Analysis of Behavioral Economics in Crowdsensing: A Loss Aversion Cooperation Model
Joint Authors
Li, Deng
Qiu, Liying
Liu, Jiaqi
Xiao, Congwen
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-04-12
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Abstract EN
The existing incentive mechanisms of crowdsourcing construct the expected utility function based on the assumption of rational people in traditional economics.
A large number of studies in behavioral economics have demonstrated the defects of the traditional utility function and introduced a new parameter called loss aversion coefficient to calculate individual utility when it suffers a loss.
In this paper, combination of behavioral economics and a payment algorithm based on the loss aversion is proposed.
Compared with usual incentive mechanisms, the node utility function is redefined by the loss aversion characteristic of the node.
Experimental results show that the proposed algorithm can get a higher rate of cooperation with a lower payment price and has good scalability compared with the traditional incentive mechanism.
American Psychological Association (APA)
Li, Deng& Qiu, Liying& Liu, Jiaqi& Xiao, Congwen. 2018. Analysis of Behavioral Economics in Crowdsensing: A Loss Aversion Cooperation Model. Scientific Programming،Vol. 2018, no. 2018, pp.1-18.
https://search.emarefa.net/detail/BIM-1214696
Modern Language Association (MLA)
Li, Deng…[et al.]. Analysis of Behavioral Economics in Crowdsensing: A Loss Aversion Cooperation Model. Scientific Programming No. 2018 (2018), pp.1-18.
https://search.emarefa.net/detail/BIM-1214696
American Medical Association (AMA)
Li, Deng& Qiu, Liying& Liu, Jiaqi& Xiao, Congwen. Analysis of Behavioral Economics in Crowdsensing: A Loss Aversion Cooperation Model. Scientific Programming. 2018. Vol. 2018, no. 2018, pp.1-18.
https://search.emarefa.net/detail/BIM-1214696
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1214696