{"title":"支持传感器网络的多维距离查询","authors":"Yu-Chi Chung, I-Fang Su, Chiang Lee","doi":"10.1109/ICDCS.2007.143","DOIUrl":null,"url":null,"abstract":"This paper presents the design of Pool, an efficient and scalable data storage scheme for supporting multidimensional queries. The foundation of the work that makes the Pool approach superior in executing multi-dimensional queries is that it provides a novel and elegant higher dimension to two-dimensional data mapping mechanism. Our performance study proves the efficiency of the design.","PeriodicalId":170317,"journal":{"name":"27th International Conference on Distributed Computing Systems (ICDCS '07)","volume":"255 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":"{\"title\":\"Supporting Multi-Dimensional Range Query for Sensor Networks\",\"authors\":\"Yu-Chi Chung, I-Fang Su, Chiang Lee\",\"doi\":\"10.1109/ICDCS.2007.143\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents the design of Pool, an efficient and scalable data storage scheme for supporting multidimensional queries. The foundation of the work that makes the Pool approach superior in executing multi-dimensional queries is that it provides a novel and elegant higher dimension to two-dimensional data mapping mechanism. Our performance study proves the efficiency of the design.\",\"PeriodicalId\":170317,\"journal\":{\"name\":\"27th International Conference on Distributed Computing Systems (ICDCS '07)\",\"volume\":\"255 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"11\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"27th International Conference on Distributed Computing Systems (ICDCS '07)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICDCS.2007.143\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"27th International Conference on Distributed Computing Systems (ICDCS '07)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDCS.2007.143","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Supporting Multi-Dimensional Range Query for Sensor Networks
This paper presents the design of Pool, an efficient and scalable data storage scheme for supporting multidimensional queries. The foundation of the work that makes the Pool approach superior in executing multi-dimensional queries is that it provides a novel and elegant higher dimension to two-dimensional data mapping mechanism. Our performance study proves the efficiency of the design.