{"title":"基于本地可访问系统的信息传递与采集系统","authors":"B. Ojetunde, T. Sakano, Yoshinori Suzuki","doi":"10.1109/ict-dm52643.2021.9664068","DOIUrl":null,"url":null,"abstract":"This paper proposes a disaster information collection and delivery approach using locally accessible cloud system (LACS) in an infrastructureless environment such as a disaster area. Specifically, LACS is deployed to each evacuation center in the aftermath of a large-scale disaster to quickly and locally restore communication network and essential services. Furthermore, in order to reduce the time taken to deliver and collect information in a disaster affected area, a movable LACS (i.e., a movable LACS is a LACS deployed in a vehicle) from the city office or local command center tour each evacuation center to collect/deliver information to/from the users. Our experimental results suggest that LACS is useful in collecting and delivery of urgent and important disaster information to users within the affected disaster areas. We estimate the time it will take a movable LACS to deliver/collect information from an evacuation center. According to the results, it takes an average of 34 seconds to 6 minutes to deliver information to the LACS server when the data capacity is increased from 1 GB to 10 GB. On the other hand, it takes an average of 3 minutes to 25 minutes to collect information when the data capacity is increased from 1 GB to 10 GB. In the future, we will consider implementation of our method in the quasi-real situations.","PeriodicalId":337000,"journal":{"name":"2021 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)","volume":"435 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Information Delivery and Collection System Based on Locally Accessible System\",\"authors\":\"B. Ojetunde, T. Sakano, Yoshinori Suzuki\",\"doi\":\"10.1109/ict-dm52643.2021.9664068\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a disaster information collection and delivery approach using locally accessible cloud system (LACS) in an infrastructureless environment such as a disaster area. Specifically, LACS is deployed to each evacuation center in the aftermath of a large-scale disaster to quickly and locally restore communication network and essential services. Furthermore, in order to reduce the time taken to deliver and collect information in a disaster affected area, a movable LACS (i.e., a movable LACS is a LACS deployed in a vehicle) from the city office or local command center tour each evacuation center to collect/deliver information to/from the users. Our experimental results suggest that LACS is useful in collecting and delivery of urgent and important disaster information to users within the affected disaster areas. We estimate the time it will take a movable LACS to deliver/collect information from an evacuation center. According to the results, it takes an average of 34 seconds to 6 minutes to deliver information to the LACS server when the data capacity is increased from 1 GB to 10 GB. On the other hand, it takes an average of 3 minutes to 25 minutes to collect information when the data capacity is increased from 1 GB to 10 GB. In the future, we will consider implementation of our method in the quasi-real situations.\",\"PeriodicalId\":337000,\"journal\":{\"name\":\"2021 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)\",\"volume\":\"435 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ict-dm52643.2021.9664068\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 International Conference on Information and Communication Technologies for Disaster Management (ICT-DM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ict-dm52643.2021.9664068","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Information Delivery and Collection System Based on Locally Accessible System
This paper proposes a disaster information collection and delivery approach using locally accessible cloud system (LACS) in an infrastructureless environment such as a disaster area. Specifically, LACS is deployed to each evacuation center in the aftermath of a large-scale disaster to quickly and locally restore communication network and essential services. Furthermore, in order to reduce the time taken to deliver and collect information in a disaster affected area, a movable LACS (i.e., a movable LACS is a LACS deployed in a vehicle) from the city office or local command center tour each evacuation center to collect/deliver information to/from the users. Our experimental results suggest that LACS is useful in collecting and delivery of urgent and important disaster information to users within the affected disaster areas. We estimate the time it will take a movable LACS to deliver/collect information from an evacuation center. According to the results, it takes an average of 34 seconds to 6 minutes to deliver information to the LACS server when the data capacity is increased from 1 GB to 10 GB. On the other hand, it takes an average of 3 minutes to 25 minutes to collect information when the data capacity is increased from 1 GB to 10 GB. In the future, we will consider implementation of our method in the quasi-real situations.