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个人信息Personal Information
教授
博士生导师
硕士生导师
主要任职：Director of Academic Committee at Kaifa District
其他任职：开发区校区学术分委员会主任（Director of Academic Committee at Kaifa Campus）
性别：男
毕业院校：多伦多大学
学位：博士
所在单位：软件学院、国际信息与软件学院
学科：软件工程. 运筹学与控制论
办公地点：开发区（Kaifa District Campus）
联系方式：mingchul@dlut.edu.cn
电子邮箱：mingchul@dlut.edu.cn
Multi-Reciprocity Policies Co-Evolution Based Incentive Evaluating Framework for Mobile P2P Systems
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论文类型：期刊论文
发表时间：2017-01-01
发表刊物：IEEE ACCESS
收录刊物：SCIE、EI、Scopus
卷号：5
页面范围：3313-3321
ISSN号：2169-3536
关键字：Co-evolution; reciprocity-based incentive mechanism; evolutionary game; MP2P; evaluating framework
摘要：With the development of wireless sensing technologies, numerous sensing applications from the Internet of Things (IoT) are widely used in life and industry. Mobile peer-to-peer (MP2P) system is one of the typical IoT applications, in which peers share their sensing information. Reciprocity-based incentive mechanisms are widely used to encourage cooperation among peers and maintain robustness of MP2P systems. However, the effectiveness of different reciprocity-based mechanisms is difficult to compare theoretically. In this paper, we propose a general evaluating framework to help design and analyze incentive mechanisms for which reciprocal peers can have different reciprocal policies. Using our proposed framework, the evolution dynamics of multiple incentive policies that coexist in MP2P systems can be analyzed. The simulation results show the system robustness and best strategies in various circumstances. In addition, we consider a most common attack model, whitewashing, in MP2P systems and bring in a small entry fee to defeat whitewashers. The results show that this framework can well defend whitewashing and is more suited for real MP2P systems.