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Reseach Article

A Comparative Study of Call Admission Control in Mobile Multimedia Networks using Soft Computing

by Sanjeev Kumar, Krishan Kumar, Anand Kumar Pandey
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 107 - Number 16
Year of Publication: 2014
Authors: Sanjeev Kumar, Krishan Kumar, Anand Kumar Pandey
10.5120/18833-0333

Sanjeev Kumar, Krishan Kumar, Anand Kumar Pandey . A Comparative Study of Call Admission Control in Mobile Multimedia Networks using Soft Computing. International Journal of Computer Applications. 107, 16 ( December 2014), 5-11. DOI=10.5120/18833-0333

@article{ 10.5120/18833-0333,
author = { Sanjeev Kumar, Krishan Kumar, Anand Kumar Pandey },
title = { A Comparative Study of Call Admission Control in Mobile Multimedia Networks using Soft Computing },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 107 },
number = { 16 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 5-11 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume107/number16/18833-0333/ },
doi = { 10.5120/18833-0333 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:41:12.083730+05:30
%A Sanjeev Kumar
%A Krishan Kumar
%A Anand Kumar Pandey
%T A Comparative Study of Call Admission Control in Mobile Multimedia Networks using Soft Computing
%J International Journal of Computer Applications
%@ 0975-8887
%V 107
%N 16
%P 5-11
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Call admission control (CAC) is one of challenging issues for quality of service (QoS) provisioning in mobile multimedia network communication systems. CAC can be defined as the system that restricts the network access based on resource availability. A new call is admitted if enough idle resources are available in order to meet the QoS requirements of the new call without violating the QoS for already accepted calls, otherwise the call is rejected. This paper provides a survey of different CAC schemes used for mobile multimedia networks using soft computing techniques like artificial neural networks, fuzzy logic, and genetic algorithms. Soft computing can be used to obtain optimized results from many parameters used in mobile multimedia networks. Our goal is to review and compare the best features of soft computing applied in mobile multimedia networks to improve the capability of existing CAC methods. This paper also elaborates the future directions for the use of untouched areas of artificial neural networks, fuzzy logic, and genetic algorithm.

References
  1. S. Youssef, I. Haibib, T. Saadawi. 1995. ATM Call Admission Control Using Neural Networks" 0-7803-2489- 7195 IEEE.
  2. I. Khalil, B. Mohd Ali. 1995. A Hybrid Histogram and Neural based Call Admission Control for VBR Video Traffic. 'Artificial Neural Networks 'conference Publication No. 409.
  3. K. Lo, C. Chang, C. Shung, 2003. A Neural Fuzzy Resource Manager for Hierarchical Cellular Systems Supporting Multimedia Services" IEEE Transmission on Vehicular technology, vol. 52.
  4. Youssef, I. Haibib, T. Saadawi. 1997. A Neuro computing Controller for Bandwidth Allocation in ATM Networks. IEEE journal on selected areas in communications,vol. 15, no. 2.
  5. I. Ahmad, J. Kamruzzaman, D. Habibi,F. Islam. 2008. An Intelligent Model to Control Preemption Rate of Instantaneous Request Calls in Networks with Book- Ahead Reservation, 978-1-4244-2603-4/08 IEEE.
  6. J. GoriP, C. DoboS, A. Ciimhr. 2003. Computational Intelligence in Call Admission Control. 0-7803-7993-4/03 lEEE.
  7. Atsushi –Hiramatsu. 1991. Integration of ATM Call Admission Control and Link Capacity Control by Distributed Neural Networks" IEEE journal on selected areas in communications, vol. 9, no. 7.
  8. K. Piamrat, A. Viho, J. Bonnin. 2008. QoE-aware Admission Control for Multimedia Applications in IEEE 802. 11 Wireless Networks, 978-1-4244-1722 IEEE.
  9. M. ahamed. 2005. Call Admission Control in Wireless Network: A Comprehensive Survey. volume 7, no. 1, IEEE communication.
  10. P. Metre, K. Radhika, Gowrishankar. 2012. Survey of Soft Computing Techniques for Joint Radio Resource Management, 978-1-4673-1520, IEEE.
  11. J. D. Mallapur, S. Abidhusain, S. S. Vastrad, A. C. Katageri. 2010. Fuzzy Based bandwidth Management for Wireless Multimedia Networks" CCIS 70, pp. 81–90, Springer-Verlag Berlin Heidelberg.
  12. F. Davoli, M. Marchese, M. Mongelli. 2005. Neural Decision Making for Decentralized Pricing-based Call Admission Control, 0-7803-8938- IEEE.
  13. J. Rezgui, A. Hafid, M. Gendreau. 2008. A distributed Admission control scheme for wireless mesh networks, In Proc. 5th Int. Conf. broadnets, London, U. K. pp. 594–601.
  14. Ramesh Babu H. S. Gowrishankar, Satyanarayana P. S. 2010. An Intelligent Call Admission Control Decision Mechanish for Wireless Networks journal of computing, volume 2, issue 4, issn 2151-9617.
  15. S. Zhang, F. R. Yu, V. C. M. Leung. 2010. Joint connection admission control and routing in IEEE 802. 16-based mesh networks. IEEE Trans. Wireless Commun. , vol. 9, no. 4, pp. 1370–1379.
  16. Matthew K. Luka, Aderemi A. Atayero. 2012. Applications of Soft Computing in Mobile and Wireless Communications", Covenant University,Ota, Nigeria, International Journal of Computer Applications (0975 – 8887) Volume 45– No. 22.
  17. Lotfi A. Zadeh. Fuzzy Logic, Neural Networks and Soft Computing", Communications of the ACM, Vol. 37.
  18. Mahesh G, Yeshwanth S, Manikantan U V. 2014. Survey on Soft Computing based Call Admission Control in Wireless Networks, International Journal of Computer Science and Information Technologies, Vol. 5 (3), 3176 – 3180.
  19. BAE, I-H, OH, S-J, Olariu, S. 2003. A fuzzy-logic Based location management method for mobile Network, in Intl. Conf. software engineering research And application SERA pp 304-319.
  20. Sherif, Mahmoud R. , Ibrahim W. Habib, Mahmoud Nagshineh, Parviz Kermani. 2000. Adaptive Allocation of Resources and Call Admission Control for Wireless Atm Using Genetic Algorithms. Selected Areas in Communications, IEEE Journal on 18, No. 2.
  21. Peter Marbach, Oliver Mihatsch, and John N. Tsitsiklis. 2000. Call Admission Control and Routing in Integrated Services Networks Using Neuro-Dynamic Programming, IEEE journal on selected areas in Communications, vol. 18, no. 2.
  22. Nordström, Ernst, Olle Gallmo, Lars Asplund, Mats Gustafsson, Bo Eriksson. 1992. Neural networks for admission control in an ATM network. In Connectionism in a broad perspective: Selected papers from the Swedish Conference on Connectionism, pp. 239-250.
  23. Dakroury, Yasser, Ahmed Abd, Osman Badr. 1999. Testing the performance of a neural networks-based adaptive call admission controller with multimedia traffic, In Multiple Approaches to Intelligent Systems, pp. 80-91. Springer Berlin Heidelberg.
  24. Marbach, Peter, Oliver Mihatsch, John N. Tsitsiklis. 2000. Call admission control and routing in integrated services networks using neuro-dynamic programming Selected Areas in Communications, IEEE Journal, VOL. 18, No. 2, page: 197-208.
  25. Taniguchi S. , Dote Y, Ovaska S. J. 2000 . Control of intelligent agent systems (robots) using extended soft computing, IEEE Int'l conf. on Systems, man and cybernetics vol. 1, pp. 3568-3572.
  26. Q. Liang,J. M. Mendel. 2000. Interval Type-2 Fuzzy Logic Systems: Theory and Design, IEEE Tran. On Fuzzy Systems vol. 8, pp. 535-550.
  27. N O. Hayking. 2008. Neural Networks and Learning Machines" (3rd Edition), Published By Prentice Hall, ISBN-13: 978-0131471399 ISBN-10: 0131471392.
  28. Aderemi A. Atayero ,Matthew. K. Luka. 2012. Applications of Soft Computing in Mobile and Wireless Communications, International Journal of Computer Applications (0975 – 8887) Volume 45– No. 22.
  29. Georgios I. Tsiropoulos, Dimitrios G. Stratogiannis, Eirini Eleni Tsiropoulou. 2010. Call Admission Control in Mobile and Wireless Networks, Mobile and Wireless Communications Network Layer and Circuit Level Design, Salma Ait Fares and Fumiyuki Adachi (Ed. ), Isbn: 978-953-307-042-1, Intech.
  30. Isvarya Luckshmi, A. P. , Visalakshi, P. Karthikeyan, N. K. 2011. Intelligent Schemes for Bandwidth Allocation in Cellular Mobile Networks, international Conference on Process Automation, Control and Computing (PACC) pp. 1-6.
  31. K. Kumar, R. Singh, Z. Khan, A. Indian. 2008. Air traffic runway allocation problem artmap (art1), Published in Ubiquitous Computing and Communication Journal, Korea, ISSN: 1992-8424, Vol 3, No 3.
  32. K. Kumar, R. Singh, Z. Khan. 2008. Air traffic enroute conflict detection using adaptive resonance theory map neural networks (art1), Published in Ubiquitous Computing and Communication Journal, Korea, ISSN: 1992-8424, Vol 3, No 3.
  33. Krishan Kumar. 2012. ART1 Neural Networks for Air Space Sectoring". International Journal of Computer Applications 37(1):20-24, ISSN: 0975-8887. Published by Foundation of Computer Science, New York, USA.
  34. Shuaibu, D. S. , S. K. Yusof, N. Fisal, S. H. S. Ariffin, R. A. Rashid, N. M. Latiff, Y. S. Baguda. 2011. Fuzzy Logic Partition-Based Call Admission Control for Mobile Wimax, Isrn Communications And Networking, No 16.
  35. Y. Ma, X. Hu, Y. Zhang, Y. Shi. 2005. Intelligent Call Admission Control Using Fuzzy Logic In Wireless Networks, In Proceedings Of The American Control Conference.
  36. Sathyapriya R, S. Malathy. 2012. Dynamic Channel Allocation and Revenue Based Call Admission Control Using Genetic Algorithm, International Journal of Advanced Research in IT and Engineering, ISSN: 2278-6244, Vol. 1, pp 33- 46.
  37. Jacek M Zurada. 1992. Introduction to artificial neural systems, west publishing company St. Paul New York Los Angeles San Francisco.
Index Terms

Computer Science
Information Sciences

Keywords

Call Admission Control (CAC) Soft Computing (SC) Artificial Neural Network (ANN) Fuzzy Logic (FL) Genetic Algorithm (GA).