Resilient network with cognitive wireless network based on DTN for disaster information system in rural areas

Noriki Uchida, Noritaka Kawamura, Goshi Sato, Y. Shibata
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Abstract

Although two years have already passed after the East Japan Great Earthquake in 2011, outstanding topics such as having a resilient network for disasters still remain. The rural areas are considered more likely isolated from others because of limited transportation and network resources compared with the urban areas. In this paper, we introduce the resilient network with cognitive wireless network (CWN) based on delay tolerant networking (DTN) for disaster information system (DIS) in rural areas. In the system, a proper wireless link for each mobile is selected by comparing network parameters such as throughput, jitter, and latency, and transmits data sent by the DTN routing protocol including the Epidemic, Spray and Wait, MaxProp, and PROPHET. The simulation is held according to the GIS map, and the results are ready for discussion for future studies of DTN usages for DIS in rural areas.
基于DTN认知无线网络的农村灾害信息系统弹性网络
虽然2011年东日本大地震已经过去两年了,但诸如建立一个有弹性的灾害应对网络等突出问题仍然存在。与城市地区相比,由于交通和网络资源有限,农村地区被认为更有可能与其他地区隔绝。本文介绍了一种基于容延迟网络(DTN)的农村灾害信息系统弹性网络——认知无线网络(CWN)。系统通过比较吞吐量、抖动、时延等网络参数,为每台移动设备选择合适的无线链路,传输流行病、喷雾和等待、MaxProp、PROPHET等DTN路由协议发送的数据。模拟是根据地理信息系统的地图进行的,其结果已准备好供今后研究在农村地区使用数字通讯网进行讨论。
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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