Implementation and Evaluation of Never Die Network System for Disaster Prevention Based on OpenFlow and Cognitive Wireless Technology

Goshi Sato, Noriki Uchida, N. Shiratori, Y. Shibata
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引用次数: 1

Abstract

By large tsunami damage due to the Great East Japan Earthquake, many existing network system stopped functioning in various factors. Even under such circumstances, some of the information communication method that including satellite communications, it was able to recover the Network Connectivity, actually quickly and effectively. Although there are some valid information communicating method in disaster, however the information communication method has a strong and weak points, when using each a single unit, it is not possible to follow the disaster area of the situations to be constantly changing. In addition, the emergency information communication system there may not be available in the battery out and do not know how to use in case of emergency. Therefore, it is important to design a systems available without a disaster by providing enough Network Capability. We develop a Never Die Network (NDN) system that is a new network system to achieve both the Network Capability in the normal and Network Connectivity in disaster based on the experience of Great East Japan Earthquake. In this paper, we propose a method for the system to autonomously derive the optimum packet flow by measuring the communication state such as throughput and packet loss in a system such as to considering multiple different access networks. We prepared a test bed that implements a prototype system, and evaluated based on a disaster scenario.
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基于OpenFlow和认知无线技术的防灾永不死网络系统的实现与评估
由于东日本大地震造成的巨大海啸破坏,许多现有的网络系统因各种因素而停止运行。即使在这样的情况下,包括卫星通信在内的一些信息通信方式,也能够迅速有效地恢复网络连接。虽然灾害中有一些有效的信息通信方法,但是信息通信方法各有优缺点,在使用单个单元时,不可能跟随灾区的情况不断变化。此外,应急信息通信系统中也有可能没有可用的电池出来而不知道如何在紧急情况下使用。因此,通过提供足够的网络功能来设计一个没有灾难的可用系统是很重要的。NDN (Never Die Network)系统是在东日本大地震的基础上,为实现正常情况下的网络能力和灾害情况下的网络连通性而开发的一种新型网络系统。本文在考虑多个不同接入网的情况下,提出了一种通过测量系统中吞吐量和丢包等通信状态来自动导出最优包流的方法。我们准备了一个实现原型系统的测试平台,并根据灾难场景进行评估。
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