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一种基于ELM预测的NDN移动性支持方法
引用本文:曲桦,李岩松,赵季红,赵东旭,赵建龙. 一种基于ELM预测的NDN移动性支持方法[J]. 电信科学, 2017, 33(12): 53-65. DOI: 10.11959/j.issn.1000-801.2017329
作者姓名:曲桦  李岩松  赵季红  赵东旭  赵建龙
作者单位:1. 西安交通大学电子与信息工程学院,陕西 西安 710049;2. 西安交通大学软件学院,陕西 西安 710049;3. 西安邮电大学通信与信息工程学院,陕西 西安 710061
基金项目:国家自然科学基金资助项目,The National Natural Science Foundation of China
摘    要:命名数据网络(NDN)架构是信息中心网络思想指导下的新一代网络架构,移动性支持方法是命名数据网络架构下的主要研究点。传统的生产者端移动性支持方法都采取事后应对的方式,对消费者而言,该方法无法保证切换过程的透明性。针对上述问题,提出了一种基于ELM预测的移动性支持方法PB,该方法对原有前向转发表进行修改,并增加了新的控制消息分组使得网络中相应节点可以针对预测算法的结果进行提前调整,并且兴趣分组多播的方式使得无论何时发生切换,生产者终端都能立即对兴趣分组进行响应,同时方法针对预测可能失败的问题提供了快速恢复网络原有状态的方法。仿真实验表明,本文提出的PB移动性支持方法相比于RP和IP移动性支持方法能显著降低切换时延,减少因切换导致的分组丢失。

关 键 词:命名数据网络  移动性支持  ELM预测  切换时延  分组丢失  

A mobility support method based on ELM prediction for named data networking
Hua QU,Yansong LI,Jihong ZHAO,Dongxu ZHAO,Jianlong ZHAO. A mobility support method based on ELM prediction for named data networking[J]. Telecommunications Science, 2017, 33(12): 53-65. DOI: 10.11959/j.issn.1000-801.2017329
Authors:Hua QU  Yansong LI  Jihong ZHAO  Dongxu ZHAO  Jianlong ZHAO
Affiliation:1. School of Electronic and Information Engineering,Xi’an Jiaotong University,Xi’an 710049,China;2. School of Software Engineering,Xi’an Jiaotong University,Xi’an 710049,China;3. School of Communication and Information Engineering,Xi’an University of Posts and Telecommunication,Xi’an 710061,China
Abstract:Named data networking (NDN) is a new generation network architecture under the guidance of information center network,and the mobility support method is the main research point in NDN.In the traditional way of the producer-side mobility support method,the post-response mode is adopted,which makes it impossible to realize the transparency of the switching process.A mobility support method called PB based on ELM prediction was proposed.In the method,the original forwarding interest base was modified and a new control message packet was added so that the corresponding node in the network could adjust the result of the prediction algorithm in advance,and the switch of the producer terminal could respond to the interest package at any time by means of interest packet multicast.At the same time,the method provided a way to quickly restore the original state of the network for the problem that the prediction may fail.The simulation results show that the proposed PB mobility support method can reduce the handoff latency and the packet loss caused by handoff compared with the RP and IP mobility support methods.
Keywords:named data networking  mobility support  extreme learning machine prediction  handoff latency  packet loss  
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