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A Hybrid Modified Particle Swarm Optimization for Heterogeneous Radio Access Technology (RAT) Selection

by J. Preethi, S. Palaniswami
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 43 - Number 9
Year of Publication: 2012
Authors: J. Preethi, S. Palaniswami
10.5120/6134-8370

J. Preethi, S. Palaniswami . A Hybrid Modified Particle Swarm Optimization for Heterogeneous Radio Access Technology (RAT) Selection. International Journal of Computer Applications. 43, 9 ( April 2012), 34-42. DOI=10.5120/6134-8370

@article{ 10.5120/6134-8370,
author = { J. Preethi, S. Palaniswami },
title = { A Hybrid Modified Particle Swarm Optimization for Heterogeneous Radio Access Technology (RAT) Selection },
journal = { International Journal of Computer Applications },
issue_date = { April 2012 },
volume = { 43 },
number = { 9 },
month = { April },
year = { 2012 },
issn = { 0975-8887 },
pages = { 34-42 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume43/number9/6134-8370/ },
doi = { 10.5120/6134-8370 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:33:00.385341+05:30
%A J. Preethi
%A S. Palaniswami
%T A Hybrid Modified Particle Swarm Optimization for Heterogeneous Radio Access Technology (RAT) Selection
%J International Journal of Computer Applications
%@ 0975-8887
%V 43
%N 9
%P 34-42
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Next Generation wireless networks are heterogeneous in nature where a variety of Radio Access Technologies (RATs) coexist in the same coverage area. It is important to select the most appropriate Radio Access Network (RAN) according to the requested service of each user. Hence, this paper proposes a Hybrid Modified Particle Swarm Optimization (PSO) algorithm to select the best access network among Wireless Wide Area Network (WWAN) and Wireless Local Area Network (WLAN). Particle Swarm Optimization is a global optimization algorithm, is known to effectively solve large scale nonlinear optimization problems. A variant of PSO called as Modified PSO is used in this paper where a constriction coefficient (?) has been introduced in the velocity update equation and this factor improves the convergence of the particle over time and this optimization algorithm has been hybridized with multi-objective decision making algorithm and weighing function to achieve better solutions. The performance of the proposed algorithm is evaluated using 1000 datasets. From the simulation study, it is found that the proposed approach gives higher user satisfaction ratio compared with the other approaches.

References
  1. Iti, S. M, Wireless Communications and Networks, 3G and Beyond, Tata McGraw Hill Education Private Limited, 2010.
  2. Marques, R. L. Aguiar, C. Garcia, J. I. Moreno, C. Beaujean, E. Melin, and M. Liebsch, "An IP-based QoS architecture for 4G operator scenarios", in the IEEE Trans. Wireless Commun. , vol. 10, no. 3, pp. 54–62, Jun. 2003
  3. Abdallah ALSabbagh, Robin Braun, Mehran Abolhasan, "A Comprehensive Survey on RAT Selection Algorithms for Heterogeneous Networks", World Academy of Science, Engineering and Technology, 2011, pp. 141-145.
  4. Falowo, O. E. and H. A. Chana, "Joint call admission control algorithms: Requirements, approaches and design considerations", Computer Communications, vol. 31, no. 6, April 2008, pp. 1200-1217.
  5. A. Tolli and P. Hakalin, "Adaptive Load Balancing between Multiple Cell layers", IEEE 56th Vehicular Technology Conference (VTC 2002) Vancouver, Canada, September 24-28, Vol 3, 2002, pp. 1691-1695.
  6. J. Perez-Romero, O. Sallent and R. Agusti, "Policy-based Initial RAT selection algorithms in Heterogeneous Networks", The 7th IFIP International Conference on Mobile and Wireless Communications Networks (MWCN 2005), Marrakech, Morocco, September 19-21, 2005.
  7. W. Zhang, "Performance of Real-time and Data traffic in Heterogeneous Overlay Wireless Networks", 19th International Teletraffic Congress (ITC 19), Beijing, China, August - September 2, 2005.
  8. Perez-Romero, J. , O. Sallent and R. Agusti, "Enhanced Radio Access Technology Selection exploiting Path loss information", in the Proceedings of the 17th annual IEEE Symposium on Personal, Indoor and Mobile Radio Communication, (PIMRC '06).
  9. R. B. Ali, S. Pierre, "An Efficient predictive admission control policy for heterogeneous wireless bandwidth allocation in next generation mobile networks", in the Proceeding of the 2006 international conference on Wireless communications and mobile computing (IWCMC'06), Vancouver, Canada, July3-6, 2006.
  10. O. Ormond, J. Murphy, G. Muntean, "Utility –based Intelligent network selection in beyond 3G systems", IEEE International Conference on communications (ICC 2006), Istanbul, Turkey, June 11-15.
  11. Aleksandar Tudzarov and Toni Janevski, "Efficient Radio Access Technology Selection for the Next Generation Wireless Networks" in the International Journal of Research and Reviews in Next Generation Networks, Vol. 1, No. 1, March 2011.
  12. L. Giupponi, R. Agustí, J. Pérez-Romero, and O. Sallent, "A novel approach for joint radio resource management based on fuzzy neural methodology," in IEEE Transactions on Vehicular Technology, vol. 57, No. 3, May 2008.
  13. R. Agustí, O. Sallent, J. Pérez-Romero, and L. Giupponi, "A fuzzy neural based approach for joint radio resource management in a beyond 3G framework," in Proc. 1st Int. Conf. Quality Service Heterogeneous Wired/Wireless Netw. , Dallas, TX, Oct. 2004, pp. 216–224.
  14. Kenedy, J. , Eberhart R. C, "Particle Swarm Optimization" in the Proceedings of IEEE Int. Conf. Neural Network, Volume 4, 1995, pp. 1942-1948.
  15. Shi, Y. , Eberhart, R. C. "Empirical study of particle swarm optimization", in the Proceeding of IEEE Congress on Evol. Computation, 1995, pp. 1945-1950.
  16. S. N. Sivanandam and S. N. Deepa, "Principles of Soft Computing", Wiley-India, Second Edition, 2011.
  17. R. Eberhart and Y. Shi, "Comparing inertia weights and constriction factors in particle swarm optimization," in Proc. IEEE Congress Evol. Comput. , Jul. 2000, vol. 1, pp. 84–88.
  18. F. Bergh and A. Engelbrecht, "A cooperative approach to particle swarm optimization," IEEE Trans. Evol. Comput. , vol. 8, no. 3, pp. 225–239, Jun. 2004.
  19. Y. Shi and R. Eberhart, "A modified particle swarm optimizer," in Proc. IEEE World Congr. Comput. Intell. , pp. 69–73, May 1998.
  20. R. Eberhart, Y. Shi, and J. Kennedy, Swarm Intelligence. San Mateo, CA: Morgan Kaufmann, 2001.
  21. M. Clerc and J. Kennedy, "The particle swarm-explosion, stability, and convergence in a multidimensional complex space," IEEE Trans. Evol. Comput. , vol. 6, no. 1, pp. 58–73, Feb. 2002.
  22. Mohammed Alkhawlani and Aladdin Ayesh, "Access Network Selection based on Fuzzy logic and Genetic Algorithms", Advances in Artificial Intelligence. , Volume 8, Issue 1, January 2008.
  23. T. Ross, "Fuzzy logic with Engineering Application" (Tata McGraw hill, 1995)
  24. T. Takagi and M. Sugeno, "Fuzzy identification of systems and its applications to modeling and control", IEEE Trans. Syst. Man cybern. 15 (1985) 116-132.
  25. S. Yuhui, E. Russell and C. Yaobin, "Implementation of evolutionary fuzzy systems", IEEE Trans. Fuzzy Syst. Vol. 7, No. 2, April 1999, pp. 109-119.
  26. P. M. L. Chan, Y. F. Hu and R. E. Sheriff, "Implementation of Fuzzy Multiple Objective Decision Making Algorithm in a Heterogeneous Mobile Environment", Wireless Communications and Networking Conference, WCNC2002, IEEE, 332 – 336, 2002.
  27. Yamille del Valle, Ganesh Kumar Venayagamoorthy, Salman Mohagheghi, Jean-Carlos Hernandez, Ronald G. Harley, "Particle Swarm Optimization: Basic Concepts, Variants and Applications in Power Systems", in the IEEE Transactions on Evolutionary Computation, Volume 12, No. 2, April 2008.
  28. J. Preethi and S. Palaniswami, "A New Hybrid Approach for Heterogeneous Radio Access Technology Selection" in the Journal of Computer Science, pp. 767-774, March 2012.
Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Logic Controller Multi Objective Decision Making Algorithm Weighing Function Modified Particle Swarm Optimization And Best Access Selection

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