{"title":"无线传感器网络数据流聚类查询处理器集成研究","authors":"Uwe Röhm, Bernhard Scholz, M. Gaber","doi":"10.1109/MDM.2007.70","DOIUrl":null,"url":null,"abstract":"We discuss the integration of on-line data stream clustering into a distributed query processor for wireless sensor networks (WSNs). Our approach is to combine an adaptive clustering algorithm with in-network data processing by introducing specialised query operators that implement stateful stream processing. We have implemented a testbed for an on-line clustering algorithm as part of a query processing system for the Sun SPOT sensor network platform. The paper discusses the design alternatives for continuous stream clustering in WSNs and for the integration of the resource-awareness to be able to trade result accuracy for resource consumption.","PeriodicalId":393767,"journal":{"name":"2007 International Conference on Mobile Data Management","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2007-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"On the Integration of Data Stream Clustering into a Query Processor for Wireless Sensor Networks\",\"authors\":\"Uwe Röhm, Bernhard Scholz, M. Gaber\",\"doi\":\"10.1109/MDM.2007.70\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We discuss the integration of on-line data stream clustering into a distributed query processor for wireless sensor networks (WSNs). Our approach is to combine an adaptive clustering algorithm with in-network data processing by introducing specialised query operators that implement stateful stream processing. We have implemented a testbed for an on-line clustering algorithm as part of a query processing system for the Sun SPOT sensor network platform. The paper discusses the design alternatives for continuous stream clustering in WSNs and for the integration of the resource-awareness to be able to trade result accuracy for resource consumption.\",\"PeriodicalId\":393767,\"journal\":{\"name\":\"2007 International Conference on Mobile Data Management\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 International Conference on Mobile Data Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MDM.2007.70\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 International Conference on Mobile Data Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MDM.2007.70","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On the Integration of Data Stream Clustering into a Query Processor for Wireless Sensor Networks
We discuss the integration of on-line data stream clustering into a distributed query processor for wireless sensor networks (WSNs). Our approach is to combine an adaptive clustering algorithm with in-network data processing by introducing specialised query operators that implement stateful stream processing. We have implemented a testbed for an on-line clustering algorithm as part of a query processing system for the Sun SPOT sensor network platform. The paper discusses the design alternatives for continuous stream clustering in WSNs and for the integration of the resource-awareness to be able to trade result accuracy for resource consumption.