{"title":"SENSTRAC:从移动平台使用跟踪式查询传感器网络的可扩展查询","authors":"Stefan Pleisch, K. Birman","doi":"10.1504/IJSNET.2008.019009","DOIUrl":null,"url":null,"abstract":"Future applications running on mobile platforms will sometimes need to query sensors and track sensor data over time. This paper uses the publish-subscribe paradigm as a natural solution to querying sensors from mobile platforms, and proposes a scalable approach to implement publish-subscribe, driven by the querying application. Our approach is evaluated by simulation, focusing on scalability","PeriodicalId":345003,"journal":{"name":"2006 IEEE International Conference on Mobile Ad Hoc and Sensor Systems","volume":"18 2","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":"{\"title\":\"SENSTRAC: Scalable Querying of SENSor Networks from Mobile Platforms Using TRACking-Style Queries\",\"authors\":\"Stefan Pleisch, K. Birman\",\"doi\":\"10.1504/IJSNET.2008.019009\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Future applications running on mobile platforms will sometimes need to query sensors and track sensor data over time. This paper uses the publish-subscribe paradigm as a natural solution to querying sensors from mobile platforms, and proposes a scalable approach to implement publish-subscribe, driven by the querying application. Our approach is evaluated by simulation, focusing on scalability\",\"PeriodicalId\":345003,\"journal\":{\"name\":\"2006 IEEE International Conference on Mobile Ad Hoc and Sensor Systems\",\"volume\":\"18 2\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE International Conference on Mobile Ad Hoc and Sensor Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/IJSNET.2008.019009\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE International Conference on Mobile Ad Hoc and Sensor Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJSNET.2008.019009","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
SENSTRAC: Scalable Querying of SENSor Networks from Mobile Platforms Using TRACking-Style Queries
Future applications running on mobile platforms will sometimes need to query sensors and track sensor data over time. This paper uses the publish-subscribe paradigm as a natural solution to querying sensors from mobile platforms, and proposes a scalable approach to implement publish-subscribe, driven by the querying application. Our approach is evaluated by simulation, focusing on scalability