{"title":"日常组网部署","authors":"E. M. R. Oliveira, A. C. Viana","doi":"10.1109/INFCOMW.2014.6849216","DOIUrl":null,"url":null,"abstract":"The careful deployment of hotspots in metropolitan areas allow to maximize WiFi offloading, a viable solution to the recent boost up of mobile data consumption. Our proposed strategy considers routine characteristics present on people's daily trajectories, the space-time interaction between them urban locations, and their transportation modes. Using a reallife metropolitan trace, we show our routine-based strategy guarantees higher offload ratio than the current approach in the literature while using a realistic traffic model.","PeriodicalId":6468,"journal":{"name":"2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","volume":"154 1","pages":"183-184"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Routine-based network deployment\",\"authors\":\"E. M. R. Oliveira, A. C. Viana\",\"doi\":\"10.1109/INFCOMW.2014.6849216\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The careful deployment of hotspots in metropolitan areas allow to maximize WiFi offloading, a viable solution to the recent boost up of mobile data consumption. Our proposed strategy considers routine characteristics present on people's daily trajectories, the space-time interaction between them urban locations, and their transportation modes. Using a reallife metropolitan trace, we show our routine-based strategy guarantees higher offload ratio than the current approach in the literature while using a realistic traffic model.\",\"PeriodicalId\":6468,\"journal\":{\"name\":\"2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)\",\"volume\":\"154 1\",\"pages\":\"183-184\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/INFCOMW.2014.6849216\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/INFCOMW.2014.6849216","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The careful deployment of hotspots in metropolitan areas allow to maximize WiFi offloading, a viable solution to the recent boost up of mobile data consumption. Our proposed strategy considers routine characteristics present on people's daily trajectories, the space-time interaction between them urban locations, and their transportation modes. Using a reallife metropolitan trace, we show our routine-based strategy guarantees higher offload ratio than the current approach in the literature while using a realistic traffic model.