{"title":"基础设施辅助地理围栏:具有瘦移动客户端和智能服务器的主动基于位置的服务","authors":"S. R. Garzon, B. Deva","doi":"10.1109/MobileCloud.2015.31","DOIUrl":null,"url":null,"abstract":"With the increasing popularity of smart phones, location-based services became a hot topic and a great number of solutions were presented over the last years. The majority of applications are based on the idea to present location-specific information in case the smartphone user asks for it. A relatively small amount of applications are dealing with geo-notifications that are intended to inform the smartphone user proactively about location-specific information in case a dedicated zone is entered or left. The technology behind proactive location-based services is called Geofencing and it is mainly implemented and executed at the mobile device. This paper presents a new approach to offload this resource intensive process of monitoring the user's location into the infrastructure. The mobile device is thereby considered to be a thin client that is mainly responsible to locate itself whereas the continuous comparison of the mobile's position with a large set of dedicated zones, called geophones, is executed within an environment with lower resource constraints. A prototypical implementation of a thin client as well as the corresponding location processing unit within the infrastructure gets introduced, discussed and evaluated under different environmental conditions.","PeriodicalId":373443,"journal":{"name":"2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering","volume":"492 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"20","resultStr":"{\"title\":\"Infrastructure-Assisted Geofencing: Proactive Location-Based Services with Thin Mobile Clients and Smart Servers\",\"authors\":\"S. R. Garzon, B. Deva\",\"doi\":\"10.1109/MobileCloud.2015.31\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the increasing popularity of smart phones, location-based services became a hot topic and a great number of solutions were presented over the last years. The majority of applications are based on the idea to present location-specific information in case the smartphone user asks for it. A relatively small amount of applications are dealing with geo-notifications that are intended to inform the smartphone user proactively about location-specific information in case a dedicated zone is entered or left. The technology behind proactive location-based services is called Geofencing and it is mainly implemented and executed at the mobile device. This paper presents a new approach to offload this resource intensive process of monitoring the user's location into the infrastructure. The mobile device is thereby considered to be a thin client that is mainly responsible to locate itself whereas the continuous comparison of the mobile's position with a large set of dedicated zones, called geophones, is executed within an environment with lower resource constraints. A prototypical implementation of a thin client as well as the corresponding location processing unit within the infrastructure gets introduced, discussed and evaluated under different environmental conditions.\",\"PeriodicalId\":373443,\"journal\":{\"name\":\"2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering\",\"volume\":\"492 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"20\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MobileCloud.2015.31\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 3rd IEEE International Conference on Mobile Cloud Computing, Services, and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MobileCloud.2015.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Infrastructure-Assisted Geofencing: Proactive Location-Based Services with Thin Mobile Clients and Smart Servers
With the increasing popularity of smart phones, location-based services became a hot topic and a great number of solutions were presented over the last years. The majority of applications are based on the idea to present location-specific information in case the smartphone user asks for it. A relatively small amount of applications are dealing with geo-notifications that are intended to inform the smartphone user proactively about location-specific information in case a dedicated zone is entered or left. The technology behind proactive location-based services is called Geofencing and it is mainly implemented and executed at the mobile device. This paper presents a new approach to offload this resource intensive process of monitoring the user's location into the infrastructure. The mobile device is thereby considered to be a thin client that is mainly responsible to locate itself whereas the continuous comparison of the mobile's position with a large set of dedicated zones, called geophones, is executed within an environment with lower resource constraints. A prototypical implementation of a thin client as well as the corresponding location processing unit within the infrastructure gets introduced, discussed and evaluated under different environmental conditions.