Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

Queueing analysis of a class of star-interconnected networks under Markov modulated output process modeling

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

1 Author(s)
Stavrakakis, I. ; Dept. of Electr. Eng. & Comput. Sci., Vermont Univ., Burlington, VT, USA

A Markov modulated process is developed for the exact characterization of the output process of a class of random access networks (C-RANs) and the mean packet delay induced by the central node of a star interconnecting scheme is calculated. The latter is obtained through an approximate analysis of an appropriate queueing system under Markov modulated arrivals. It is shown that the ALOHA network is a C-RAN. ALOHA networks interconnected according to a star topology are studied and delay results are obtained. These results are compared with those obtained under Bernoulli approximation on the network output processes and simulations

Published in:

Communications, IEEE Transactions on  (Volume:40 ,  Issue: 8 )