标题:Approach of measuring PoC of context using limited self-feedback in context-aware systems
作者:Ji, Mingyang ;Xu, Hongji ;Wang, Leitao ;Dang, Juan ;Xu, Zhengzheng ;Fang, Haiteng
作者机构:[Ji, Mingyang ;Xu, Hongji ;Wang, Leitao ;Dang, Juan ;Xu, Zhengzheng ;Fang, Haiteng ] School of Information Science and Engineering, Shandong Universit 更多
通讯作者:Xu, Hongji
来源:IET Wireless Sensor Systems
出版年:2016
卷:6
期:5
页码:158-165
DOI:10.1049/iet-wss.2015.0132
摘要:In context-aware systems (CASs), due to various reasons such as faulty sensors, the context information received from a context provider does not always represent accurately the reality, and incorrect contexts often lead to conflicts in multi-source conditions. The need of accurate data fusion results in research on the parameter - probability of correctness (PoC), which denotes the probability that a piece of information is correct. This study focuses on precise evaluation of PoC and utilises this parameter to accomplish more accurate data fusion ultimately. The authors propose a novel approach based on limited self-feedback by taking the output of data fusion process as criterion to evaluate PoC automatically and dynamically. Supervisory mechanism is used to ensure the credibility of self-feedback data. The updated PoC will affect the accuracy of the following rounds of data fusion based on Dempster-Shafer (DS) theory. Experiments testify from multiple perspectives that compared with the traditional user feedback-based method, this self-assessment-based approach can achieve more precise evaluation of PoC with less human interaction and effectively improve the accuracy of data fusion through PoC-based DS theory. Thus, the information or services provided by CASs will be more accurate and efficient. © The Institution of Engineering and Technology 2016.
收录类别:EI;SCOPUS
Scopus被引频次:1
资源类型:期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84988596418&doi=10.1049%2fiet-wss.2015.0132&partnerID=40&md5=4e533759d0e5a8c8a993ca080966a5ae
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