通信学报 ›› 2019, Vol. 40 ›› Issue (3): 125-138.doi: 10.11959/j.issn.1000-436x.2019029

• 学术论文 • 上一篇    下一篇

口碑参与模式下移动众包网络的用户博弈研究

曾锋1,王润华1,彭佳2,陈志刚1   

  1. 1 中南大学计算机学院,湖南 长沙 410000
    2 空中交通管理系统与技术国家重点实验室,江苏 南京 210000
  • 修回日期:2018-12-29 出版日期:2019-03-01 发布日期:2019-04-04
  • 作者简介:曾锋(1977- ),男,广东梅州人,博士,中南大学副教授,主要研究方向为边缘计算、群智感知网络、车联网与人工智能等。|王润华(1996- ),女,安徽安庆人,中南大学硕士生,主要研究方向为移动众包网络、群智感知网络与博弈论等。|彭佳(1990- ),女,土家族,湖南张家界人,博士,空中交通管理系统与技术国家重点实验室工程师,主要研究方向为群智感知网络、博弈论与机制设计、智能交通与空中交通网络优化等。|陈志刚(1964- ),男,湖南益阳人,博士,中南大学教授、博士生导师,主要研究方向为计算机网络及分布式计算。
  • 基金资助:
    国家自然科学基金资助项目(61672540);国家自然科学基金资助项目(61502159)

Game-theoretical analysis of mobile contributors in mobile crowd sourcing network with word of mouth mode

Feng ZENG1,Runhua WANG1,Jia PENG2,Zhigang CHEN1   

  1. 1 School of Computer Science and Engineering,Central South University,Changsha 410000,China
    2 State Key Laboratory of Air Traffic Management System and Technology,Nanjing 210000,China
  • Revised:2018-12-29 Online:2019-03-01 Published:2019-04-04
  • Supported by:
    The National Natural Science Foundation of China(61672540);The National Natural Science Foundation of China(61502159)

摘要:

研究了口碑参与模式下参与用户之间的博弈行为,探究个体利益最大化的最佳策略。首先,给出了口碑参与模式下移动用户行为交互场景和相关定义,提出的移动用户效应函数不仅考虑了用户的数据贡献量,还考虑了用户邀请与合作因素,能激励用户之间相互合作;然后,基于博弈论斯塔克伯格模型分析了口碑参与模式下用户的博弈过程,把用户之间的行为交互分成两级博弈过程,应用逆向归纳法分析得出一级和二级博弈中用户的最佳对策,并获得了斯塔克伯格均衡;最后,证明了斯塔克伯格均衡的存在唯一性,提出了计算斯塔克伯格均衡的算法。数值实验结果验证了用户效应函数的合理性和斯塔克伯格均衡的存在唯一性。

关键词: 移动众包, 口碑参与模式, 博弈论, 斯塔克伯格模型

Abstract:

The crowdsourcer who calls for sensing service can recruit enough mobile contributors quickly with the word of mouth mode,improving the quality of sensing tasks.The behavior of mobile contributors in mobile crowdsourcing with the WoM was investigated.It was supposed that each mobile contributor was rational,seeking for the highest utility.The behavior of mobile contributors with a two-level Stackelberg game was formulated.In the first-level game,a mobile contributor who directly worked for the crowdsourcer acted as the leader,while contributors invited by first-level contributors were followers called the second-level contributors.In the second-level game,the second-level contributors were the leaders and contributors invited by them were followers.The Nash equilibrium for each Stackelberg game was proved was existed and unique,and designed an algorithm to reach the equilibrium.Backward induction approach to compute the best response of each game was adopted,and the simulation results show the correctness of theoretical analysis for the interaction among contributors in crowdsoucing with WoM.

Key words: mobile crowdsourcing, word of mouth mode, game theory, Stackelberg game

中图分类号: 

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