The mechanism of situation data fusion based on trust in wireless sensor network

被引：0
作者：
Li, Fang-Wei [1 ]
Nie, Yi-Fang [1 ]
Liu, Fan [1 ]
Zhu, Jiang [1 ]
机构：
[1] Chongqing Key Lab. of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing
来源：
Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications | 2015年 / 38卷 / 05期
关键词：
Big data; Fusion mechanism; Situation awareness; Trust;
D O I：
10.13190/j.jbupt.2015.05.013
中图分类号：
学科分类号：
摘要：
To cope with the problem captured nodes causing the deviation, the situation data fusion mechanism based on trust was presented. It makes trust awareness rule based on historical trust or data correlation, and guarantees consistency in three stages. Firstly, in event detection, after collecting data, it detects events through most trust majority rule to enhance accuracy. Secondly, during data fusion, it uses data filter rule to improve reliability. Finally, in consistency detection, it utilizes the consistency detection rule to reduce communication traffic, simultaneously judging the consistence of centers. The new mechanism can suppress misrepresentation and enhance the performance when abnormity is more than normal ones. It can also reduce the deviation between real value and fusion data. Simulation verifies the reliability and validity. © 2015, Beijing University of Posts and Telecommunications. All right reserved.
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页码：71 / 76
页数：5
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