{"title":"基于阈值的无线传感器网络连续查询处理","authors":"Jun-Zhao Sun","doi":"10.1109/PIMRC.2008.4699747","DOIUrl":null,"url":null,"abstract":"This paper presents a threshold based query processing method for continuous data gathering in sensor networks. The method is based on the flexible setting of thresholds and the analysis on the content to be sent over the network. Thresholds represent the accuracy requirement of the application issuing the queries. Thus at each single sensor node, instead of direct delivery of each result data, data communication is needed only when the current data is out of the range constrained by the thresholds. A series of static and dynamic algorithms are proposed for the flexible setting of threshold values. The performance of the proposed algorithms shows that the proposed methods can achieve better performance than without performing the optimization.","PeriodicalId":125554,"journal":{"name":"2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications","volume":"67 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Threshold-based processing for continuous query in wireless sensor networks\",\"authors\":\"Jun-Zhao Sun\",\"doi\":\"10.1109/PIMRC.2008.4699747\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a threshold based query processing method for continuous data gathering in sensor networks. The method is based on the flexible setting of thresholds and the analysis on the content to be sent over the network. Thresholds represent the accuracy requirement of the application issuing the queries. Thus at each single sensor node, instead of direct delivery of each result data, data communication is needed only when the current data is out of the range constrained by the thresholds. A series of static and dynamic algorithms are proposed for the flexible setting of threshold values. The performance of the proposed algorithms shows that the proposed methods can achieve better performance than without performing the optimization.\",\"PeriodicalId\":125554,\"journal\":{\"name\":\"2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications\",\"volume\":\"67 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-12-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PIMRC.2008.4699747\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIMRC.2008.4699747","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Threshold-based processing for continuous query in wireless sensor networks
This paper presents a threshold based query processing method for continuous data gathering in sensor networks. The method is based on the flexible setting of thresholds and the analysis on the content to be sent over the network. Thresholds represent the accuracy requirement of the application issuing the queries. Thus at each single sensor node, instead of direct delivery of each result data, data communication is needed only when the current data is out of the range constrained by the thresholds. A series of static and dynamic algorithms are proposed for the flexible setting of threshold values. The performance of the proposed algorithms shows that the proposed methods can achieve better performance than without performing the optimization.