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Research Article Open access CC BY 4.0

Solving Network Routing Problem Using Artificial Intelligent Techniques

Ameen Oloduowo, Akande Hakeem Babalola, Aruleba Kehinde Daniel

Journal of Advances in Mathematics and Computer Science · pp. 1–9 · Published 22 Jun 2016

10.9734/BJMCS/2016/27033

Abstract

The rapid revolution of communication networks requires a solution of network routing problem to be addressed in packet switched network. In the recent years, researchers have been solving routing problem in other to maintain continuous network transmission without any loss of packets. Until now research has shown that most routing devices get distorted when new nodes are added, shortest path and new direction need to be determined when connections goes down in between the network nodes, congestion control and delay factor needs to be put in mind when finding solution to the problem so as to ensure smooth network transmission. In other to solve these problems, Ant colony optimization techniques is used and improved. The Algorithm is simulated using Visual Basic.Net 2012 (VB 11.0) object oriented language. Experimental result show that our method allows network to activate new route if there is service time out, congestion or bottleneck in the existing route and shortest path will also be determined. Several Tests are carried out to ensure the efficiency of the algorithm; Mathematical expression is also generated to locate the route path in this study.Network routing

Network routing artificial intelligence ant colony optimization techniques shortest path algorithm.

Cited by 3

Improving Optimization Prowess of Ant Colony Algorithm Using Bat Inspired Algorithm

Hakeem Babalola Akande, Oluwakemi Christiana Abikoye, Oluwatobi Noah Akande · 2022 5th Information Technology for Education and Development (ITED) · 2022

Optimization of Routing in Smart Grids Using Intelligent Techniques

K Deepa, Meenakshi S. Khurana · SSRN Electronic Journal · 2018

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