An adaptive model for spectrum assignment in elastic optical networks
by Sridhar Iyer
International Journal of Communication Networks and Distributed Systems (IJCNDS), Vol. 24, No. 1, 2020

Abstract: For an elastic optical network (EON), considering cases of various lightpaths pairs requiring different actual guard bands, we propose an adaptive spectrum assignment (ASA) model which formulates the problem such that, it is possible to investigate as to how spectrum resources can be efficiently assigned in the considered cases. Initially, ASA is formulated as an integer linear program (ILP), followed by its simplification to an ordered-ASA (O-ASA) problem which is solvable in polynomial time. To solve ASA in tractable time, we propose a dual stage heuristic algorithm in which, an initial solution is obtained in the first stage, followed by a second stage which resorts to the use of random optimisation for improving the initial solution's quality. We conduct simulations considering various graph types and realistic network topology(s), and the obtained results show that, in comparison to ILP model, the proposed dual stage heuristic algorithm finds almost optimal solutions for the ASA.

Online publication date: Mon, 02-Dec-2019

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Communication Networks and Distributed Systems (IJCNDS):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com