Efficient and adaptive congestion control for heterogeneous delay-tolerant networks

Efficient and adaptive congestion control for heterogeneous delay-tolerant networks
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异构延迟容忍网络的高效自适应拥塞控制

DOI:
10.1016/j.adhoc.2012.03.013
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发表时间:
2012
期刊:
影响因子:
4.8
通讯作者:
Radenkovic M
Radenkovic M
中科院分区:
计算机科学2区
文献类型:
--
作者:
Radenkovic M

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检测和处理容迟网络中的拥塞是一个重要而又具有挑战性的问题。目前的DTN转发算法通常将流量导向更多的中心节点,以最大限度地提高交付率并最小化延迟,但随着流量需求的增加,这些节点可能会变得饱和和不可用。我们提出CafRep,一个自适应的拥塞感知协议,检测和反应拥塞的节点和拥塞的网络部分,通过使用隐式混合接触和资源拥塞算法。CafRep利用基于局部相对效用的方法将流量从网络的拥塞程度较高的部分卸载到拥塞程度较低的部分,并在具有非均匀拥塞水平的网络的不同部分中以自适应的较低速率进行复制。我们广泛评估了我们的工作对基准和竞争协议在一系列指标超过三个真实的连接和GPS跟踪,如萨西[44],旧金山弗朗西斯科出租车[45]和Infocom 2006 [33]。我们表明,CafRep表现良好,独立于网络连接和移动模式,并始终优于国家的最先进的DTN转发算法,面对日益增长的拥塞率。CafRep保持更高的可用性和成功率,同时保持低延迟、丢包率和交付成本。我们在两个应用场景中测试CafRep,固定速率流量和真实的世界Facebook应用程序流量需求,表明无论CafRep旨在提供的流量类型如何,它都可以减少拥塞并提高转发性能。
Detecting and dealing with congestion in delay-tolerant networks (DTNs) is an important and challenging problem. Current DTN forwarding algorithms typically direct traffic towards more central nodes in order to maximise delivery ratios and minimise delays, but as traffic demands increase these nodes may become saturated and unusable. We propose CafRep, an adaptive congestion aware protocol that detects and reacts to congested nodes and congested parts of the network by using implicit hybrid contact and resources congestion heuristics. CafRep exploits localised relative utility based approach to offload the traffic from more to less congested parts of the network, and to replicate at adaptively lower rate in different parts of the network with non-uniform congestion levels. We extensively evaluate our work against benchmark and competitive protocols across a range of metrics over three real connectivity and GPS traces such as Sassy [44], San Francisco Cabs [45] and Infocom 2006 [33]. We show that CafRep performs well, independent of network connectivity and mobility patterns, and consistently outperforms the state-of-the-art DTN forwarding algorithms in the face of increasing rates of congestion. CafRep maintains higher availability and success ratios while keeping low delays, packet loss rates and delivery cost. We test CafRep in the presence of two application scenarios, with fixed rate traffic and with real world Facebook application traffic demands, showing that regardless of the type of traffic CafRep aims to deliver, it reduces congestion and improves forwarding performance.
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