Vol. 14 No. 38 (2015): Revista GTI
Articles

SERVICE QUALITY RESTRICTED ABILITY TO ACCESS POINT SELECTION IN 802.11 WIRELESS NETWORKS

EVELIO ASTAIZA HOYOS
Universidad del Cauca
Bio
HÉCTOR BERMÚDEZ OROZCO
Universidad del Cauca
Bio
LUIS FREDDY MUÑOZ S.
Universitaria de Popayán
Bio

Published 2014-11-18

How to Cite

ASTAIZA HOYOS, E., BERMÚDEZ OROZCO, H., & MUÑOZ S., L. F. (2014). SERVICE QUALITY RESTRICTED ABILITY TO ACCESS POINT SELECTION IN 802.11 WIRELESS NETWORKS. Revista GTI, 14(38), 85–95. Retrieved from https://revistas.uis.edu.co/index.php/revistagti/article/view/4871

Abstract

In this article, an algorithm that guarantees the quality of service based on ability for the selection 
of a wireless access point in an 802.11 network is presented. This problem is modeled as a non-
cooperative constraint-based bandwidth game where players are users who selfshly connect to the 
access point (AP) that guarantees the quality of service from the unique perspective of a high capacity 
required to perform the required services in the network. For this, the concept of solution known as 
Equilibrium Satisfaction (SE) is introduced and subsequently an algorithm developed in Matlab® that 
allows the network device determine which of the possible available APs to be connected is proposed, 
surpassing transfer rates required to perform their tasks required on the network and therefore 
guaranteeing Quality of Service (QoS) from the perspective of minimum required capacity, through 
bandwidth restrictions.


KEYWORDS: Bandwidth, Balance of satisfaction, not Cooperative Games, QoS, 802.11 Networks, 
Game Theory

Downloads

Download data is not yet available.

References

  1. SEN, S., ARUNACHALAM, K., WERNIK, basu y M., A QoS management framework for 3G wireless networks, En: WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE. New Orleans, LA, 1999.
  2. GUO, M., JIANG, S., GUAN, Q. y MAO, H. Provisioning of QoS adaptability in wired-wireless integrated networks. Communications and Networks, vol. 15, nº 1, pp. 61 - 70, 2013.
  3. KONDO, T., YOKOYAMA, A. y MAEDA, K., An implementation and evaluation of a selective QoSaware mobile multicasting on multiple wireless networks, En: Mobile Computing and Ubiquitous Networking (ICMU), 2014 Seventh International Conference on, Singapore, 2014.
  4. MISHRA, M. y SAHOO, A., An 802.11 Based MAC Protocol for Providing QoS to Real Time Applications, En:Information Technology, (ICIT 2007). 10th International Conference on, Orissa, 2007.
  5. SHOREY, R., ANANDA, A., CHAN, M. y OOI, W., QoS Provisioning in IEEE 802.11 WLAN, New York: Wiley-IEEE Press, 2005.
  6. ASTAIZA, E., BERMÚDEZ, H. F. y TRUJILLO, D. L. Selección de access point en redes inalámbricas 802.11 garantizando mínima QoS. Ingeniería y Ciencia,vol. 10, nº 20, pp. 115-137, 2014.
  7. PERLAZA, S., TEMBINE, H., LASAULCE, S. y DEBBAH, M. Satisfaction Equilibrium: A General Framework for QoS Provisioning in Self-Configuring Networks. En: IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM). Miami, 2010.
  8. ROSS, S. y CHAIB-DRAA, B. Learning to Play a Satisfaction Equilibrium. En Computer Science Department. PLT Bdg, Laval University, Quebec, PQ, Canada, 2010.
  9. MITTAL, K., BELDING, E. M. y SURI,S. A gametheoretic analysis of wireless access point selection by mobile users.En Computer Communications,vol. 31, nº 10, p. 2049–2062, 2008.
  10. JIANG, L., PAREKH, S. y WALRAND, J. Base Station Association Game in Multi-Cell Wireless Networks. En: WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE2008. WCNC 2008. IEEE, Las Vegas, NV, 2008.
  11. PERLAZA, S. M., BELMEGA, E.V., LASAULCE, S. y DEBBAH, M. On the Base Station Selection and Base Station Sharing in Self-Configuring Networks. En: FOURTH INTERNATIONAL CONFERENCE ON PERFORMANCE EVALUATION METHODOLOGIES AND TOOLS, Pisa, Italy, Oct. 2009.
  12. LI-HSING, Y., JIA-JUN, L. y CHE-MING, L. Stability and Fairness of Native AP Selection Games in IEEE 802.11 Access Networks. En: WIRELESS AND OPTICAL COMMUNICATIONS NETWORKS (WOCN), 2010 SEVENTH INTERNATIONAL CONFERENCE, Colombo, 2010.
  13. LIN, G., XINBING, W., GAOFEI, S. y YOUYUN,X. A Game Approach for Cell Selection and Resource Allocation in Heterogeneous Wireless Networks. En: SENSOR, MESH AND AD HOC COMMUNICATIONS AND NETWORKS (SECON), 2011 8TH ANNUAL IEEE COMMUNICATIONS SOCIETY CONFERENCE. Salt Lake City, UT, June 2011.
  14. ELIAS, J., MARTIGNON, F. y ALTMAN, E. Joint Pricing and Cognitive Radio Network Selection: a Game Theoretical Approach. En: MODELING AND OPTIMIZATION IN MOBILE, AD HOC AND WIRELESS NETWORKS (WIOPT), 2012 10TH INTERNATIONAL SYMPOSIUM. Paderborn, Germany, May 2012.
  15. TRUJILLO DÁVILA, D. L. Selección De Access Point En Redes 802.11 Garantizando Mínima Capacidad Para QoS: Una Perspectiva Desde La Teoría De Juegos No Cooperativos. Armenia Quindío, 2012, 110 p. Trabajo de grado (Ingeniero Electrónico). Universidad del Quindio. Facultad de Ingeniería. Programa de Ingeniería Electrónica. Grupo de Investigación GITUQ.
  16. OZDAGLAR, A. y MENACHE, I. Network Games. Theory, Models, and Dynamics. vol. 1, Morgan & Claypool, 2011.
  17. MONDERER, D. y SHAPLEY,L. S. Potential Games. Games and Economic Behavior,vol. 14, nº 44, pp. 124-143, 1996.
  18. AMZALLAG, D., BAR-YEHUDA, R., RAZ, D. y SCALOSUB, G. Cell Selection In 4G Cellular Networks, En: MOBILE COMPUTING, IEEE TRANSACTIONS,vol. 12, nº 7, pp. 1443 - 1455, 2013.
  19. MERTIKOPOULOS,P., BELMEGA, E., MOUSTAKAS, E. y LASAULCE, S. Distributed Learning Policies For Power Allocation In Multiple Access Channels. Selected Areas In Communications, IEEE Journal, vol. 30, nº 1, pp. 96 - 106, 2012.
  20. AHOURAI, F., TABANDEH, M., JAHED, M. y AFSARI, B. A Fair Routing Algorithm for Wireless Mesh Networks Based on Game Theory, En: ICN’09 EIGHTH INTERNATIONAL CONFERENCE, Gosier, Guadeloupe, 2009.
  21. DASILVA, L., BOGUCKA, H. y MACKENZIE, A. Game theory in wireless networks, Communications Magazine, vol. 49, nº 8, pp. 110- 111, 2011.
  22. FU, L., LIU, D., HE, Y., CUI, G., LIANG, H. y WANG, W. Cooperation Strategies by Cournot Game for Partner Selection and Power Control in S-UMTS, En: Computer and Information Technology (CIT), 2014 IEEE International Conference, Xi’an, 2014.
  23. ASTAIZA, E. Introducción A La Teoría De Juegos En Comunicaciones Inalámbricas. Armenia Quindío, 2013. 89 p. Trabajo de ascenso a categoría de profesor asociado. Universidad del Quindío. Facultad de Ingeniería. Programa de Ingeniería Electrónica.
  24. LASAULCE, S. DEBBAH, M. y ALTMAN, E. Methodologies for Analyzing Equilibria in Wireless Games. Signal Processing Magazine, IEEE , vol. 26, nº 5, pp. 41 - 52, 2009.
  25. COVER, T. y THOMAS, J. Elements of Information Theory, Second ed., Wiley, 2006.
  26. IEEE 802.11: WIRELESS LOCAL AREA NETWORKS. The Working Group for WLAN Standards, IEEE.
  27. YANG, S. C. OFDMA System Analysis And Design, Boston, Artech House, 2010, pp. 318.
  28. PÉREZ, J., JIMENO PASTOR, J. L. y CERDÁ TENA, E. Teoría de Juegos, Cap 3. Teoremas de Existencia del Equilibrio de Nash, Madrid, España: Pearson, 2004, pp. 170-175.