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}
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.