CFP last date
20 December 2024
Reseach Article

Optimization of Enhanced Ant Colony Optimization Algorithm using Quad-Constrained FANTs and Multi-Criteria based BANTs in Mobile Adhoc Network

by Mohit Sood, Tanu Preet Singh
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 115 - Number 5
Year of Publication: 2015
Authors: Mohit Sood, Tanu Preet Singh
10.5120/20149-2281

Mohit Sood, Tanu Preet Singh . Optimization of Enhanced Ant Colony Optimization Algorithm using Quad-Constrained FANTs and Multi-Criteria based BANTs in Mobile Adhoc Network. International Journal of Computer Applications. 115, 5 ( April 2015), 32-40. DOI=10.5120/20149-2281

@article{ 10.5120/20149-2281,
author = { Mohit Sood, Tanu Preet Singh },
title = { Optimization of Enhanced Ant Colony Optimization Algorithm using Quad-Constrained FANTs and Multi-Criteria based BANTs in Mobile Adhoc Network },
journal = { International Journal of Computer Applications },
issue_date = { April 2015 },
volume = { 115 },
number = { 5 },
month = { April },
year = { 2015 },
issn = { 0975-8887 },
pages = { 32-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume115/number5/20149-2281/ },
doi = { 10.5120/20149-2281 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:53:57.806159+05:30
%A Mohit Sood
%A Tanu Preet Singh
%T Optimization of Enhanced Ant Colony Optimization Algorithm using Quad-Constrained FANTs and Multi-Criteria based BANTs in Mobile Adhoc Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 115
%N 5
%P 32-40
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Portable specially appointed system comprise of hubs that are versatile. The hubs are interconnected with no brought together control. The correspondence between the hubs is completed by utilizing the versatile hubs which are going about as switches. Steering in a versatile specially appointed system is critical issues. The greatest test in systems is to discover the way between the correspondence end focuses. MANET hubs working on battery attempt to seek after the vitality productivity by lessening the vitality they devoured. In this paper just utilize the idea of Nature Inspired calculations (Swarm Intelligence Technique, for example, Ant Colony Optimization calculation. Fundamentally the convention is in view of swarm discernment. It is utilized to take care of complex issues by participation. The principle objective of this paper is to diminish overhead, upgrade the vitality, end to end delay. This paper just presents the utilize the idea of quad-constrained FANTs and multi-criteria based BANTs to course the information.

References
  1. D. RupérezCañas, A. L. Sandoval Orozco, L. J. GarcíaVillalba and P. -S. Hong, ?Hybrid ACO Routing Protocol for Mobile Ad Hoc Networks?, Hindawi Publishing Corporation International Journal of Distributed Sensor Networks Volume 2013, Article ID 265485, 7 pages
  2. N. Umapathi, N. Ramaraj, ?Swarm Intelligence Based Dynamic Source Routing For Improved Quality Of Service?, Journal of Theoretical and Applied Information Technology31st March 2014. Vol. 61 No. 3
  3. Okafor, Friday Onyema and Fagbohunmi, Griffin Siji (2013), ?Energy Efficient Routing in Wireless Sensor Networks based on Ant Colony Optimization?, West African Journal of Industrial and Academic Research Vol. 8 No. 1 September 2013
  4. Rahul S. Kale1 and V. M. Deshmukh, ?Benefits and Limitations of Existing Energy Efficient Protocol in MANET?, International Journal of Information and Computation Technology. ISSN 0974-2239 Volume 4, Number 3 (2014), pp. 293-298
  5. Richa Sharma*, Rajesh Kumar, Neha Sharma, ?Energy Efficient DSR Protocol Using ACO?, Volume 4, Issue 5, May 2014 ISSN: 2277 128X International Journal of Advanced
  6. A. M. Zungeru, L. M. Ang, S. R. S. Prabaharan, and K. P. Seng, ?Ant based routing protocol for visual sensors,? in Proceedings of the Informatics Engineering and Information Science Communications in Computer and Information Science (ICIEIS '11), A. Abd Manaf, et al. , Ed. , pp. 250–264, 2011.
  7. AdamuMurtalaZungeru, KahPhooiSeng, Li-MinnAng, and Wai Chong Chia (2013), ?Energy Efficiency Performance Improvements for Ant-Based Routing Algorithm in Wireless Sensor Networks?, Hindawi Publishing Corporation Journal of Sensors Volume 2013, Article ID 759654, 17 pages
  8. Anjali & NavpreetKaur, (2013) ?Routing Based Ant Colony Optimization in Wireless Sensor Networks?, Global Journal of Computer Science and Technology Network, Web & Security Volume 13 Issue 4 Version 1. 0 Year 2013
  9. Anuj K. Gupta, Harsh Sadawarti, and Anil K. Verma, ?MANET Routing Protocols Based on Ant Colony Optimization?, International Journal of Modeling and Optimization, Vol. 2, No. 1, February 2012
  10. Arafat S. M. , Qaed T. Devi (2012), ?Ant ColonyOptimization based Delay and Energy Conscious Routing Protocol for Mobile Adhoc Networks?, International Journal of Computer Applications (0975 – 8887)Volume 41– No. 11, March 2012.
  11. Arun Kumar, Rajeshwar Singh, ?Mobile Ad HocNetworks Routing Optimization Techniques Using Swarm Intelligence?, IJRIM Volume 1, Issue 4 (August, 2011) (ISSN 2231-4334), International Journal of Research in IT & Management
  12. Bibhash Roy, SumanBanik, ParthiDey, SugataSanyal, NabenduChak, ?Ant Colony based Routing for MobileAd-Hoc Networks towards Improved Quality of Services.
Index Terms

Computer Science
Information Sciences

Keywords

Swarm Intelligence Mobile ad hoc networks (MANETs) Ant Colony Optimization algorithm (ACOA).