Quality-Aware Incentive Mechanism for Mobile Crowd Sensing
Joint Authors
He, Fan
Wang, Yu
Jiang, Lingyun
Sun, Lijuan
Huang, Hai-ping
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-14, 14 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-09-28
Country of Publication
Egypt
No. of Pages
14
Main Subjects
Abstract EN
Mobile crowd sensing (MCS) is a novel sensing paradigm which can sense human-centered daily activities and the surrounding environment.
The impact of mobility and selfishness of participants on the data reliability cannot be ignored in most mobile crowd sensing systems.
To address this issue, we present a universal system model based on the reverse auction framework and formulate the problem as the Multiple Quality Multiple User Selection (MQMUS) problem.
The quality-aware incentive mechanism (QAIM) is proposed to meet the quality requirement of data reliability.
We demonstrate that the proposed incentive mechanism achieves the properties of computational efficiency, individual rationality, and truthfulness.
And meanwhile, we evaluate the performance and validate the theoretical properties of our incentive mechanism through extensive simulation experiments.
American Psychological Association (APA)
Jiang, Lingyun& He, Fan& Wang, Yu& Sun, Lijuan& Huang, Hai-ping. 2017. Quality-Aware Incentive Mechanism for Mobile Crowd Sensing. Journal of Sensors،Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1187111
Modern Language Association (MLA)
Jiang, Lingyun…[et al.]. Quality-Aware Incentive Mechanism for Mobile Crowd Sensing. Journal of Sensors No. 2017 (2017), pp.1-14.
https://search.emarefa.net/detail/BIM-1187111
American Medical Association (AMA)
Jiang, Lingyun& He, Fan& Wang, Yu& Sun, Lijuan& Huang, Hai-ping. Quality-Aware Incentive Mechanism for Mobile Crowd Sensing. Journal of Sensors. 2017. Vol. 2017, no. 2017, pp.1-14.
https://search.emarefa.net/detail/BIM-1187111
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1187111