Institute of Electrical and Electronics Engineers Inc.,2019:154-159.
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条目包含的文件 | 条目无相关文件。 |
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