流行病路由协议及其增强的统一研究

Zhenxin Feng, Kwan-Wu Chin
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引用次数: 27

摘要

流行协议是一类路由范式,由于其简单、低延迟和很少或不依赖特殊节点而在容延迟网络(DTNs)中具有广泛的应用。为此,对其性能的全面研究将成为未来协议设计者的重要指导。遗憾的是,迄今为止,还没有研究流行病路由协议的工作,使用一个共同的框架,使用相同的流动性模型和参数客观地评估其性能。为此,我们研究了四类流行路由协议。即P-Q流行病、生存时间流行病、接触计数流行病和免疫表流行病。我们的研究结果表明,在P-Q流行病中使用的传播概率可能会增加延迟并降低传递比。除此之外,不正确的TTL值会导致过早丢弃捆包,从而对交货率产生不可忽视的影响。流行病与EC遭受高缓冲区占用率和长时间的交付延迟。此外,免疫流行病的管理费用也很高。因此,我们提出了三种增强方法:动态TTL、EC+TTL和累积免疫来解决上述限制。我们的研究结果表明,动态TTL可将交付率提高20%以上,EC+TTL可将缓冲区占用率降低40%,并且在高负载下可将交付率提高至少40%。累积免疫降低了节点的缓冲占用水平至少15%,同时减少了一个数量级的信号开销。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Unified Study of Epidemic Routing Protocols and their Enhancements
Epidemic protocols belong to a class of routing paradigm that have wide ranging applications in Delay Tolerant Networks (DTNs) due to their simplicity, low delays, and little to no reliance on special nodes. To this end, a comprehensive study of their performance will serve as an important guide to future protocol designers. Unfortunately, to date, there is no work that studies epidemic routing protocols using a common framework that evaluates their performance objectively using the same mobility model and parameters. To this end, we study four categories of epidemic routing protocols. Namely, P-Q epidemic, epidemic with Time-To-Live (TTL), epidemic with Encounter Count (EC) and epidemic with immunity table. Our results show that the probability of transmissions as used in P-Q epidemic may increase delay and decrease delivery ratio. Apart from that, an incorrect TTL value leads to premature discarding of bundles, and thereby, has a non negligible impact on delivery ratio. Epidemic with EC suffers from high buffer occupancy levels and long delivery delays. In addition, epidemic with immunity suffers from high overheads. Henceforth, we propose three enhancements: dynamic TTL, EC+TTL and cumulative immunity to address the aforementioned limitations. Our results show that dynamic TTL improves delivery ratio by more than 20%, EC+TTL reduces buffer occupancy level by 40%, and improve delivery ratio by at least 40% at high loads. Cumulative immunity reduces the buffer occupancy level of nodes by at least 15% whilst in curing an order of magnitude less signaling overheads.
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