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Published in:
Introduction to Mobile Crowd Sensing Read chapter Read first chapter

2019 | OriginalPaper | Chapter

3. Reputation-Aware Incentive Mechanism Design

Authors : Fen Hou, Yingying Pei, Jingyi Sun

Published in: Mobile Crowd Sensing: Incentive Mechanism Design

Publisher: Springer International Publishing

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Abstract

During the collection of sensing data, the service provider (SP) aims to obtain a large amount of data. However, in addition to the quantity of the collected data, the quality of each collected data is also important. Smartphone users (SUs) may submit some erroneous or unreliable data intentionally or unintentionally, and the low-quality data will impact the accuracy of data analysis result, degrade the satisfaction of an SP. Therefore, the quality of sensing data is one of the most critical factors in the collection of sensing data, and should be considered in the incentive mechanism design.

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previous chapter Auction Theory and Incentive Mechanism Design
next chapter Social-Aware Incentive Mechanism Design
Literature
1.
Huang KL, Kanhere SS, Hu W (2010) Are you contributing trustworthy data?: the case for a reputation system in participatory sensing. In: Proceedings of the 13th ACM international conference on Modeling, analysis, and simulation of wireless and mobile systems, 2010. ACM, pp 14–22
2.
Kantarci B, Mouftah HT (2014) Reputation-based sensing-as-a-service for crowd management over the cloud. In: Communications (ICC), 2014 IEEE International Conference on, 2014. IEEE, pp 3614–3619
3.
Krishna V (2009) Auction Theory, Academic press.
Metadata
Title
Reputation-Aware Incentive Mechanism Design
Authors
Fen Hou
Yingying Pei
Jingyi Sun
Copyright Year
2019
Book
Mobile Crowd Sensing: Incentive Mechanism Design

Print ISBN: 978-3-030-01023-2

Electronic ISBN: 978-3-030-01024-9

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-01024-9_3