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Can I read Trust Mechanism of Feedback Trust Weight in Multimedia Network on EtoBox?
Trust Mechanism of Feedback Trust Weight in Multimedia Network by Zhihan Lv; Houbing Song is a Computer Science article available to read on EtoBox.
What is Trust Mechanism of Feedback Trust Weight in Multimedia Network about?
It is necessary to solve the inaccurate data arising from data reliability ignored by most data fusion algorithms drawing upon collaborative filtering and fuzzy network theory. Therefore, a model is constructed based on the collaborative filtering algorithm and fuzzy network theory to calculate the node trust value as the weight of weighted data fusion. First, a FTWDF (Feedback Trust Weighted for Data Fusion) is proposed. Second, EEFA (Efficiency unequal Fuzzy clustering Algorithm ) is introduced into FTWDF considering the defects of the clustering structure caused by ignoring the randomness of node energy consumption and cluster head selection in the practical application of the existing data fusion algorithm. Besides, the fuzzy logic is applied to cluster head selection and node clustering. Finally, an FTWDF-EEFA clustering algorithm is constructed for generating candidate cluster head nodes, which is verified by simulation experiments. The comparative analysis reveals that the accuracy of the FTWDF-EEFA clustering algorithm is 4.1% higher than that of the TMDF (Trust Multiple attributes Decision-making-based data Fusion) algorithm, and 8.3% higher than that of LDTS ( Larger Data
Who reads Trust Mechanism of Feedback Trust Weight in Multimedia Network?
It is typically read by researchers, students, and practitioners in Computer Science.
- Author
- Zhihan Lv; Houbing Song
- Publisher
- ACM
- Published
- 2021
- Language
- EN
- Field
- Computer Science (Physical Sciences)