Network Selection in Wireless Heterogeneous Networks: a Survey
DOI:
https://doi.org/10.26636/jtit.2018.126218Keywords:
always best connected, fuzzy logic, game theor, multiple attribute decision making, quality of service, radio access technologiesAbstract
Heterogeneous wireless networks is a term referring to networks combining different radio access technologies with the aim of establishing the best connection possible. In this case, users with multi-mode terminals can connect via different wireless technologies, such as 802.16, 802.11, UMTS, HSPA and LTE, all at the same time. The problem consists in the selection of the most suitable from all radio access technologies available. The decision process is called network selection, and depends on several parameters, such as quality of service, mobility, cost, energy, battery life, etc. Several methods and approaches have been proposed in this context, with their objective being to offer the best QoS to the users, and/or to maximize re-usability of the networks. This paper represents a survey of the network selection methods used. Multiple attribute-dependent decision-making methods are presented. Furthermore, the game theory concept is illustrated, the use of the fuzzy logic is presented, and the utility functions defining the network selection process are discussed.
Downloads
References
[1] M. Lahby, S. Baghla, and A. Sekkaki, “Survey and comparison of MADM methods for network selection access in heterogeneous networks”, in Proc. 7th Int. Conf. on New Technol., Mobil. and Secur. NTMS 2015, Paris, France, 2015, pp. 1–6. DOI: https://doi.org/10.1109/NTMS.2015.7266522
View in Google Scholar
[2] S. Scherzer and T. Scherzer, “Method and system for selecting a wireless network for offloading”, US Patent 9,148,843, Sept. 29, 2015.
View in Google Scholar
[3] S. K. Kovvali, C. Boyle, R. Ghai, J. S. Amand, and G. Alden, “Content and ran aware network selection in multiple wireless access and small-cell overlay wireless access networks”, US Patent 9,001,682, Apr. 7, 2015.
View in Google Scholar
[4] J. Wu, B. Cheng, C. Yuen, Y. Shang, and J. Chen, “Distortion-aware concurrent multipath transfer for mobile video streaming in heterogeneous wireless networks”, IEEE Trans. on Mob. Comput., vol. 14, no. 4, pp. 688–701, 2015. DOI: https://doi.org/10.1109/TMC.2014.2334592
View in Google Scholar
[5] E. H. Watanabe, D. S. Menasch´ e, E. De Souza e Silva, and R. M. Leao, “Modeling resource sharing dynamics of VoIP users over a WLAN using a game-theoretic approach”, in Proc. 27th Conf. on Comp. Commun. INFOCOM 2008, Phoenix, AZ, USA, 2008. DOI: https://doi.org/10.1109/INFOCOM.2008.144
View in Google Scholar
[6] M. Alkhawlani and A. Ayesh, “Access network selection based on fuzzy logic and genetic algorithms”, Adv. in Artif. Intell., vol. 8, no. 1, p. 1–12, 2008. DOI: https://doi.org/10.1155/2008/793058
View in Google Scholar
[7] F. Bendaoud, F. Didi, and M. Abdennebi, “A modified-SAW for network selection in heterogeneous wireless networks”, ECTI Trans. on Elec. Engin., Electron., and Commun., vol. 15, no. 2, pp. 8–17, 2017. DOI: https://doi.org/10.37936/ecti-eec.2017152.171312
View in Google Scholar
[8] Y. K. Salih, O. H. See, R. W. Ibrahim, S. Yussof, and A. Iqbal, “A user-centric game selection model based on user preferences for the selection of the best heterogeneous wireless network”, Annals of Telecommunications, vol. 70, no. 5-6, pp. 239–248, 2015. DOI: https://doi.org/10.1007/s12243-014-0443-6
View in Google Scholar
[9] A. Sgora, D. D. Vergados, and P. Chatzimisios, “An access network selection algorithm for heterogeneous wireless environments”, in Proc. of the IEEE Symp. on Comput. and Commun. ISCC 2010, Riccione, Italy, 2010, pp. 890–892. DOI: https://doi.org/10.1109/ISCC.2010.5546556
View in Google Scholar
[10] L. Abdullah and C. R. Adawiyah, “Simple additive weighting methods of multi criteria decision making and applications: A decade review”, Int. J. of Inform. Process. and Manag., vol. 5, no. 1, p. 39–49, 2014.
View in Google Scholar
[11] K. Savitha and C. Chandrasekar, “Trusted network selection using SAW and TOPSIS algorithms for heterogeneous wireless networks”, Int. J. of Comp. Appl., vol. 26, no. 8, pp. 22–29, 2011. DOI: https://doi.org/10.5120/3125-4300
View in Google Scholar
[12] Q.-T. Nguyen-Vuong, Y. Ghamri-Doudane, and N. Agoulmine, “On utility models for access network selection in wireless heterogeneous networks”, in Proc. IEEE Netw. Operations and Manag. Symp. NOMS 2008, Salvador, Bahia, Brazil, 2008, pp. 144–151. DOI: https://doi.org/10.1109/NOMS.2008.4575128
View in Google Scholar
[13] D. L. Olson, “Comparison of weights in TOPSIS models”, Mathem. and Comp. Modelling, vol. 40, no. 7–8, pp. 721–727, 2004. DOI: https://doi.org/10.1016/j.mcm.2004.10.003
View in Google Scholar
[14] B. Bakmaz, Z. Bojkovic, and M. Bakmaz, “Network selection algorithm for heterogeneous wireless environment”, in Proc. of IEEE 18th Int. Symp. on Pers., Indoor and Mob. Radio Commun. PIMRC 2007, Athens, Greece, 2007, pp. 1–4. DOI: https://doi.org/10.1109/PIMRC.2007.4394315
View in Google Scholar
[15] M. Lahby, L. Cherkaoui, and A. Adib, “An intelligent network selection strategy based on MADM methods in heterogeneous networks”, Int. J. of Wirel. & Mob. Netw. (IJWMN), vol. 4, no. 1, pp. 83–96, 2012. DOI: https://doi.org/10.5121/ijwmn.2012.4106
View in Google Scholar
[16] K. Savitha and C. Chandrasekar, “Vertical handover decision schemes using SAW and WPM for network selection in heterogeneous wireless networks”, arXiv preprint arXiv:1109.4490, 2011.
View in Google Scholar
[17] P. TalebiFard and V. C. Leung, “Context-aware mobility management in heterogeneous network environments”, J. of Wirel. Mob. Netw., Ubiquitous Comput., and Dependable Appl. (JoWUA), vol. 2, no. 2, pp. 19–32, 2011.
View in Google Scholar
[18] D.-M. Shen, H. Tian, and L. Sun, “The QoE-oriented heterogeneous network selection based on fuzzy AHP methodology”, in Proc. of the 4th Int. Conf. on Mob. Ubiquit. Comput., Systems, Serv. and Technol. UBICOMM 2010, Florence, Italy, 2010, pp. 275–280.
View in Google Scholar
[19] C.-T. Lin and P.-F. Hsu, “Adopting an analytic hierarchy process to select internet advertising networks”, Marketing Intell. & Plann., vol. 21, no. 3, pp. 183–191, 2003. DOI: https://doi.org/10.1108/02634500310474993
View in Google Scholar
[20] Y.-M. Wang and Y. Luo, “On rank reversal in decision analysis”, Mathem. and Comp. Modell., vol. 49, no. 5–6, pp. 1221–1229, 2009. DOI: https://doi.org/10.1016/j.mcm.2008.06.019
View in Google Scholar
[21] Á. Huszák and S. N. Imre, “Eliminating rank reversal phenomenon in GRA-based network selection method”, in Proc. IEEE Int. Conf. on Commun. ICC 2010, Cape Town, South Africa, 2010, pp. 1–6. DOI: https://doi.org/10.1109/ICC.2010.5502475
View in Google Scholar
[22] Y. B. Shin, S. Lee, S. G. Chun, and D. Chung, “A critical review of popular multi-criteria decision making methodologies”, Issues in Inform. Syst., vol. 14, no. 1, pp. 358–365, 2013.
View in Google Scholar
[23] F. Bendaoud, M. Abdennebi, and F. Didi, “Network selection using game theory”, in Proc. 3rd Int. Conf. on Control, Engin. & Inform. Technol. CEIT 2015, Tlemcen, Algeria, 2015, pp. 1–6. DOI: https://doi.org/10.1109/CEIT.2015.7233014
View in Google Scholar
[24] M. J. Osborne and A. Rubinstein, A Course in Game Theory. MIT Press, 1994 (ISBN: 9780262650403).
View in Google Scholar
[25] D. E. Charilas and A. D. Panagopoulos, “A survey on game theory applications in wireless networks”, Comp. Netw., vol. 54, no. 18, pp. 3421–3430, 2010. DOI: https://doi.org/10.1016/j.comnet.2010.06.020
View in Google Scholar
[26] K. Mittal, E. M. Belding, and S. Suri, “A game-theoretic analysis of wireless access point selection by mobile users”, J. of Comp. Commun., vol. 31, no. 10, pp. 2049–2062, 2008. DOI: https://doi.org/10.1016/j.comcom.2008.01.025
View in Google Scholar
[27] M. Cesana, N. Gatti, and I. Malanchini, “Game theoretic analysis of wireless access network selection: models, inefficiency bounds, and algorithms”, in Proc. of the 3rd Int. Conf. on Perform. Eval. Methodol. and Tools, Athens, Greece, 2008, Article no. 6. DOI: https://doi.org/10.4108/ICST.VALUETOOLS2008.4341
View in Google Scholar
[28] J. Antoniou and A. Pitsillides, “4G converged environment: Modeling network selection as a game”, in Proc. 16th IST Mob. and Wirel. Commun. Summit, Budapest, Hungary, 2007, pp. 1–5. DOI: https://doi.org/10.1109/ISTMWC.2007.4299242
View in Google Scholar
[29] M. S. Z. Khan, S. Alam, and M. R. H. Khan, “A network selection mechanism for fourth generation communication networks”, J. of Adv. in Inform. Technol., vol. 1, no. 4, pp. 189–196, 2010. DOI: https://doi.org/10.4304/jait.1.4.189-196
View in Google Scholar
[30] D. E. Charilas, O. I. Markaki, and P. T. Vlacheas, “Admission control as a non-cooperative multi-stage game between wireless networks”, in Proc. 16th Int. Conf. on Sys., Sig. and Image Process. IWSSIP 2009, Chalkida, Greece, 2009, pp. 1–5. DOI: https://doi.org/10.1109/IWSSIP.2009.5367804
View in Google Scholar
[31] R. Trestian, O. Ormond, and G.-M. Muntean, “Reputation-based network selection mechanism using game theory”, Phys. Commun., vol. 4, no. 3, pp. 156–171, 2011. DOI: https://doi.org/10.1016/j.phycom.2011.06.004
View in Google Scholar
[32] M. A. Khan, U. Toseef, S. Marx, and C. Goerg, “Game-theory based user centric network selection with media independent handover services and flow management”, in Proc. 8th Ann. Commun. Netw. and Serv. Res. Conf. CNSR 2010, pp. 248–255, Montreal, QC, Canada, 2010. DOI: https://doi.org/10.1109/CNSR.2010.40
View in Google Scholar
[33] M. Chatterjee, H. Lin, and S. K. Das, “Non-cooperative games for service differentiation in CDMA systems”, Mob. Netw. and Appl., vol. 10, no. 6, pp. 939–946, 2005. DOI: https://doi.org/10.1007/s11036-005-4450-8
View in Google Scholar
[34] L. A. Zadeh, “Fuzzy sets and information granularity”, in Advances in Fuzzy Set Theory and Applications, M. M. Gupta, R. K. Ragade, and R. R. Yager, Eds. Amsterdam: North-Holland, 1979, pp. 3–18 (ISBN: 9780444853721).
View in Google Scholar
[35] J. Godjevac, Idées nettes sur la logique floue. Presses Polytechniques et Universitaires Romandes (PPUR), 1999 (ISBN: 9782880743789) [in French].
View in Google Scholar
[36] S. Kher, A. K. Somani, and R. Gupta, “Network selection using fuzzy logic”, in Proc. 2nd Int. Conf. on Broadband Netw. BroadNets 2005, Boston, MA, USA, 2005, pp. 876–885. DOI: https://doi.org/10.1109/ICBN.2005.1589698
View in Google Scholar
[37] S.-B. Cho and J. H. Kim, “Multiple network fusion using fuzzy logic”, IEEE Trans. on Neural Netw., vol. 6, no. 2, pp. 497–501, 1995. DOI: https://doi.org/10.1109/72.363487
View in Google Scholar
[38] C. Kahraman, U. Cebeci, and Z. Ulukan, “Multi-criteria supplier selection using fuzzy AHP”, Logist. Inform. Manag., vol. 16, no. 6, pp. 382–394, 2003. DOI: https://doi.org/10.1108/09576050310503367
View in Google Scholar
[39] Y.-M. Wang and T. M. Elhag, “Fuzzy TOPSIS method based on alpha level sets with an application to bridge risk assessment”, Expert Syst. with Appl., vol. 31, no. 2, pp. 309–319, 2006. DOI: https://doi.org/10.1016/j.eswa.2005.09.040
View in Google Scholar
[40] P. C. Fishburn, Utility Theory for Decision Making. Wiley, 1970. DOI: https://doi.org/10.21236/AD0708563
View in Google Scholar
[41] F. Bari and V. C. M. Leung, “Use of non-monotonic utility in multiattribute network selection”, in Wireless Technology, S. Powell and J. P. Shim, Eds. LNEE, vol. 44, pp. 21–39. Springer, 2009. DOI: https://doi.org/10.1007/978-0-387-71787-6_2
View in Google Scholar
[42] M. A. Senouci, S. Hoceini, and A. Mellouk, “Utility function-based TOPSIS for network interface selection in heterogeneous wireless networks”, in Proc. IEEE International Conference on Communications ICC 2016, Kuala Lumpur, Malaysia, 2016, pp. 1–6. DOI: https://doi.org/10.1109/ICC.2016.7511563
View in Google Scholar
[43] O. Ormond, J. Murphy, and G.-M. Muntean, “Utility-based intelligent network selection in beyond 3G systems”, in Proc. IEEE Int. Conf. on Commun. ICC 2006, Istanbul, Turkey, 2006, vol. 4, pp. 1831–1836. DOI: https://doi.org/10.1109/ICC.2006.254986
View in Google Scholar
[44] L. Pirmez, J. C. Carvalho Jr, F. C. Delicato, F. Protti, L. F. Carmo, P. F. Pires, and M. Pirmez, “Sutil–network selection based on utility function and integer linear programming”, Comp. Netw., vol. 54, no. 13, pp. 2117–2136, 2010. DOI: https://doi.org/10.1016/j.comnet.2010.03.007
View in Google Scholar
Downloads
Submitted
Published
Issue
Section
License
Copyright (c) 2018 Journal of Telecommunications and Information Technology

This work is licensed under a Creative Commons Attribution 4.0 International License.