关键词: 态势感知, 融合机制, 大数据, 可信度

Abstract:

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.

Key words: situation awareness, fusion mechanism, big data, trust