A SDN-based fine-grained measurement and modeling approach to vehicular communication network traffic

2019 ◽  
pp. e4092 ◽  
Author(s):  
Liuwei Huo ◽  
Dingde Jiang ◽  
Xiangnan Zhu ◽  
Yuqing Wang ◽  
Zhihan Lv ◽  
...  
Keyword(s):  
Communication Network ◽  
Network Traffic ◽  
Vehicular Communication ◽  
Fine Grained ◽  
Modeling Approach

METHOD OF INCREASING THE STABILITY OF THE INFORMATION AND COMMUNICATION NETWORK UNDER THE INFLUENCE OF THE ENEMY BASED ON THE DETERMINATION OF THE REFERENCE NETWORK VERSION

2020 ◽  
Author(s):  
С.А. БАГРЕЦОВ ◽  
Э.А. БУДАРИН ◽  
О.С. ЛАУТА ◽  
М.В. МИТРОФАНОВ
Keyword(s):  
Communication Network ◽  
Information Flow ◽  
Network Traffic ◽  
Communication Systems ◽  
Reference Network ◽  
Computing Systems ◽  
Electronic Warfare ◽  
Information And Communication ◽  
The Stability

Сетевой трафик, проходящий через современные вычислительные системы, представляет собой огромный информационный поток, который содержит сведения различной степени важности. Показана необходимость использования наиболее рациональных приемов повышения устойчивости сети в радиоэлектронной борьбе, чтобы заставить противника затрачивать больше времени на подбор новых принципов воздействия на системы связи. Network traffic passing through modern computing systems is a huge information flow, which contains information of varying degrees of importance. It is shown the necessity of using the most rational methods of increasing the stability of the network in electronic warfare to force the enemy to spend more time on selecting new principles of influence on communication systems.

Prediction Based on PSO-SVM in Power Communication Network Traffic

2014 ◽  
Vol 602-605 ◽  
pp. 2889-2892
Author(s):  
Zhen Dong Zhao ◽  
Rui Ju Xiao ◽  
Meng Meng Pei ◽  
Yi Zhou
Keyword(s):  
Communication Network ◽  
Electric Power ◽  
Network Traffic ◽  
Prediction Method ◽  
Parameters Optimization ◽  
Traffic Prediction ◽  
Model Parameters ◽  
Economy Running ◽  
Important Basis

Power communication network traffic prediction is important basis of safely assigning and economically running. The forecasting precision will directly affect the reliability, economy running and supplying power quality of power system. Paper first expounds the electric power communication network traffic prediction research present situation, summarized the characteristics of the forecast and the influencing factors, summarizes the commonly used method, is put forward to the return of the electric power communication network traffic based on libsvm prediction method, and the PSO (particle swarm optimization) algorithm is adopted to model parameters optimization, with the test set error as the decision, based on the optimization of model parameters, choice, makes the prediction precision is improved.

Sign in / Sign up

Export Citation Format

Share Document