Noriki Uchida, Noritaka Kawamura, Goshi Sato, Y. Shibata
{"title":"Resilient network with cognitive wireless network based on DTN for disaster information system in rural areas","authors":"Noriki Uchida, Noritaka Kawamura, Goshi Sato, Y. Shibata","doi":"10.1504/IJAIS.2014.061044","DOIUrl":null,"url":null,"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.","PeriodicalId":383612,"journal":{"name":"International Journal of Adaptive and Innovative Systems","volume":"11 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Adaptive and Innovative Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJAIS.2014.061044","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.