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Title: An incentive mechanism design for socially aware crowdsensing services with incomplete information
Authors: Nie, Jiangtian
Luo, Jun
Xiong, Zehui
Niyato, Dusit
Wang, Ping
Guizani, Mohsen
Keywords: Engineering::Computer science and engineering
Issue Date: 2019
Source: Nie, J., Luo, J., Xiong, Z., Niyato, D., Wang, P., & Guizani, M. (2019). An Incentive Mechanism Design for Socially Aware Crowdsensing Services with Incomplete Information. IEEE Communications Magazine, 57(4), 74–80. doi:10.1109/mcom.2019.1800580
Journal: IEEE Communications Magazine 
Abstract: Traditional crowdsensing platforms rely on sensory information collected from a group of independent users or sensors. Recently, socially aware crowdsensing services have been introduced as the integration of social networks and crowdsensing platforms. For example, in health-related crowdsensing applications, a user benefits from information regarding food, exercise, medicine, and medical treatment collected and shared by his/her socially connected friends and family members. In this article, we first introduce basic concepts of socially aware crowdsensing services and highlight the importance of "social network effects" in the services. Typically adopted in social networks, network effects are used to quantify the influence of an action or preference of one user on other users with social ties. With this focus, we then discuss important aspects of socially aware crowdsensing services with network effects and some technical challenges. We find that game theory is a suitable analytical tool to investigate such crowdsensing services, for which important related work is surveyed. To address existing research gaps, we propose a game model for an incentive mechanism design with incomplete information about social network effects in socially aware crowdsensing. The proposed model is shown to improve the benefits of the crowdsensing service provider as well as those of the users.
ISSN: 0163-6804
DOI: 10.1109/MCOM.2019.1800580
Schools: School of Computer Science and Engineering 
Rights: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at:
Fulltext Permission: open
Fulltext Availability: With Fulltext
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