When user interest meets data quality: A novel user filter scheme for mobile crowd sensing

Wensheng Li, Fan Li, Kashif Sharif, Yu Wang

科研成果: 书/报告/会议事项章节会议稿件同行评审

9 引用 (Scopus)
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摘要

Mobile crowd sensing has become a promising paradigm for mobile users to collect information. Considering that the task information push is not free and there are many users who are not interested in the current task or provide noisy sensing data, one of the imminent problems is how to recommend high-quality and interested users in real time and steer participators to collect data with adequate budgets. However, it is difficult to predict the data quality and users' interest without the validity of real data. In this paper, we propose a user recommender system where the users' data qualities for sensing tasks are derived from historical statistical data to filter out the non-interested and malicious users in current task. The aim is to recruit a sub-group of participators for efficient crowd sensing, in order to maximize the platform utility. We show that our problem is NP-hard, and model the recruitment process as a sub-modular problem. Finally, an approximation algorithm is designed to guarantee the platform utility and participators' profits. We evaluate our algorithm on simulated data set and the results indicate that the platform utility and data quality improves significantly.

源语言英语
主期刊名Proceedings - 2017 IEEE 23rd International Conference on Parallel and Distributed Systems, ICPADS 2017
出版商IEEE Computer Society
97-104
页数8
ISBN(电子版)9781538621295
DOI
出版状态已出版 - 2 7月 2017
活动23rd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2017 - Shenzhen, 中国
期限: 15 12月 201717 12月 2017

出版系列

姓名Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS
2017-December
ISSN(印刷版)1521-9097

会议

会议23rd IEEE International Conference on Parallel and Distributed Systems, ICPADS 2017
国家/地区中国
Shenzhen
时期15/12/1717/12/17

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引用此

Li, W., Li, F., Sharif, K., & Wang, Y. (2017). When user interest meets data quality: A novel user filter scheme for mobile crowd sensing. 在 Proceedings - 2017 IEEE 23rd International Conference on Parallel and Distributed Systems, ICPADS 2017 (页码 97-104). (Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS; 卷 2017-December). IEEE Computer Society. https://doi.org/10.1109/ICPADS.2017.00024