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     Research Journal of Applied Sciences, Engineering and Technology


More Improvement by Helping Ant to Fault-Tolerant Heuristic Routing Algorithm in Mesh Networks

1Alireza Soleimany and 2Somayeh Azmoodeh
1Department of Computer Engineering, Meshkin Shahr Branch, Islaminc Azad University, Meshkin Shahr, Iran
2Department of Computer Engineering, Amirkabir University, Tehran, Iran
Research Journal of Applied Sciences, Engineering and Technology  2013  4:622-630
http://dx.doi.org/10.19026/rjaset.6.4172  |  © The Author(s) 2013
Received: August 29, 2012  |  Accepted: October 22, 2012  |  Published: June 20, 2013

Abstract

Routing with fault-tolerant mechanisms has a crucial effect on the fast exchange of information in variety of networks including mesh networks. This study attempts to choose an optimal path in terms of fault tolerance to transmit messages from source to destination while taking into account faulty nodes in such mesh networks. In this study, we take advantage of ant colony optimization algorithm to propose Adaptive Heuristic Routing algorithms to this problem. We use color pheromone ants to overcome problem of fail-recover behavior of network components. The proposed method is compared with fault-tolerant routing algorithm in mesh networks using the balanced ring. Simulation results depict that this method reacted quickly in terms of network faults, meanwhile in each time step the data can choose the optimal path to reach their destination. In this study, we improve performance of the proposed method using update ants to inform other nodes about the discovered shortest path. Simulation results show that the proposed method dramaticcaly increase efficiency of routing mechanism in mesh networks.

Keywords:

Ant colony, computer networks, fault-tolerant, mesh networks, network routing, update ant,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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