Lexicographical order Max-Min fair source quota allocation in mobile Delay-Tolerant Networks

Dongliang Xie, Xin Wang, Linhui Ma
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引用次数: 3

Abstract

There is a big potential to enable more efficient data dissemination in mobile Delay-Tolerant Networks (DTNs) with the concurrent use of multi-copy forwarding and social metrics. However, this also leads to the possibility of severely overloading the relay nodes with high social metrics, and consequent performance degradation. We propose a fair source quota allocation algorithm to effectively alleviate the load while ensuring their dissemination fairness, i.e, Lexicographical order Max-Min Fairness(LMMF). In this paper, A fair source quota allocation algorithm along with an implementation scheme was presented to take advantage of the features of social networks and social forwarding for higher delivery performance. Extensive simulations based on trace data demonstrate that our mechanism greatly reduces the delivery-ratio degradation caused by uneven load while ensuring fairness among the network users.
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移动容延迟网络中词典顺序最大最小公平源配额分配
通过同时使用多副本转发和社交指标,在移动容忍延迟网络(DTNs)中实现更有效的数据传播具有很大的潜力。然而,这也可能导致具有高社交指标的中继节点严重超载,从而导致性能下降。我们提出了一种公平的源配额分配算法,在保证其传播公平性的同时有效地减轻负载,即字典顺序最大最小公平性(LMMF)。本文提出了一种公平的资源配额分配算法及其实现方案,以利用社交网络和社交转发的特点来提高分发性能。基于跟踪数据的大量模拟表明,我们的机制大大降低了由负载不均匀引起的投递率下降,同时确保了网络用户之间的公平性。
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