A cross-space, multi-interaction-based dynamic incentive mechanism for mobile crowd sensing

被引：0

作者：

Nan, Wen-Qian ^{[1
]}

Guo, Bin ^{[1
]}

Chen, Hui-Hui ^{[1
]}

Yu, Zhi-Wen ^{[1
]}

Wu, Wen-Le ^{[1
]}

Zhou, Xing-She ^{[1
]}

机构：

[1] School of Computer Science, Northwestern Polytechnical University, Xi'an

来源：

Jisuanji Xuebao/Chinese Journal of Computers | 2015年 / 38卷 / 12期

基金：

中国国家自然科学基金;

关键词：

Cross-space; Incentive scheme; Mobile crowd sensing; Multi-interaction; Spatio-temporal contexts;

D O I：

10.11897/SP.J.1016.2015.02412

中图分类号：

学科分类号：

摘要：

With the surge of varied crowdsensing systems, active user participation becomes a crucial factor that determines whether a crowdsensing system can provide good service quality. To encourage user participation in mobile crowd sensing, we propose a novel incentive mechanism called CSII-a Cross-Space, multi-Interaction-based dynamic Incentive mechanism. CSII can estimate the value of a task based on the sensing context and historical data. It then has multiple interactions with both the task requester and potential contributors to dynamically adjust the budget and select suitable people to form the worker group. Finally, the requester pays the workers reward that they deserved based on their reputation and bids. Both online and offline data are leveraged to estimate task value and user quality for a particular task. Experiments show that the incentive mechanism can achieve good performance in terms of task completion rate, enthusiasm and data quality, and so on. © 2015, Science Press. All right reserved.

引用

页码：2412 / 2425

页数：13

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