학술논문

Spectrum Defragmentation in Elastic Optical Networks: Two Approaches With Metaheuristics
Document Type
Periodical
Source
IEEE Access Access, IEEE. 7:119835-119843 2019
Subject
Aerospace
Bioengineering
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineered Materials, Dielectrics and Plasmas
Engineering Profession
Fields, Waves and Electromagnetics
General Topics for Engineers
Geoscience
Nuclear Engineering
Photonics and Electrooptics
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Measurement
Bandwidth
Frequency selective surfaces
Optical fiber networks
Optical wavelength conversion
Optical saturation
Ant colony optimization
elastic optical networks
genetic algorithms
metaheuristics
spectrum defragmentation
Language
ISSN
2169-3536
Abstract
This work introduces two novel approaches for the selection of active lightpaths that perform a spectrum defragmentation process in elastic optical networks (EONs). The algorithms, named DF-Ants and DF-Gen , are based on ant colony optimization and genetic metaheuristics, respectively, and their objective is to minimize the fragmentation of the entire network, evaluated with two different fragmentation metrics. In this way, the blocking probability is expected to be minimized with the fewest number of reconfigured possible connections. Furthermore, a new performance metric for spectrum defragmentation is also presented, named weighted blocking rate (WBR). Unicast traffic simulations were conducted, showing the feasibility of the proposal.