基于雾计算的可信疏散系统

Thinh Le Vinh, Huan Tran Thien, Trung Nguyen Huu, S. Bouzefrane
{"title":"基于雾计算的可信疏散系统","authors":"Thinh Le Vinh, Huan Tran Thien, Trung Nguyen Huu, S. Bouzefrane","doi":"10.1109/ICSSE58758.2023.10227231","DOIUrl":null,"url":null,"abstract":"Modern office buildings, apartments, and commercial skyscrapers are designed with advanced evacuation systems to ensure people can evacuate quickly and safely during emergencies, such as natural disasters, terrorism, or explosions. However, older buildings, traditional markets, and crowded areas, such as fairs or music tours, often lack efficient and integrated evacuation systems, relying primarily on exit signal panels that do not provide adequate warnings or alternative escape routes. These areas are particularly vulnerable during emergencies, and thus, this article proposes a new model called TEVAC to address these shortcomings. TEVAC is a highly integrated system that utilizes Fog computing to take advantage of its availability, high performance, and the close proximity of IoT devices to provide a trusted and optimal way to help people evacuate dangerous situations. In addition to smart signs that indicate the best escape routes, TEVAC allows users to rely on their smartphones to find the safest direction using local Wi-Fi and broadband cellular networks, supported by Fog computing. By leveraging these technologies, TEVAC can significantly enhance the evacuation process, particularly in areas that lack modern evacuation systems.","PeriodicalId":280745,"journal":{"name":"2023 International Conference on System Science and Engineering (ICSSE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-07-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"TEVAC: Trusted Evacuation System based Fog Computing\",\"authors\":\"Thinh Le Vinh, Huan Tran Thien, Trung Nguyen Huu, S. Bouzefrane\",\"doi\":\"10.1109/ICSSE58758.2023.10227231\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Modern office buildings, apartments, and commercial skyscrapers are designed with advanced evacuation systems to ensure people can evacuate quickly and safely during emergencies, such as natural disasters, terrorism, or explosions. However, older buildings, traditional markets, and crowded areas, such as fairs or music tours, often lack efficient and integrated evacuation systems, relying primarily on exit signal panels that do not provide adequate warnings or alternative escape routes. These areas are particularly vulnerable during emergencies, and thus, this article proposes a new model called TEVAC to address these shortcomings. TEVAC is a highly integrated system that utilizes Fog computing to take advantage of its availability, high performance, and the close proximity of IoT devices to provide a trusted and optimal way to help people evacuate dangerous situations. In addition to smart signs that indicate the best escape routes, TEVAC allows users to rely on their smartphones to find the safest direction using local Wi-Fi and broadband cellular networks, supported by Fog computing. By leveraging these technologies, TEVAC can significantly enhance the evacuation process, particularly in areas that lack modern evacuation systems.\",\"PeriodicalId\":280745,\"journal\":{\"name\":\"2023 International Conference on System Science and Engineering (ICSSE)\",\"volume\":\"6 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2023 International Conference on System Science and Engineering (ICSSE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSE58758.2023.10227231\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on System Science and Engineering (ICSSE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSE58758.2023.10227231","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

现代写字楼、公寓和商业摩天大楼都设计有先进的疏散系统,以确保人们在自然灾害、恐怖主义或爆炸等紧急情况下能够快速安全地撤离。然而,老旧的建筑、传统市场和拥挤的地区,如集市或音乐之旅,往往缺乏有效和综合的疏散系统,主要依靠出口信号板,而这些信号板不能提供足够的警告或其他逃生路线。这些地区在紧急情况下特别脆弱,因此,本文提出了一种称为TEVAC的新模式来解决这些缺点。TEVAC是一个高度集成的系统,它利用雾计算的可用性、高性能和物联网设备的近距离优势,提供一种可信的最佳方式来帮助人们撤离危险情况。除了指示最佳逃生路线的智能标志外,TEVAC还允许用户依靠智能手机使用本地Wi-Fi和宽带蜂窝网络找到最安全的方向,并支持雾计算。通过利用这些技术,TEVAC可以大大提高疏散过程,特别是在缺乏现代疏散系统的地区。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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
TEVAC: Trusted Evacuation System based Fog Computing
Modern office buildings, apartments, and commercial skyscrapers are designed with advanced evacuation systems to ensure people can evacuate quickly and safely during emergencies, such as natural disasters, terrorism, or explosions. However, older buildings, traditional markets, and crowded areas, such as fairs or music tours, often lack efficient and integrated evacuation systems, relying primarily on exit signal panels that do not provide adequate warnings or alternative escape routes. These areas are particularly vulnerable during emergencies, and thus, this article proposes a new model called TEVAC to address these shortcomings. TEVAC is a highly integrated system that utilizes Fog computing to take advantage of its availability, high performance, and the close proximity of IoT devices to provide a trusted and optimal way to help people evacuate dangerous situations. In addition to smart signs that indicate the best escape routes, TEVAC allows users to rely on their smartphones to find the safest direction using local Wi-Fi and broadband cellular networks, supported by Fog computing. By leveraging these technologies, TEVAC can significantly enhance the evacuation process, particularly in areas that lack modern evacuation systems.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Deep Q-Network (DQN) Approach for Automatic Vehicles Applied in the Intelligent Transportation System (ITS) Improvement in Proportional Energy Sharing and DC Bus Voltage Restoring for DC Microgrid in the Islanded Operation Mode A New Buck-Boost Converter Structure With Improved Efficiency Performance of Energy Harvesting Aided Multi-hop Mobile Relay Networks With and Without Using Cooperative Communication A New Novel of Prescribed Optimal Control and Its Application for Smart Damping System
×
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