Call for Paper - March 2023 Edition
IJCA solicits original research papers for the March 2023 Edition. Last date of manuscript submission is February 20, 2023. Read More

A Survey Paper on Particle Swarm Optimization based Routing Protocols in Mobile Ad-Hoc Networks

Print
PDF
International Journal of Computer Applications
© 2015 by IJCA Journal
Volume 119 - Number 10
Year of Publication: 2015
Authors:
Shruti Dixit
Rakesh Singhai
10.5120/21100-3812

Shruti Dixit and Rakesh Singhai. Article: A Survey Paper on Particle Swarm Optimization based Routing Protocols in Mobile Ad-Hoc Networks. International Journal of Computer Applications 119(10):1-5, June 2015. Full text available. BibTeX

@article{key:article,
	author = {Shruti Dixit and Rakesh Singhai},
	title = {Article: A Survey Paper on Particle Swarm Optimization based Routing Protocols in Mobile Ad-Hoc Networks},
	journal = {International Journal of Computer Applications},
	year = {2015},
	volume = {119},
	number = {10},
	pages = {1-5},
	month = {June},
	note = {Full text available}
}

Abstract

Swarm Intelligence is an artificial intelligence discipline which is concerned with the design of intelligent multi-agent systems by taking inspiration from the collective behaviours of social insects and other animal societies. They are characterized by a decentralized way of working that mimics the behaviour of the swarm. Swarm Intelligence is a successful paradigm for the algorithm with complex problems. The purpose of the research is to apply swarm intelligence on routing algorithms used in MANET. Swarm intelligence based routing algorithm will more promising for specific nature of ad- hoc networks and will outperform in real scenarios/constraints/environmental conditions and will tune and simulate to get an efficient and effective routing protocol for MANET.

References

  • Siva. R. M, C. and B. S. Manoj, "Ad-Hoc Wireless Networks: Architecture And Protocols", Pearson, USA, 2004.
  • E. Royer and C. K. Toh, "A review of current routing protocols for ad-hoc mobile wireless networks",IEEE Personal Communications, 1999.
  • Rajagopalan. R, Dahlstrom,"Performance comparison of routing protocols in mobile ad hoc networks in the presence of faulty nodes", {IEEE International Conference On Wireless Information Technology And Systems (ICWITS)}, 11-16 NOV. 2012.
  • Xiaodong Li, Xin Yao, "Cooperatively Coevolving Particle Swarms for Large Scale Optimization", {IEEE Transactions On Evolutionary Computation}, VOL. 16, NO. 2, APRIL 2012.
  • Rubio largoA, Vega RodriguezM, Gomez Pulido, Sanchez-Perez, "Comparative Study on Multi objective Swarm Intelligence for the Routing and Wavelength Assignment problem",{ IEEE Transactions On Systems, Man And Cybernetics Part C}, Volume:42 , Issue: 6 , Nov 2012.
  • Asadinia. S, Rafsanjani. M. k , Saeid. A. B, "A novel routing algorithm based-on ant colony in Mobile Ad hoc Networks", { 3rd IEEE International Conference on Ubi-media Computing (U-Media)}, 5-6 July 2010.
  • G. Di Caro, F. Ducatelle, L. M. Gambardella, "Swarm Intelligence for routing in mobile ad hoc networks",{ In Proceedings of the 2005 IEEE Swarm Intelligence Symposium, SIS 2005}, pp. 76–83, 2005.
  • B. Chandra Mohan & R. Baskaran, "Survey on Recent Research and Implementation of Ant Colony Optimization in Various Engineering Applications", {International Journal of Computational Intelligence Systems Taylor And Franchis}, Volume 4, Issue 4, 2011.
  • Shu-Kai S. Fana & Ju-Ming Changa, "A parallel particle swarm optimization algorithm for multi-objective optimization problems",{Engineering Optimization Taylor and Franchis},Volume 41, Issue 7, 2009.
  • Zhang, Z. ; Long, K. ; Wang, J. ; Dressler, F ,"On Swarm Intelligence Inspired Self-Organized Networking: Its Bionic Mechanisms, Designing Principles and Optimization Approaches", Communications Surveys & Tutorials, IEEE, ( Issue: 99 ), 04 July 2013.
  • Bahriye Akay, Dervis Karaboga, "A modi?ed Arti?cial Bee Colony algorithm for real-parameter optimization",{ Elsevier}, 2010.
  • F. Ducatelle, G. D. Caro, and L. M. Gambardella, "Using ant agents to combine reactive and proactive strategies for routing in mobile ad hoc networks", {International Journal Of Computational Intelligence And Applications}, vol. 5, no. 2, pp. 169–184, 2005.
  • F. Dressler and O. Akan,"Bio-inspired networking: from theory to practice",{IEEE Communication Magzine. }, vol. 48, no. 11, pp. 176–183, 2010
  • F. Dressler and O. Akan, "A Survey on Bio-inspired Networking", {Elsevier Computer Networks}, vol. 54, no. 6, pp. 881–900, 2010.
  • O. Tonguz, "Biologically inspired solutions to fundamental transportation problems", {IEEE Communication. Magazine}, vol. 49, no. 11, pp. 106–115, Nov. 2011.
  • Frederick Ducatelle, Gianni A. Di Caro, Luca M. Gambardella," An Evaluation of Two Swarm Intelligence MANET Routing Algorithms in an Urban Environment", {IEEE Swarm Intelligence Symposium}, 2010.
  • Roth, M. , "Termite: A Swarm Intelligent Routing Algorithm for Mobile Wireless Ad-Hoc Networks", {Thesis and Dissertations}, Cornell University Graduate School (2005).
  • Ajith Abraham, Crina Grosan, Vitorino Ramos, "Stigmergic Computational Intelligence", {Spinger},2010.
  • Muhammad Saleem a, Gianni A. Di Caro b, Muddassar Farooq, "Swarm intelligence based routing protocol for wireless sensor networks: Survey and future directions",{Information Sciences Elsevier}, 2010.
  • Falko Dresser, "A Study of Self Organization Mechanism in Ad-hoc and Sensor Networks", {Elsevier Computer Communications}, Vol. 31(13), 2008.
  • S. Lalwani, S. Singhal, R. Kumar and N. Gupta, "A Comprehensive Survey: Applications Of Multi-Objective Particle Swarm Optimization (Mopso) Algorithm", {Transactions On Combinatorics}, Vol. 2 No. 1 (2013), pp. 39-101.