Inferring network infrastructural behaviour during disasters

Z. Gilani, A. Sathiaseelan, J. Crowcroft, V. Pejović
{"title":"Inferring network infrastructural behaviour during disasters","authors":"Z. Gilani, A. Sathiaseelan, J. Crowcroft, V. Pejović","doi":"10.1109/CCNC.2016.7444855","DOIUrl":null,"url":null,"abstract":"An unexpected increase in natural disasters has prompted a large interest in governments and organisations to utilise ICT for many different purposes such as preparation, impact mitigation, loss reduction and relief efforts. This paper presents initial work on studying disaster scenarios from device level perspective to characterise network infrastructural behaviour during extraordinary situations. We find connectivity challenges during disasters and observe sharp decline of quality metrics and loss of station quantity between ordinary and extraordinary time periods. We also make distinctions between usual and unusual behaviour seen during ordinary and extraordinary situations.","PeriodicalId":399247,"journal":{"name":"2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)","volume":"214 0 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCNC.2016.7444855","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

An unexpected increase in natural disasters has prompted a large interest in governments and organisations to utilise ICT for many different purposes such as preparation, impact mitigation, loss reduction and relief efforts. This paper presents initial work on studying disaster scenarios from device level perspective to characterise network infrastructural behaviour during extraordinary situations. We find connectivity challenges during disasters and observe sharp decline of quality metrics and loss of station quantity between ordinary and extraordinary time periods. We also make distinctions between usual and unusual behaviour seen during ordinary and extraordinary situations.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
在灾难期间推断网络基础设施的行为
自然灾害的意外增加促使各国政府和组织对利用信息通信技术实现许多不同目的产生了浓厚兴趣,例如防灾准备、减轻影响、减少损失和救灾工作。本文介绍了从设备级角度研究灾难场景的初步工作,以表征异常情况下网络基础设施的行为。我们发现了灾害期间的连通性挑战,并观察到在正常和特殊时间段之间的质量指标急剧下降和站点数量的损失。我们还会区分在普通和特殊情况下看到的正常和不寻常的行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Scalable topology-based flow entry management in data center Cost effective digital signage system using low cost information device Efficient tuning methodologies for a network payload anomaly inspection scheme Real-time communication in low-power mobile wireless networks State-aware allocation of reliable Virtual Software Defined Networks based on bandwidth and energy
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1