Bio-Inspired Optimisation Algorithm for Congestion Control in Computer Networking

Dublin Core

Title

Bio-Inspired Optimisation Algorithm for Congestion Control in Computer Networking

Creator

Richard Nana Nketsiah, Israel Edem Agbehadji, Richard C Millham, Emmanuel Freeman

Description

The development of internet technology gives consumers the chance to transfer packets across networks instantly. Such developments in internet technology are anticipated to ease congestion. Despite this, the majority of firms were bound by the expense of deploying cutting-edge technology or updating network infrastructure, necessitating efficient congestion management. Inherent distribution optimisation, which requires each source device on the network to continually adjust to its traffic load using the feedback information received or acknowledged from another source device, is unfortunately the problem with congestion management. This research addresses the issue of continually adjusting to a network traffic load by presenting a unique optimisation technique. This strategy is based on the features and hunting behaviour of foxes and rabbits on wild grass. A computer network congestion optimisation …

Publisher

Springer Nature Switzerland

Date

2023

Source

https://scholar.google.com/citations?view_op=view_citation&hl=en&user=rQvaaoMAAAAJ&cstart=20&pagesize=80&citation_for_view=rQvaaoMAAAAJ:kNdYIx-mwKoC

Language

English