Open AccessResearch on Consistency of IoT Data Communication Based on Eigenvector Vector
Author(s) -
Xiaoqiang Tang,
Fei Gao,
Yuxiang Ji,
Shengfei Wang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1748/3/032063
Subject(s) - consistency (knowledge bases) , node (physics) , computer science , eigenvalues and eigenvectors , internet of things , the internet , data consistency , value (mathematics) , protocol (science) , data mining , communications protocol , algorithm , computer network , distributed computing , artificial intelligence , machine learning , engineering , computer security , world wide web , medicine , physics , alternative medicine , structural engineering , pathology , quantum mechanics
Aiming at the large deviation of the traditional Internet of things (IoT) communication consistency algorithm, this paper designs the IoT information communication consistency algorithm. According to the obtained eigenvectors, the communication consensus protocol is generated, and the truncation factor is introduced to solve the problem that the cooperative variable deviation between the new node or restart node and the eigenvector is too large in the process of consistency, so as to realize the information communication consistency of the Internet of things. The experimental results show that the deviation value of this method is lower than that of the traditional algorithm, and is close to the standard value. This design ensures the consistency of the information communication of the Internet of things, and has certain application significance.