Towards Opportunistic Resource Sharing in Mobile Social Networks: an Evolutionary Game Theoretic Approach

Pengyuan Du, Seunghyun Yoo, Qi Zhao, Muhao Chen, M. Gerla
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引用次数: 2

Abstract

In mobile social networks, the success of resource sharing depends on a high level of cooperations. The motivation of this work is to seek conditions under which cooperation prevails without additional incentive mechanisms such as credit and reputation-based schemes. We apply the Evolutionary Game Theory framework to investigate the formation of cooperation in opportunistic resource sharing. First, we extend the existing Small World In Motion mobility model to preserve real-world localized mobility patterns. On top of the mobility model, a game theoretic model tailored for resource sharing is developed. Preliminary simulation results show that high user cooperation rate emerges when the cost of resource sharing is sufficiently small, even if the Nash Equilibrium of the resource sharing game is non-cooperation. Moreover, we discovered that heterogeneous user mobility patterns promote cooperation.
移动社交网络中的机会主义资源共享:一种进化博弈论方法
在移动社交网络中,资源共享的成功取决于高水平的合作。这项工作的动机是寻求在没有诸如基于信用和声誉的计划等额外激励机制的情况下开展合作的条件。本文运用进化博弈论的理论框架,研究机会主义资源共享中合作的形成。首先,我们扩展了现有的Small World In Motion移动模型,以保留真实世界的局部移动模式。在移动性模型的基础上,建立了适合资源共享的博弈论模型。初步仿真结果表明,即使资源共享博弈的纳什均衡是不合作的,当资源共享成本足够小时,也会出现较高的用户合作率。此外,我们发现异质的用户移动模式促进了合作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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