Next Article in Journal
A Fast, Efficient Domain Adaptation Technique for Cross-Domain Electroencephalography(EEG)-Based Emotion Recognition
Next Article in Special Issue
Effective Social Relationship Measurement and Cluster Based Routing in Mobile Opportunistic Networks
Previous Article in Journal
Support System to Improve Reading Activity in Parkinson’s Disease and Essential Tremor Patients
Previous Article in Special Issue
Canoe: An Autonomous Infrastructure-Free Indoor Navigation System
Article Menu
Issue 5 (May) cover image

Export Article

Open AccessArticle
Sensors 2017, 17(5), 1012;

Social Welfare Control in Mobile Crowdsensing Using Zero-Determinant Strategy

College of Information Science and Technology, Beijing Normal University, Beijing 100875, China
Department of Computer Science, George Washington University, Washington, DC 20052, USA
Author to whom correspondence should be addressed.
Academic Editor: Leonhard M. Reindl
Received: 28 February 2017 / Revised: 7 April 2017 / Accepted: 11 April 2017 / Published: 3 May 2017
Full-Text   |   PDF [395 KB, uploaded 3 May 2017]   |  


As a promising paradigm, mobile crowdsensing exerts the potential of widespread sensors embedded in mobile devices. The greedy nature of workers brings the problem of low-quality sensing data, which poses threats to the overall performance of a crowdsensing system. Existing works often tackle this problem with additional function components. In this paper, we systematically formulate the problem into a crowdsensing interaction process between a requestor and a worker, which can be modeled by two types of iterated games with different strategy spaces. Considering that the low-quality data submitted by the workers can reduce the requestor’s payoff and further decrease the global income, we turn to controlling the social welfare in the games. To that aim, we take advantage of zero-determinant strategy, based on which we propose two social welfare control mechanisms under both game models. Specifically, we consider the requestor as the controller of the games and, with proper parameter settings for the to-be-adopted zero-determinant strategy, social welfare can be optimized to the desired level no matter what strategy the worker adopts. Simulation results demonstrate that the requestor can achieve the maximized social welfare and keep it stable by using our proposed mechanisms. View Full-Text
Keywords: crowdsensing; game theory; zero-determinant strategy; social welfare crowdsensing; game theory; zero-determinant strategy; social welfare

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Hu, Q.; Wang, S.; Bie, R.; Cheng, X. Social Welfare Control in Mobile Crowdsensing Using Zero-Determinant Strategy. Sensors 2017, 17, 1012.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top