Multi-Reciprocity Policies Co-Evolution Based Incentive Evaluating Framework for Mobile P2P Systems

• Main Authors: Kun Lu, Shiyu Wang, Guanghai Cui, Mingchu Li, Hannan Bin-Liaqat
• Format: Article
• Language: English
• Published: IEEE 2017-01-01
• Series: IEEE Access
• Subjects: Co-evolution; reciprocity-based incentive mechanism; evolutionary game; MP2P; evaluating framework
• Online Access: https://ieeexplore.ieee.org/document/7752844/

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.