Title: Optimisation of optical burst switched networks using multi-objective BAT algorithm

Authors: Harpreet Kaur; Munish Rattan

Addresses: I.K. Gujral Punjab Technical University Jalandhar, Kapurthala, Punjab, India; Department of Electronics and Communication Engineering, Baba Banda Singh Bahadur Engineering College, Fatehgarh Sahib, Punjab, India ' Department of Electronics and Communication, Guru Nanak Dev Engineering College, Ludhiana, Punjab, India

Abstract: There is a growing demand for OBS (optical burst switching) networks, which is based on the concept of providing switching of data bursts without any intermediate switching and O/E/O conversions. The OBS technology is very economical and flexible to create new definitions for networking processes. OBS networks can also help in creating several types of new services which involve more bandwidth usage. The present research paper focuses on the OBS network and its benefits. The major problems of burst contention and congestion control using OBS networks are addressed in this research. In this paper, a possible solution to burst contention and congestion control is presented by the use of an algorithm, called BAT algorithm. The multi-objective optimisation problem is solved using a multi-objective BAT algorithm (MOBA). The proposed algorithm presented effective results to maximise the traffic demand, burst loss ratio minimisation, and reduction in overall burst block probability.

Keywords: optical burst switching; OBS; networks; BAT algorithm; burst contention; burst loss ratio; congestion control; burst blocking probability.

DOI: 10.1504/IJCAET.2021.115950

International Journal of Computer Aided Engineering and Technology, 2021 Vol.15 No.1, pp.104 - 119

Received: 28 Feb 2018
Accepted: 08 Jan 2019

Published online: 12 May 2021 *

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