Simulation of ACO Technique Using NS2 Simulator

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2015 by IJETT Journal
Volume-23 Number-8
Year of Publication : 2015
Authors : Shruthi V Raj, Hemanth S R
DOI :  10.14445/22315381/IJETT-V23P277

Citation 

Shruthi V Raj, Hemanth S R"Simulation of ACO Technique Using NS2 Simulator", International Journal of Engineering Trends and Technology (IJETT), V23(8),403-406 May 2015. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
A wireless network such as mobile ad-hoc network consists of a collection of mobile nodes where the communication is not limited to a certain region. The network is a infrastructure less or without central administration, its a kind of very flexible network. Where nodes are freely moving and its difficult to locate the path between two nodes. Mobile ad-hoc network are suitable for temporary communication links. Therefore it is one of the big challenge to locate a path between communication end nodes. where as in order to fulfil this task suitable routing protocol is needed. This paper presents a solution for discovering path between source & destination nodes in the mobile-ad hoc network. And the protocol is based on swarm intelligence which especially on ant colony metaphor. Termite is an innovative algorithm for routing in communication network, it is well known swarm intelligence algorithm. Termite is an adaptive, distributed, mobile agents based algorithm which enables the swarm to become more intelligent & serve the purpose. Some of parameters which is used to examine are packet delays, throughtpu, Shows better results of throughput as compared to other existing algorithm. so termite algorithm is promising for routing of data in communication network.

 References

[1] Mesut Gunes et.all., “The ant colony based routing algorithm for MANETS. International workshop on adhoc networking(IWAHN), 2002.
[2] Iliya Enchev pervasive et.all., “MANET routing protocols based on swarm intelligence” Dept of informatics, University of Fribourg, june 2011.
[3] Sharvani g.s et.all., “Development of swarm intelligence systems for for MANETS” international journal on recent trends in engineering & technology vol 05, No.01, Mar 2011
[4] Deepika chaudhary “ Bee-inspired routing protocols for MANET” journal of emerging technologies in web intelligence vol 2,no.2 may 2010
[5] Bibhash Roy et.all, “Ant colony based routing for mobile ad-hoc networks towards improved qos. Tripura institute of technology ,Tripura, india 2010.
[6] Anuj k. Gupta et.all., “Computation of pheromone values in AntNet algorithm”, international journel computer network & information security, 2012,9,47-54 http://www.mecs-press.org/
[7] Manjula Poojary et.all., “Ant colony optimization routing to mobile adhoc networks in urban environments”, IJCSIT vol2(6), 2011
[8] Ms.Shradha.A.et.all., “ Comparison of ant based routing protocols in adhoc networks” I.S of advanced research in CS & software engineering,volume issue 4, april 2012
[9] Rajeshwar Singh et.all., “Swarm intelligence based approach for routing in mobile ad-hoc network”, I.J of science of technology education research vol.1(7).147-153 dec 2010.
[10] Adamu Mzungeru et.all., “Performance of termite-hill routing algorithm on sink mobility in wirless sensor networks” ,proceedings of international conference on swarm intelligence, http://ro.ecu.edu.au/ecuworks2012/

Keywords
Routing algorithm, Swarm intelligence, Mobile agents, Pheromone, MANET, ant colony optimization.