文献详情
Event-based k-nearest neighbors query processing over distributed sensory data using fuzzy sets
文献类型：期刊
通讯作者：Li, YL (reprint author), Zhejiang Univ Technol, Coll Comp & Technol, Hangzhou 310023, Zhejiang, Peoples R China.
期刊名称：SOFT COMPUTING影响因子和分区
年：2019
卷：23
期：2
页码：483-495
ISSN：1432-7643
关键词：K-nearest neighbors (kNN); Event detection; Fuzzy sets; Energy efficiency; Sensor network
所属部门：信息学院
摘要：K-nearest neighbor (kNN) query is an effective way to extract information of interest from distributed sensing devices. Most of the existing kNN query processing approaches rely on using raw sensor readings, which is costly in terms of communication and time overhead. This paper investigates the event-based kNN query problem in distributed sensor systems and proposes a novel e-kNN query scheme using fuzzy sets. Our key technique is that linguistic e-kNN event information instead of raw sensory d ...More
K-nearest neighbor (kNN) query is an effective way to extract information of interest from distributed sensing devices. Most of the existing kNN query processing approaches rely on using raw sensor readings, which is costly in terms of communication and time overhead. This paper investigates the event-based kNN query problem in distributed sensor systems and proposes a novel e-kNN query scheme using fuzzy sets. Our key technique is that linguistic e-kNN event information instead of raw sensory data is used for e-kNN information storage and in-networks kNN query processing, which is very beneficial to energy efficiency. In addition, event confidence-based grid storage method and e-kNN query processing algorithm are devised for e-kNN information storage and retrieval, respectively. Experimental results based on real-life data set further show that our e-kNN scheme outperforms the conventional methods in terms of communication cost and response time with accuracy guarantee. ...Hide

DOI：10.1007/s00500-017-2821-2
百度学术：Event-based k-nearest neighbors query processing over distributed sensory data using fuzzy sets
语言：外文
被引频次：1
人气指数：3
浏览次数：3
基金：National Natural Science Foundation of ChinaNational Natural Science Foundation of China [61502421, 61532021]; Zhejiang Provincial Natural Science Foundation of ChinaNatural Science Foundation of Zhejiang Province [LY15F020026, LY15F020025]
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