Decongesting Opportunistic Social-based Forwarding
Decongesting Opportunistic Social-based Forwarding
复制标题
缓解基于社交的机会转发的拥塞
DOI：
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发表时间：
2010
期刊：
影响因子：
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通讯作者：
M. Radenkovic
中科院分区：
文献类型：
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作者：
Andrew Grundy;M. Radenkovic
基于社交网络的机会网络转发算法，如口袋交换网络，主要关注吞吐量和效率。在本文中，我们试图提高我们的理解如何转发的启发式的基础上，有利于连接导致不公平的负载分布，这反过来又导致拥塞。我们提出了一些指标，这有助于平衡负载分布，积极防止拥塞。我们优化和过滤现有指标，如中心性和相似性，并引入可用性和性能反馈机制。我们陈述一个初步的效用公式，结合我们的观察，使我们能够选择一个合适的下一跳。我们目前的初步建模结果表明，我们的细化技术提高了负载分布的平衡，减少对个别节点的压力。
Social network based forwarding algorithms for opportunistic networks, such as Pocket Switched Networks, are primarily concerned with throughput and efficiency. In this paper we seek to improve our understanding of how forwarding based on a heuristic that favours connectivity causes unfair load distribution, which in turn leads to congestion. We propose a number of metrics, that help balance the load distribution and actively prevent congestion. We optimise and filter existing metrics such as Centrality and Similarity, and introduce Availability and Performance feedback mechanisms. We state a preliminary Utility formula that combines our observations allowing us to select a suitable next hop. We present initial modelling results showing that our refinement techniques improve the balance of load distribution, reducing the stress on individual nodes.