Topology-aware overlay network in mobile IP environment

Q4 Business, Management and Accounting
Lifeng Le
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引用次数: 0

Abstract

An overlay network is a computer network which is built on the top of an underlying physical network. With the mobile internet access becoming the leading tool, overlay must be changing with different IP addresses, which may incur a large number of unnecessary update messages to overlay network. In recent years, mobile IP is being spread widely as one of fundamental protocols of mobile internet, which can guarantee overlay network unchangeable. However, the overlay efficiency may be affected negatively due to the mismatch between overlay and mobile IP network. In this paper, we present a topology-aware overlay network model. In the model, we proposed near-home principle applied in the joining procedure in mobile IPv4 environment and near-ROSP principle in mobile IPv6 environment. In our simulation, our proposed near-home principle and near-ROSP principle could do better to alleviate the mismatch between overlay and mobile IP network.
移动IP环境下的拓扑感知覆盖网络
覆盖网络是建立在底层物理网络之上的计算机网络。随着移动互联网接入成为主流工具,覆盖层必须随着IP地址的不同而变化,这可能会给覆盖网络带来大量不必要的更新消息。近年来,移动IP作为移动互联网的基础协议之一得到了广泛的应用,它可以保证覆盖网络的不变性。然而,由于覆盖与移动IP网络的不匹配,可能会对覆盖效率产生负面影响。本文提出了一种拓扑感知的覆盖网络模型。在模型中,我们提出了移动IPv4环境下的近家原则和移动IPv6环境下的近rosp原则。在我们的仿真中,我们提出的近家原则和近rosp原则可以更好地缓解覆盖和移动IP网络之间的不匹配。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Mobile Network Design and Innovation
International Journal of Mobile Network Design and Innovation Business, Management and Accounting-Management Information Systems
CiteScore
0.30
自引率
0.00%
发文量
0
期刊介绍: The IJMNDI addresses the state-of-the-art in computerisation for the deployment and operation of current and future wireless networks. Following the trend in many other engineering disciplines, intelligent and automatic computer software has become the critical factor for obtaining high performance network solutions that meet the objectives of both the network subscriber and operator. Characteristically, high performance and innovative techniques are required to address computationally intensive radio engineering planning problems while providing optimised solutions and knowledge which will enhance the deployment and operation of expensive wireless resources.
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