CFP last date
20 May 2024
Reseach Article

Load balancing and Congestion Control in Mobile Ad-hoc Network using Ant Colony Optimization

by Arun Kumar, Vijay Kumar Katiyar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 97 - Number 22
Year of Publication: 2014
Authors: Arun Kumar, Vijay Kumar Katiyar
10.5120/17143-7810

Arun Kumar, Vijay Kumar Katiyar . Load balancing and Congestion Control in Mobile Ad-hoc Network using Ant Colony Optimization. International Journal of Computer Applications. 97, 22 ( July 2014), 44-48. DOI=10.5120/17143-7810

@article{ 10.5120/17143-7810,
author = { Arun Kumar, Vijay Kumar Katiyar },
title = { Load balancing and Congestion Control in Mobile Ad-hoc Network using Ant Colony Optimization },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 97 },
number = { 22 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 44-48 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume97/number22/17143-7810/ },
doi = { 10.5120/17143-7810 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:24:51.579864+05:30
%A Arun Kumar
%A Vijay Kumar Katiyar
%T Load balancing and Congestion Control in Mobile Ad-hoc Network using Ant Colony Optimization
%J International Journal of Computer Applications
%@ 0975-8887
%V 97
%N 22
%P 44-48
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Within few years Mobile Ad -hoc has fetched more attention due to plug and play infrastructure less network. Mobile Ad hoc wireless networks consist entirely of wireless nodes, placed together in an impromptu manner, i. e. with minimal forethought. All device/nodes have routing capabilities and forward data packets for other devices in multi hop fashion. Device/nodes can enter or leave the system at any time, so that the network topology continuously experiences revisions, modification during deployment as nodes are not fixed but moving. So routing is main problem in MANETs. Ant colony optimization is used to find the ideal solution in terms of the shortest route in a MANETs. In this paper Max-Min ant system, Multi agent Ant Colony algorithm is described. Connection is established on a multi ant net basis to balance the load in the network.

References
  1. Siva Kumar. D and Bhuvaneswaran. R. S. 2007. "Proposal on Multi agent Ants based Routing Algorithm for Mobile Ad-hoc Networks". IJCSNS International Journal of Computer Science and Network Security.
  2. S. Prasad, Y. P. Singh, and C. S. Rai. 2009. " Swarm Based Intelligent Routing for MANETs". IJRTE.
  3. Hamideh Shokrani, Sam Jabbehdari. 2009. "A Survey of Ant Based Routing Algorithms for Mobile Ad-hoc Networks". International Conference on Signal Processing Systems.
  4. Al Dahoud Ali, Mohamed A. Belal and Moh'd Belal Al Zoubi. 2010. "Load Balancing of Distributed Systems Based on Multiple Ant Colonies Optimization". AJASSP.
  5. C. E. Perkins and E. M. Royer. 1999. Ad-hoc on-demand distance vector routing. 2nd IEEE Workshop on Mobile Computing Systems and Applications.
  6. M. Dorigo. 2006. "Ant Colony Optimization". University of Pretoria Etd, du Plessis J.
  7. V. Laxmi, Lavina Jain and M. S. Gaur. 2006. "Ant Colony Optimization based Routing on NS-2". International Conference on Wireless Communication and Sensor Networks (WCSN).
  8. Payman Arabshahi, Andrew Gray, Ioannis Kassabalidis and Arindam Das. 2004. "Adaptive Routing in Wireless Communication Network using Swarm Intelligence". Jet Propulsion Laboratory and University of Washington.
  9. Kwang Mong Sim and Weng Hong Sun, Member IEEE. 2003. "Ant Colony Optimization for Routing and Load Balancing: Survey and New Direction", System and Humans.
  10. Sundaram Rajagopalam and Chien-Chung Shen, 2003. "A Routing Suite for Mobile Ad hoc Networks using Swarm Intelligence". Department of Computer and Information Sciences, University of Delaware, Newark.
Index Terms

Computer Science
Information Sciences

Keywords

MANET Ant colony optimization routing Ant net Multi-agent Max-Min ant system.