Open AccessEarly Warning Information Release Algorithm of Internet of Vehicles Based on AHP and Fuzzy Evaluation Model
Author(s) -
Jing Xu,
Juan Wang,
Xue Li,
Meng Shen
Publication year - 2020
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/428/1/012058
Subject(s) - warning system , computer science , analytic hierarchy process , the internet , fuzzy logic , computer security , scheme (mathematics) , operations research , data mining , telecommunications , artificial intelligence , engineering , world wide web , mathematics , mathematical analysis
The security problems caused by the intelligent vehicle network emerge in endlessly. However, the research on the information release of the existing vehicle network focuses on the release mode of the early warning information, without considering the importance division of the early warning information. Aiming at these problems, message queuing telemetry transport (mqtt) is introduced to transmit the network data of the Internet of vehicles, analytic hierarchy process (AHP) is introduced to divide the factors influencing the early warning information into levels, fuzzy evaluation model is introduced to evaluate the importance of the early warning information, and the design is adapted to the characteristics of the Internet of vehicles. Alert information publishing scheme. The experimental results show that the average arrival time of high-level emergency warning information divided by AHP and fuzzy evaluation model increases by nearly 50% with the number of warning information, and the proportion of high-level emergency warning information response within the threshold time is three times higher, which shows that the scheme plays an important role in the distribution of the Internet of vehicles warning information.