{"title":"以最小的成本为车辆网络提供多种基础设施辅助部署","authors":"Che Nan, Liu Shenghui, Liu Shijia","doi":"10.1109/MIC.2013.6758042","DOIUrl":null,"url":null,"abstract":"Due to prohibitive deployment and operational costs, it is not practical to large deployments of WLANs. On this account, we introduce a new Infrastructure, i.e., WiFi to Mesh (W2M), which used to improve the performance of vehicular internet. We then design a most economic deployment method that maximizes the worst case contact opportunity with the minimum cost. In particular, we use a new metric, i.e., Contact Opportunity, as the quality of service of a Vehicular network. Such a metric is closely related to average throughput that a vehicle might obtain while coming within WiFi range. The problem of finding a minimum infrastructure deployment cost of APs and W2Ms depending on the quality of service (QoS) for Vehicular Internet supported by a variety of infrastructures turns out to be NP-hard. The efficiency of our strategy is demonstrated via simulations using data from real-world road networks.","PeriodicalId":404630,"journal":{"name":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","volume":"120 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Multiple infrastructure-assisted deployment for vehicular networks with minimum cost\",\"authors\":\"Che Nan, Liu Shenghui, Liu Shijia\",\"doi\":\"10.1109/MIC.2013.6758042\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Due to prohibitive deployment and operational costs, it is not practical to large deployments of WLANs. On this account, we introduce a new Infrastructure, i.e., WiFi to Mesh (W2M), which used to improve the performance of vehicular internet. We then design a most economic deployment method that maximizes the worst case contact opportunity with the minimum cost. In particular, we use a new metric, i.e., Contact Opportunity, as the quality of service of a Vehicular network. Such a metric is closely related to average throughput that a vehicle might obtain while coming within WiFi range. The problem of finding a minimum infrastructure deployment cost of APs and W2Ms depending on the quality of service (QoS) for Vehicular Internet supported by a variety of infrastructures turns out to be NP-hard. The efficiency of our strategy is demonstrated via simulations using data from real-world road networks.\",\"PeriodicalId\":404630,\"journal\":{\"name\":\"Proceedings of 2013 2nd International Conference on Measurement, Information and Control\",\"volume\":\"120 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of 2013 2nd International Conference on Measurement, Information and Control\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MIC.2013.6758042\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of 2013 2nd International Conference on Measurement, Information and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MIC.2013.6758042","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Multiple infrastructure-assisted deployment for vehicular networks with minimum cost
Due to prohibitive deployment and operational costs, it is not practical to large deployments of WLANs. On this account, we introduce a new Infrastructure, i.e., WiFi to Mesh (W2M), which used to improve the performance of vehicular internet. We then design a most economic deployment method that maximizes the worst case contact opportunity with the minimum cost. In particular, we use a new metric, i.e., Contact Opportunity, as the quality of service of a Vehicular network. Such a metric is closely related to average throughput that a vehicle might obtain while coming within WiFi range. The problem of finding a minimum infrastructure deployment cost of APs and W2Ms depending on the quality of service (QoS) for Vehicular Internet supported by a variety of infrastructures turns out to be NP-hard. The efficiency of our strategy is demonstrated via simulations using data from real-world road networks.