Earticle

초록

영어

To evaluate the wireless network condition on moving medial vehicles and make reasonable judgment among multiple network channels, an automatic network judgment method is presented for unstable communication environment based on adaptive network speed analysis and prediction method. Historical network observation data are collected; time series analysis method and ARMA model are employed to build prediction model using historical data statistics with periodical update mechanism. Predicted network speed value is then compared with real speed value and a criterion to identify the condition of network is summarized from comparison result analysis. Experiments are conducted in both normal network and interfered network situations. Empirical studies results show that the adaptive prediction method could be used for wireless network speed prediction on moving vehicles. Under different network environments, the fit value of each group of data varies and this value could be used for network problem identification.

목차

Abstract
 1. Introduction
 2. Problem Formulation
 3. Adaptive Network Prediction Method Using ARMA Model
  3.1. ARMA Model
  3.2. Network Speed Prediction and Evaluation
  3.3. Coefficients Estimation
  3.4. Adaptive Network Prediction Model Update Method
 4. Network Judgment Procedure Based on Adaptive Prediction Method
  4.1. Network Analysis and Judgment Based On Speed Prediction
  4.2. Automatic Network Prediction and Judgment Procedure
 5. Second and Following Pages Empirical Studies
  5.1. Experiment Settings
  5.2. Experiments on Network Prediction Using Time Series Analysis
  5.3. Experiments on Network Judgment Based On Prediction Result
 6. Conclusion and Future Work
 Acknowledgements
 References

키워드

저자

• Zhihao Zheng [ Chongqing Institute of Green and Intelligent Technology, ChongQing,China ]
• Pan He [ Chongqing Institute of Green and Intelligent Technology, ChongQing,China ]
• Jiashun Ren [ The Third Military Medical University, XinQiao Hospital, ChongQing,China ]
• Yu Chen [ The Third Military Medical University, XinQiao Hospital, ChongQing,China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605