Neural fuzzy connection admission controller and method in a nod

Multiplex communications – Data flow congestion prevention or control – Control of data admission to the network

Patent

Rate now

  [ 0.00 ] – not rated yet Voters 0   Comments 0

Details

370235, 370252, H04J 116, H04J 314

Patent

active

060672870

ABSTRACT:
A neural fuzzy connection admission controller and method is provided for controlling admission of a new connecting call in a node of a communication network. The neural fuzzy connection admission controller is an inference engine based on a multi-layered neural fuzzy network. The neural fuzzy connection admission controller provides a decision signal Z in response to an available bandwidth capacity C.sub.a, a congestion control action y and a cell loss ratio P.sub.l. Since the decision signal Z is obtained via a learning process, so the decision is closer to a desired result.

REFERENCES:
patent: 5179556 (1993-01-01), Turner
patent: 5341366 (1994-08-01), Soumiya et al.
patent: 5519689 (1996-05-01), Kim
patent: 5737313 (1998-04-01), Kolarov et al.
patent: 5784358 (1998-07-01), Smith et al.
patent: 5802040 (1998-09-01), Park et al.
patent: 5812526 (1998-09-01), Chang et al.
patent: 5872771 (1999-02-01), Park et al.
Ray-Guang Cheng and Chung-Ju Chang, "Design of a Fuzzy Traffic Controller for ATM Networks," IEEE/ACM Trans Networking, vol. 4, No. 3, pp. 460-469 (Jun. 1996).

LandOfFree

Say what you really think

Search LandOfFree.com for the USA inventors and patents. Rate them and share your experience with other people.

Rating

Neural fuzzy connection admission controller and method in a nod does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Neural fuzzy connection admission controller and method in a nod, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Neural fuzzy connection admission controller and method in a nod will most certainly appreciate the feedback.

Rate now

     

Profile ID: LFUS-PAI-O-1841901

  Search
All data on this website is collected from public sources. Our data reflects the most accurate information available at the time of publication.