{"title":"普适计算环境中的位置检测策略","authors":"S. Fischmeister, G. Menkhaus, Alexander Stumpfl","doi":"10.1109/PERCOM.2003.1192750","DOIUrl":null,"url":null,"abstract":"Pervasive computing environments accommodate interconnected and communicating mobile devices. Mobility is a vital aspect of everyday life and technology must offer support for moving users, objects, and devices. Their growing number has strong implications on the bandwidth of wireless and wired networks. Network bandwidth becomes a scare resource and its efficient use is crucial for the quality of service in pervasive computing. In this article we study process models for detecting location changes of moving objects and their effect on the network bandwidth. We simulate a scenario of 10/sup 4/ moving objects for a period of 10/sup 7/ time cycles while monitoring the quality of service with respect to network bandwidth for different location detection strategies. The simulation shows that the class of strategies implementing a synchronous model offers better quality of service than the timed model. We conclude the article with a set of guidelines for the application of the strategies we have investigated.","PeriodicalId":230787,"journal":{"name":"Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003).","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Location-detection strategies in pervasive computing environments\",\"authors\":\"S. Fischmeister, G. Menkhaus, Alexander Stumpfl\",\"doi\":\"10.1109/PERCOM.2003.1192750\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Pervasive computing environments accommodate interconnected and communicating mobile devices. Mobility is a vital aspect of everyday life and technology must offer support for moving users, objects, and devices. Their growing number has strong implications on the bandwidth of wireless and wired networks. Network bandwidth becomes a scare resource and its efficient use is crucial for the quality of service in pervasive computing. In this article we study process models for detecting location changes of moving objects and their effect on the network bandwidth. We simulate a scenario of 10/sup 4/ moving objects for a period of 10/sup 7/ time cycles while monitoring the quality of service with respect to network bandwidth for different location detection strategies. The simulation shows that the class of strategies implementing a synchronous model offers better quality of service than the timed model. We conclude the article with a set of guidelines for the application of the strategies we have investigated.\",\"PeriodicalId\":230787,\"journal\":{\"name\":\"Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003).\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-03-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003).\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PERCOM.2003.1192750\",\"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 the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003).","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PERCOM.2003.1192750","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Location-detection strategies in pervasive computing environments
Pervasive computing environments accommodate interconnected and communicating mobile devices. Mobility is a vital aspect of everyday life and technology must offer support for moving users, objects, and devices. Their growing number has strong implications on the bandwidth of wireless and wired networks. Network bandwidth becomes a scare resource and its efficient use is crucial for the quality of service in pervasive computing. In this article we study process models for detecting location changes of moving objects and their effect on the network bandwidth. We simulate a scenario of 10/sup 4/ moving objects for a period of 10/sup 7/ time cycles while monitoring the quality of service with respect to network bandwidth for different location detection strategies. The simulation shows that the class of strategies implementing a synchronous model offers better quality of service than the timed model. We conclude the article with a set of guidelines for the application of the strategies we have investigated.