Journal of South China University of Technology(Natural Science Edition) ›› 2019, Vol. 47 ›› Issue (8): 96-104.doi: 10.12141/j.issn.1000-565X.180534

• Computer Science & Technology • Previous Articles     Next Articles

Incentive Mechanism of Crowdsensing Based on Loss Aversion

LIU Jiaqi GAO Mu   

  1. School of Computer Science of Engineering，Central South University，Changsha 410075，Hunan，China
  • Received:2018-10-26 Revised:2019-06-16 Online:2019-08-25 Published:2019-08-01
  • Contact: 刘佳琦(1983-)，女，博士后，副教授，主要从事分布式与移动计算、软件工程研究． E-mail:dongxuanlee@gmail.com
  • About author:刘佳琦(1983-)，女，博士后，副教授，主要从事分布式与移动计算、软件工程研究．
  • Supported by:
    Supported by the National Natural Science Foundation of China(61572528)

PDF

188

Abstract: At present，the incentive mechanism of crowdsensing is mostly based on traditional economics，while the study of behavioral economics shows that users do not always pursue the maximization of their economic utility because of loss aversion，and the incentive mechanism based on traditional economics can not fully and effectively motivate users． Therefore，an incentive mechanism based on loss aversion (LA-RAIM) was designed． This mecha- nism sets reward factor based on user's loss aversion． By giving users additional rewards during the incentive time， users feel that they will lose if they do not participate in the system，so as to motivate more users to participate． Compared with the classical RVA-IM，the simulation results show that LA-RAIM can not only increase the number of participants，but improve the platform utility and user average utility．

Key words: crowdsensing, incentive mechanism, behavioral economics, loss aversion

CLC Number: