By Topic

A Fault Tolerant Channel Allocation Scheme for Mobile Hosts in GMPLS-Based Wavelength-Switched Optical Networks

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
$33 $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

4 Author(s)
Jae-Il Cho ; Dept. of Electr. & Comput. Eng., SungKyunKwan Univ., Suwon, South Korea ; Kiheon Park ; Jeom Goo Kim ; Hyuncheol Kim

The mobile networks must have an ability to maintain an acceptable level of service during network failures to provide high resilience against service failures. This paper presents an eccentric fault tolerant path grouping scheme that can achieve mobility independent Quality of Service (QoS) guaranteed services in Generalized Multiprotocol Label Switching (GMPLS) based wavelength-switched optical networks. To make this possible, we propose a path allocation and restoration strategy called "Reverse Shared Risk Link Group (RSRLG)" and demonstrates how this concept can be applied to minimize recovery contention in mobile networks and to assess the network convergence associated with failurs. To reflect little more actual situations, we assume that the bandwidth of mobile connection requests can be some fraction of the lightpath capacity. Simulation results show that the proposed recovery scheme outperforms other schemes with fewer signaling traffics and contention probability. Very fast restorability can be accomplished for multiple failures. We also has developed an analytical model and performed analysis for the proposed scheme in terms of two performance factors: mean system time and reservation blocking probability.

Published in:

2011 International Conference on Information Science and Applications

Date of Conference:

26-29 April 2011