Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2008, Vol. 31 ›› Issue (5): 61-64.doi: 10.13190/jbupt.200805.61.333

• Papers • Previous Articles     Next Articles

Predictive Polling Mechanism on EPON

ZHAGN Jin-Yu1, Huang Cheng-Fu2, Wang Zhong2, LIANG Man-Gui1   

  1. 1. School of Computer and Information Technology, Beijing Jiaotong University, Beijing 100044, China;
    2. China Cable Television Network Limited Corporation, Beijing 100045, China
  • Received:2007-08-12 Revised:1900-01-01 Online:2008-10-30 Published:2008-10-30
  • Contact: ZHAGN Jin-Yu

Abstract:

The mechanism forecasts the traffic for many cycles through the prediction function of interpolating polynomial produced by the reports of many key cycles, and grants many cycles at a time. Not only can it save bandwidth, but also reduce the data packet delay. A knowledge support system(KSS)is set up. The key cycle number and predictive cycle number is optimized by the differential coefficient (DC)optimizing method, the adaptive factors of the non-lineal prediction function are optimized by the neural network. Simulation verifies its merits very well.

Key words: ethernet passive optical network, neural network, polling, optimize

CLC Number: