文章基本信息

标题：A Novel Weighting Method for Context Inference
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作者：Donghyok Suh ; Chang-Keun Ryu
期刊名称：International Journal of Multimedia and Ubiquitous Engineering
印刷版ISSN：1975-0080
出版年度：2013
卷号：8
期号：1
出版社：SERSC
摘要：Dempster-Shafer Evidence Theory (DST) plays an important role in multi-sensor data fusion. In this paper, we propose weighting method based on event information sensor of aggregation for context awareness in wireless sensor networks. Context inference in wireless sensor networks has to use weighting method, and context inference based on sensor aggregation due to structure feature of wireless sensor network. We propose weight method based on event frequency of the sensor and the repetitive of event report sensor at the continuous time slot. The validity of reasoning through context inference in wireless sensor network can improve.
关键词：Dempster-Shafer Evidence Theory; Multi-sensor data fusion; Wireless Sensor Networks; Weight