Weitere Artikel dieser Ausgabe durch Wischen aufrufen
It is expected that next-generation wireless networks will provide a plethora of mobile wireless services to users and ubiquitous network coverage at all times. Meeting these expected goals requires that new and existing networks be seamlessly integrated together to form Heterogeneous Wireless Networks (HWNs). Thus, seamless and efficient handover mechanisms are pertinent for optimal network performance in HWNs; so that the mobile user can switch from one access network to another, in search of the best connection for the demanded services. The HWNs’ performance can be reduced, if efficient network selection is not achieved. In HWNs, network-selection decisions can be evaluated by using multi-criteria, or a single criterion. However, network selection and decision-making in HWNs often involves taking into account a large number of complex and conflicting network-decision factors, or criteria. Thus multi-criteria decision-making techniques are more efficient than single-criterion techniques. Multi-Criteria Decision-Making (MCDM) techniques comprise of a developed branch of operational research for assisting in the resolution of complex decision-making problems. MCDM is an important tool that has been used to model and analyze handover-decisions and network-selection problems in HWNs. This paper reviews and classifies the most significant MCDM algorithms that have been used to address the network decision-making problems in HWNs in terms of algorithmic approach, the type of calls, the cardinality of decision criteria employed, handover-control points and the types of network utilities. Comprehensive step-wise mathematical implementations of the reviewed MCDM schemes are presented, while pointing out their strengths and limitations. This paper review fills a research gap in the investigation on network-selection criteria’s interdependence and interactions, and their effects on criteria’s weight of importance. It then provides an insight into the importance of network-criteria weighting and the current research trend in the application of MCDM algorithms to network-selection problems in HWNs.
Bitte loggen Sie sich ein, um Zugang zu diesem Inhalt zu erhalten
Sie möchten Zugang zu diesem Inhalt erhalten? Dann informieren Sie sich jetzt über unsere Produkte:
Song, Q., & Jamalipour, A. (2005). Network selection in an integrated wireless LAN and UMTS environment using mathematical modeling and computing techniques. IEEE Wireless Communications, 12(3), 42–48. CrossRef
Charilas, D. E., & Panagopoulous, A. D. (2010). Multiaccess radio network enviroments. IEEE Vehicular Technology Magazine, 5(4), 40–49. CrossRef
Zhang, W. (2004). Handover decision using fuzzy madm in heterogeneous networks. In Wireless communications and networking conference, 2004. WCNC. 2004 IEEE, vol. 2, pp. 653–658.
Wannstrom, J. (2016). 3GPP the mobile broadband standard lTE-advanced [Online]. http://www.3gpp.org/technologies/keywords-acronyms/97-lte-advanced
Papapanagiotou, I., Toumpakaris, D., Lee, J., & Devetsikiotis, M. (2009). A survey on next generation mobile wimax networks: Objectives, features and technical challenges. IEEE Communications Surveys and Tutorials, 11(4), 3–18. CrossRef
Verma, L., Fakharzdeh, M., & Choi, S. (2013). Wifi on steroids: 802.11ac and 802.11ad. IEEE Wireless Communications, 20(6), 30–35. CrossRef
Gebreyohannes, F. T., Frappé, A., & Kaiser, A. (2016). A configurable transmitter architecture for ieee 802.11ac and 802.11ad standards. IEEE Transactions on Circuits and Systems II: Express Briefs, 63(1), 9–13. CrossRef
Nguyen-Vuong, Q. T., Agoulmine, N., Cherkaoui, E. H., & Toni, L. (2013). Multicriteria optimization of access selection to improve the quality of experience in heterogeneous wireless access networks. IEEE Transactions on Vehicular Technology, 62(4), 1785–1800. CrossRef
Drissi, M., & Oumsis, M. (2015). Performance evaluation of multi-criteria vertical handover for heterogeneous wireless networks. Intelligent Systems and Computer Vision (ISCV), 2015, 1–5.
Tawil, R., Pujolle, G., & Salazar, O. (2008). A vertical handoff decision scheme in heterogeneous wireless systems. In Vehicular Technology Conference. 2008 VTC Spring 2008. IEEE, 2008, pp. 2626–2630.
TalebiFard, P., & Leung, V. C. M. (2011). A dynamic context-aware access network selection for handover in heterogeneous network environments. In 2011 IEEE conference on computer communications workshops (INFOCOM WKSHPS), 2011, pp. 385–390.
Joe, I., Kim, W., & Hong, S. (2007). A network selection algorithm considering power consumption in hybrid wireless networks. In Proceedings of 16th international conference on computer communications and networks, 2007, ICCCN 2007, pp. 1240–1243.
Li, Y., Guo, X., Li, Y., & Zheng, X. (2009). A utility-based network selection mechanism in heterogeneous wireless networks. In International conference on wireless networks and information systems. WNIS ’09, 2009, pp. 201–204.
Bari, F., & Leung, V. (2007). Application of electre to network selection in a hetereogeneous wireless network environment. In Wireless communications and networking conference, 2007.WCNC 2007. IEEE, pp. 3810–3815.
Kaleem, F., Mehbodniya, A., Islam, A., Yen, K. K., & Adachi, F. (2013). Dynamic target wireless network selection technique using fuzzy linguistic variables. Communications, China, 10(1), 1–16. CrossRef
Tran, P., & Boukhatem, N. (2008). The distance to the ideal alternative (DIA) algorithm for interface selection in heterogeneous wireless networks. In Proceedings of the 6th ACM international symposium on mobility management and wireless access (MobiWac08), pp. 61.–68.
Obayiuwana, E., & Falowo, O. (2015). A multimoora approach to access network selection process in heterogeneous wireless networks. AFRICON, 2015, 1–5.
Martinez-Morales, J. D., Pineda-Rico, U., & Stevens-Navarro, E. (2010). Performance comparison between MADM algorithms for vertical handoff in 4g networks. In 2010 7th International conference on electrical engineering computing science and automatic control (CCE), pp. 309–314.
Anupama, K. S. S., Gowri, S. S., Rao, B. P., & Murali, T. S. (2014). A promethee approach for network selection in heterogeneous wireless environment. In Advances in computing, communications and informatics (ICACCI, 2014 international conference on, 2014, pp. 2560–2564.
Bi, T., Yuan, Z., Trestian, R., & Muntean, G.M. (2015). Uran: Utility-based reputation-oriented access network selection strategy for hetnets. In 2015 IEEE international symposium on broadband multimedia systems and broadcasting (BMSB), pp. 1–6.
Fu, S., Li, J., Li, R., & Ji, Y. (2014). A game theory based vertical handoff scheme for wireless heterogeneous networks. In 2014 10th International conference on mobile ad-hoc and sensor networks (MSN), pp. 220–227.
Ali, C., & Celal, C. (2012). An optimum vertical handoff decision algorithm based on adaptive fuzzy logic and genetic algorithm. Wireless Personal Communications, 64(4), 647–664. CrossRef
Wang, L., & Kuo, G. S. G. S. (2013). Mathematical modeling for network selection in heterogeneous wireless networks a tutorial. IEEE Communications Surveys andTutorials, 15(1), 271–292. CrossRef
Rafik, A., & Oleg, H. (2014). Decision theory with imperfect information. Singapore: World Scientific Publishing Company. MATH
Helou, M. E., Lahoud, S., Ibrahim, M., & Khawam, K. (2013). A hybrid approach for radio access technology selection in heterogeneous wireless networks. In Proceedings of the 2013 19th European wireless conference (EW), pp. 1–6.
Trestian, R., Ormond, O., & Muntean, G. M. (2012). Game theory-based network selection: Solutions and challenges. IEEE Communications Surveys and Tutorials, 14(4), 1212–1231. CrossRef
Mallick, C., Mahapatra, S., Das, R. K., & Das, S. (2012). A seamless vertical handoff algorithm in 4g networks. In 2012 International conference on advanced computer science applications and technologies (ACSAT), pp. 92–99.
ETSI. (2001). Requirements and architectures for interworking between hiperlan/3 and 3rd generation cellular systems. ETSI, Tech. Rep. ETSI TR 101 957 August 2001.
Si, P., Yu, F., Ji, H., & Leung, V. (2009). Optimal network selection in heterogeneous wireless multimedia networks. In IEEE international conference on communications, 2009, ICC ’09, pp. 1–5.
Alkhwlani, M. M., & Ayesh, A. (2007). Access network selection using combined fuzzy control and MCDM in heterogeneous networks. In International Conference on Computer Engineering Systems. ICCES ’07, 2007, pp. 108–113.
Kassar, M., Kervella, B., & Pujolle, G. (2008). An overview of vertical handover decision strategies in heterogeneous wireless networks. Computer Communications, 31(10), 2607–2620. 6/25. CrossRef
Altaf, A., Iqbal, F., Javed, M. Y. (2008). S3h: A secure seamless and soft handover between wimax and 3g networks. In International conference on convergence and hybrid information technology, ICHIT ’08, pp. 530–534.
Louta, M., Zournatzis, P., Kraounakis, S., Sarigiannidis, P., & Demetropoulos, I. (2011). Towards realization of the abc vision: A comparative survey of access network selection. In 2011 IEEE symposium on computers and communications (ISCC), pp. 472–477.
Vogeleer, K. D., Ickin, S., Erman, D., & Fiedler, M. (2010). Perimeter: A user-centric mobility framework. In 2010 IEEE 35th conference on local computer networks (LCN), pp. 625–626.
Khan, M. A., Toseef, U., Marx, S., & Goerg, C. (2010). Game-theory based user centric network selection with media independent handover services and flow management. In Eighth annual communication networks and services research conference (CNSR), pp. 248–255.
Cherkaoui, E. H., Agoulmine, N., Nguyen, T., Toni, L., & Fontaine, J. G. (2011). Taking advantage of the diversity in wireless access networks: On the simulation of a user centric approach. In 2011 IFIP/IEEE international symposium on integrated network management (IM), pp. 1021–1028.
Tuysuz, M. F., & Mantar, H. A. (2013). Network-assisted QOS-based fast handover with smart scanning over IEEE 802.11 WLANS. In 2013 IEEE 24th international symposium on personal indoor and mobile radio communications (PIMRC), pp. 2946–2950.
Jesus, V., Sargento, S., Corujo, D., Senica, N., Almeida, M., Aguiar, R. L. (2007). Mobility with QOS support for multi-interface terminals: Combined user and network approach. In 12th IEEE symposium on computers and communications, 2007, ISCC 2007, pp. 325–332.
Tran, T., Kuhnert, M., & Wietfeld, C. (2012). Energy-efficient handoff decision algorithms for CSH-MU mobility solution. In 2012 21st International conference on computer communications and networks (ICCCN), pp. 1–6.
Abu-Taha, R. (2011). Multi-criteria applications in renewable energy analysis: A literature review. In 2011 Proceedings of PICMET ’11: Technology management in the energy smart world (PICMET), pp. 1–8.
Maaloul, S., Afif, M., & Tabbane, S. (2013). Vertical handover decision policy based on the end user’s perceived quality of service. In 2013 27th International conference on advanced information networking and applications workshops (WAINA), pp. 493–498.
Singh, N. P., & Singh, B. (2014). Vertical handoff decision in 4G wireless networks using multi attribute decision making approach. Wireless Networks, Springer, 20(5), 1203–1211. CrossRef
Pink, M., Sprejz, M., & Koenig, H. (2013). A coordinated group decision for vertical handovers in heterogeneous wireless networks. In International conference on MOBILe wireless MiddleWARE, operating systems and applications (Mobilware), pp. 130–137.
Liu, S. M., Pan, S., Mi, Z. K., Meng, Q. M., & Xu, M. H. (2010). A simple additive weighting vertical handoff algorithm based on SINR and AHP for heterogeneous wireless networks. In 2010 International conference on intelligent computation technology and automation (ICICTA), vol. 1, pp. 347–350.
Khan, M. Q., & Andresen, S. H. (2012). A semi and fully distributed handover algorithm for heterogeneous networks using MIIS. In 2012 IEEE symposium on computers and communications (ISCC), pp. 000145–000150.
Afshari, A., Mojahed, M., & Yusuff, R. M. (2010). Simple additive weighting approach to personnel selection problem. International Journal of Innovation, Management and Technology IACSIT, 1(5), 511–515.
Karam, F. W., & Jensen, T. (2012). Performance analysis of ranking for QOS handover algorithm for selection of access network in heterogeneous wireless networks. In 2012 21st International conference on computer communications and networks (ICCCN), pp. 1–6.
Stevens-Navarro, E., & Wong, V. W. S. (2006) Comparison between vertical handoff decision algorithms for heterogeneous wireless networks. In IEEE 63rd vehicular technology conference, 2006. VTC 2006-Spring, vol. 2, pp. 947–951.
Saaty, T. L. (1980). The analytic hierarchy process. New York: McGraw-Hill. MATH
Podgórski, D. (2015). Measuring operational performance of osh management system a demonstration of ahp-based selection of leading key performance indicators. Safety Science, 73, 146–166. (3). CrossRef
Chantaksinopas, I., Oothongsap, P., & Prayote, A. (2011). Network selection delay comparison of network selection techniques for safety applications on vanet. In 2011 13th Asia-Pacific network operations and management symposium (APNOMS), pp. 1–7.
Ishizaka, P. N. A. (2013). Multi-criteria decision analysis methods and software (1st ed.). London: Wiley. CrossRef
Giner-Santonja, G., Aragonés-Beltrán, P., & Niclós-Ferragut, J. (2012). The application of the analytic network process to the assessment of best available techniques. Journal of Cleaner Production, 25, 86–95. (4). CrossRef
Godse, M., Sonar, R., & Mulik, S. (2008). Web service selection based on analytical network process approach. In Asia-Pacific services computing conference, APSCC ’08. IEEE, pp. 1103–1108.
Lahby, M., Cherkaoui, L., & Adib, A. (2013). An enhanced-topsis based network selection technique for next generation wireless networks. In 2013 20th International conference on telecommunications (ICT), pp. 1–5.
Mohamed, L., Leghris, C., & Adib, A. (2011). A hybrid approach for network selection in heterogeneous multi-access environments. In 2011 4th IFIP international conference on new technologies, mobility and security (NTMS), pp. 1–5.
Mehbodniya, A., Kaleem, F., Yen, K. K., & Adachi, F. (2013). A novel wireless network access selection scheme for heterogeneous multimedia traffic. In 2013 IEEE consumer communications and networking conference (CCNC), pp. 485–489.
Chamodrakas, I., & Martakos, D. (2012). A utility-based fuzzy topsis method for energy efficient network selection in heterogeneous wireless networks. Applied Soft Computing, 12(7), 1929–1938. 7. CrossRef
Charilas, D., Markaki, O., & Tragos, E. (2008). A theoretical scheme for applying game theory and network selection mechanisms in access admission control. In 3rd International symposium on wireless pervasive computing, 2008. ISWPC 2008, pp. 303–307.
Falowo, O. E., & Chan, H. A. (2011). Rat selection for multiple calls in heterogeneous wireless networks using modified topsis group decision making technique. In 2011 IEEE 22nd international symposium on personal indoor and mobile radio communications (PIMRC), pp. 1371–1375.
Yang, S., & Tseng, W. (2011). Utilizing weighted rating of multiple attributes scheme to enhance handoff efficiency in heterogeneous wireless networks. In 2011 International conference on wireless communications and signal processing (WCSP), pp. 1–6.
Bari, F., & Leung, V. (2007). Multi-attribute network selection by iterative topsis for heterogeneous wireless access. In 4th IEEE consumer communications and networking conference, 2007. CCNC 2007, pp. 808–812.
Dhar, J., & R. K. S, and Y. R. K (2007) Network selection in heterogeneous wireless environment: A ranking algorithm. In Third international conference on wireless communication and sensor networks, 2007. WCSN ’07, pp. 41–44.
Hashemi, S. H., Karimi, A., & Tavana, M. (2015). An integrated green supplier selection approach with analytic network process and improved grey relational analysis. International Journal of Production Economics, 159, 178–191. 1. CrossRef
McLachlan, G. J. (1999). Mahalanobis distance. Resonance, 4(6), 20–26. CrossRef
Sousa, B., Pentikousis, K., & Curado, M. (2014). Methodical: Towards the next generation of multihomed applications. Computer Networks, 65, 21–40. 6/2. CrossRef
Kapepula, K.-M., Colson, G., Sabri, K., & Thonart, P. (2007). A multiple criteria analysis for household solid waste management in the urban community of Dakar. Waste Management, 27(11), 1690–1705. CrossRef
Alencar, L., & Almeida, A. (2011). Supplier selection based on the PROMETHEE vi multicriteria method. In Evolutionary multi-criterion optimization: 6th international conference, April 5–8, pp. 608–618. Berlin Heidelberg: Springer.
Albuquerque, P. M. (2015). PROMETHEE IV as a decision analyst’s tool for site selection in civil engineering, ser. Decision Models in Engineering and Management (pp. 257–267). Berlin: Springer International Publishing.
Abedi, M., Torabi, S. A., Norouzi, G.-H., Hamzeh, M., & Elyasi, G.-R. (2012). Promethee II: A knowledge-driven method for copper exploration. Computers and Geosciences, 46, 255–263. (9). CrossRef
Kilic, H. S., Zaim, S., & Delen, D. (2015). Selecting the best ERP system for smes using a combination of ANP and PROMETHEE methods. Expert Systems with Applications, 42(5), 2343–2352. (4/1). CrossRef
Brans, J. P., & Mareschal, B. (1990). The Promethee Methods for MCDM; The Promcalc, Gaia And Bankadviser Software, ser. Readings in Multiple Criteria Decision Aid. Berlin, Heidelberg: Springer, pp. 216–252.
Marzouk, M. M. (2011). ELECTRE III model for value engineering applications. Automation in Construction, 20(5), 596–600. 8. CrossRef
Zandi, A., & Roghanian, E. (2013). Extension of fuzzy electre based on vikor method. Computers and Industrial Engineering, 66(2), 258–263. CrossRef
Ahmad, A., Rathore, M. M., Paul, A., Rho, S., Imran, M., & Guizani, M. (2015). A multi-parameter based vertical handover decision scheme for M2M communications in HeTMANET. IEEE Global Communications Conference (GLOBECOM), 2015, 1–8.
Markaki, O., Charilas, D., & Nikitopoulos, D. (2007). Enhancing quality of experience in next generation networks through network selection mechanisms. In IEEE 18th international symposium on personal, indoor and mobile radio communications, 2007. PIMRC 2007. pp. 1–5.
Zhang, D., Zhang, Y., vLvv, N., & He, Y. (2013). An access selection algorithm based on gra integrated with fahp and entropy weight in hybrid wireless environment. In 2013 7th International conference on application of information and communication technologies (AICT), pp. 1–5.
Lahby, M., & Adib, A. (2013). Network selection mechanism by using m-ahp/gra for heterogeneous networks. In 2013 6th Joint IFIP wireless and mobile networking conference (WMNC), pp. 1–6.
Zhang, P., Zhou, W., Xie, B., & Song, J. (2010). A novel network selection mechanism in an integrated WLAN and UMTS environment using AHP and modified GRA. In 2010 2nd IEEE international conference on network infrastructure and digital content, pp. 104–109.
Jiang, W., Cui, H., Yan, Q., Wang, X., & Chen, J. (2008). A novel application-oriented dynamic network selection in an integrated umts and wimax environment. In Third international conference on communications and networking in China, ChinaCom 2008, pp. 158–161.
Kim, D., & Ganz, A. (2005). Architecture for 3G and 802.16 wireless networks integration with qos support. In Second international conference on quality of service in heterogeneous wired/wireless networks, 2005, pp. 8–28.
Khan, M., Jung, C., Uzoh, P. C., Zhenbo, C., Kim, J., Yoon, Y., et al. (2015). Enabling vertical handover management based on decision making in heterogeneous wireless networks, in. International Wireless Communications and Mobile Computing Conference (IWCMC), 2015, 952–957.
Opricovic, G. H. T. S. (2002). Multiple criteria planning of post-earthquake sustainable reconstruction. Journal of Computer-Aided Civil and Infrastructure Engineering, 17(3), 211–220. CrossRef
Sasirekha, V., & Ilanzkumaran, M. (2013). Heterogeneous wireless network selection using FAHP integrated with topsis and vikor. In International conference on pattern recognition, informatics and mobile engineering (PRIME, pp. 399–407.
Mehbodniya, A., Kaleem, F., Yen, K. K., & Adachi, F. (2013). A fuzzy extension of vikor for target network selection in heterogeneous wireless environments. Physical Communication, 7, 145–155. 6. CrossRef
Baghla, S., & Bansal, S. (2014). Effect of normalization techniques in vikor method for network selection in heterogeneous networks. In IEEE international conference on computational intelligence and computing research (ICCIC), pp. 1–6.
Brauers, W., & Zavadskas, E. K. (2010). Project management by MULTIMOORA as an instrument for transition economies. Baltic Journal on Sustainability, Technological and Economic Development of Economy, 16(1), 5–24. CrossRef
Balezentis, T., & Balezentis, A. (2014). A survey on development and applications of the multi-criteria decision making method multimoora. Journal of Multi-Criteria Decision Analysis, 21(3–4), 209–222. CrossRef
Brauers, W. K. M., Zavadskas, E. K., & Kildiene, S. (2014). Was the construction sector in 20 European countries anti-cyclical during the recession years 2008–2009 as measured by multicriteria analysis (MULTIMOORA). Procedia Computer Science, 31, 949–956. CrossRef
Manisha & Singh, N. P. (2015). Optimal network selection using MADM algorithms. In 2015 2nd International Conference on Recent Advances in Engineering and Computational Sciences (RAECS), pp. 1–6.
He, Q. (2010). A fuzzy logic based vertical handoff decision algorithm between WWAN and WLAN. In 2010 2nd International Conference on Networking and Digital Society (ICNDS), vol. 2, pp. 561–564.
Falowo, O. E., & Chan, H. A. (2012). Effect of call dynamics of a multiservice multimode terminal on rat selection in heterogeneous wireless networks, in Global Communications Conference (GLOBECOM). IEEE, 2012, 5249–5253.
Tran, P., & Boukhatem, N. (2008). Comparison of MADM decision algorithms for interface selection in heterogeneous wireless networks. In 16th International Conference on Software, Telecommunications and Computer Networks, 2008. SoftCOM 2008, pp. 119–124.
Wang, L., & Kuo, G. (2013). Mathematical modeling for network selection in heterogeneous wireless networks a tutorial. IEEE Communications Surveys and Tutorials, 15(1), 271–292. CrossRef
Bari, F., & Leung, V. C. M. (2007). Use of non-monotonic utility in multi-attribute network selection. In Wireless telecommunications symposium, 2007. WTS, pp. 1–8.
Chamodrakas, I., & Martakos, D. (2011). A utility-based fuzzy topsis method for energy efficient network selection in heterogeneous wireless networks. Applied Soft Computing, 11(4), 3734–3743. 6. CrossRef
Sharna, S. A., & Murshed, M. M. (2010). Performance analysis of vertical handoff algorithms with QOS parameter differentiation. In 2010 12th IEEE international conference on high performance computing and communications (HPCC), pp. 623–628.
Wang, L., & Binet, D. (2009). MADM-based network selection in heterogeneous wireless networks: A simulation study. In 1st International conference on wireless communication, vehicular technology, information theory and aerospace and electronic systems technology, 2009. Wireless VITAE 2009, pp. 559–564.
Lahby, M., Cherkaoui, L., & Adib, A. (2014). Performance analysis of normalization techniques for network selection access in heterogeneous wireless networks. In 2014 9th International conference on intelligent systems: Theories and applications (SITA-14), pp. 1–5.
Datta, S., Dhar, S., Bera, R. N., & Ray, A. (2012). ANP based vertical handover algorithm for vehicular communication. In 2012 1st International Conference on Recent Advances in Information Technology (RAIT), pp. 228–234.
- Network selection in heterogeneous wireless networks using multi-criteria decision-making algorithms: a review
Olabisi Emmanuel Falowo
- Springer US
Neuer Inhalt/© Filograph | Getty Images | iStock