Abstract
Wireless mobile devices require a sufficiently intelligent handover decision system to achieve seamless mobility in heterogeneous wireless networking environment. One of the intelligent techniques known as fuzzy logic is utilized to enhance the intelligence of handover decision system (HDS) in such environment. Most existing fuzzy decision engines for HDS are based on an inflexible design philosophy; using a fixed set of decision rules and fuzzy membership functions. Such design leads to an unacceptable algorithm execution time if there are a large number of decision parameters involved in a decision making process. Additionally, the said design also gives a degraded network selection performance when a decision engine needs to handle different traffic types. In this work, a modular and an adaptive design philosophies are presented to address the said issues. The proposed design yields a lower algorithm execution time and at the same time improves the network selection capability.
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Calhan, A., & Ceken, C. (2012). An optimum vertical handoff decision algorithm based on adaptive fuzzy logic and genetic algorithm. Wireless Personal Communications, 64, 647–664.
Sari, S., Daruwala, R. D., Palav, T., & Mule, P. (2016). A hybrid vertical handoff decision algorithm for seamless mobility in heterogeneous wireless networks. In Proceedings of 2016 international conference on wireless communications, signal processing and networking (WiSPNET) (pp. 1921–1923).
Bouali, T., & Senouci, S. M. (2016). A fuzzy logic-based communication medium selection for QoS preservation in vehicular networks. In Proceedings of 2016 IEEE International Conference on Communications (ICC) (pp. 1–6).
Lukic, M., Janicijevic, N., & Mezei, I. (2011). Improved decision making in WSN based on localized auctions and fuzzy logic. In Proceedings of 19th Telecommunications Forum (TELFOR) (pp. 238–241).
Othman, S., & Schneider, E. (2010). Decision making using fuzzy logic for stock trading. In Proceedings of international symposium in information technology (ITSim) (pp. 880–884).
Seker, H., Odetayo, M. O., Petrovic, D., & Naguib, R. N. G. (2003). A fuzzy logic based-method for prognostic decision making in breast and prostate cancers. IEEE Transactions on Information Technology in Biomedicine, 7(2), 114–122.
Todinca, D., & Cernazanu-Glavan, C. (2013). Novel network selection algorithm based on fuzzy inference. In Proceedings of IEEE 8th international symposium on applied computational intelligence and informatics (SACI) (pp. 467–472).
Monil, M.A.H., Qasim, R., & Rahman, R.M. (2013). Speed and direction based fuzzy handover system. In Proceedings of IEEE international conference on fuzzy system (pp. 1–8).
Thumthawatworn, T., Pervez, A., & Santiprabhob, P. (2011). Modular handover decision system based on fuzzy logic for wireless networks. In Proceedings of the 8th electrical engineering/electronics, computer, telecommunications and information technology conference (ECTI-CON) (pp. 385–388).
Thumthawatworn, T., Pervez, A., & Santiprabhob, P. (2013). Adaptive modular fuzzy-based handover decision system for heterogeneous wireless network. International Journal of Networks and Communications, 3(1), 25–38.
Thumthawatworn, T., Tillapart, P., & Santiprabhob, P. (2015) Enhanced fuzzy-based handover decision system design for wireless mobile networks. In Proceedings of 2015 seventh conference on ubiquitous and future networks (ICUFN) (pp. 491–496).
Sanaye-Pasand, M., & Jafarian, P. (2011). An adaptive decision logic to enhance distance protection of transmission lines. IEEE Transactions on Power Delivery, 26(4), 2134–2144.
Ezzouhairi, A., Quintero, A., & Pierre, S. (2008). A fuzzy decision making strategy for vertical handoffs. In Proceedings of canadian conference on electrical and computer engineering (CCECE) (pp. 583–588).
Chan, P., Hu, Y., & Sheriff, R. (2012). Implementation of fuzzy multiple objective decision making algorithm in a heterogeneous mobile environment. In Proceedings of IEEE wireless communications and networking conference (pp. 332–336).
Radhika, K., & Reddy, A.V.G. (2011). Network selection in heterogeneous wireless networks based on fuzzy multiple criteria decision making. In Proceedings of 3rd international conference on electronics computer technology (ICECT) (pp. 136–139).
Ben Zineb, A., Ayadi, M., & Tabbane, S. (2015). Fuzzy MADM based vertical handover algorithm for enhancing network performances. In Proceedings of 23rd international conference on software, telecommunications and computer networks (SoftCOM 2015) (pp. 153–159).
Bayrakdar, M. E., & Calhan, A. (2015). Fuzzy logic based spectrum handoff decision for prioritized secondary users in cognitive radio networks. In Proceedings of 2015 fifth international conference on digital information processing and communications (ICDIPC) (pp. 71–76).
Kwong, C. F., Chuah, T. C., Tan, S. W., & Akbari-Moghanjoughi, A. (2016). An adaptive fuzzy handover triggering approach for Long-Term Evolution network. Expert Systems, 33(1), 30–45.
Kantubukta, V., Maheshwari, S., Mahapatra, S., & Kumar, C. S. (2013). Energy and quality of service aware FUZZY-technique for order preference by similarity to ideal solution based vertical handover decision algorithm for heterogeneous wireless networks. IET Networks, 2(3), 103–114.
Singhrova, A., & Prakash, N. (2009). Adaptive vertical handoff decision algorithm for wireless heterogeneous networks. In Proceedings of 11th IEEE international conference on high performance computing and communications (pp. 476–481).
Jie, S., & Liangrui, T. (2010). A triangle module operator and fuzzy logic based handoff algorithm for heterogeneous wireless networks. In Proceedings of 12th IEEE international conference on communication technology (ICCT) (pp. 488–491).
Ceken, C., & Arslan, H. (2009) An adaptive fuzzy logic based vertical handoff decision algorithm for wireless heterogeneous networks. In Proceedings of 10th IEEE wireless and microwave technology conference (pp. 1–9).
Vasu, K., Maheshwari, S., Mahapatra, S., & Kumar, C. S. (2011). QoS aware fuzzy rule based vertical handoff decision algorithm for wireless heterogeneous networks. In Proceedings of 17th national conference on communications (NCC) (pp. 1–5).
Thumthawatworn, T., Pervez, A., & Santiprabhob, P. (2014). Enhanced adaptive traffic dependent handover decision system for wireless mobile networks. International Journal on Advances in Networks and Services, 7(1&2), 118–128.
Zadeh, L. A. (1965). Information and control. Fuzzy Logic, 8(3), 338–353.
Takagi, T., & Sugeno, M. (1985). Fuzzy identification of systems and its applications to modeling and control. IEEE Transactions on Systems Man And Cybernetics, 15(1), 116–132.
Mamdani, E., & Assilian, S. (1975). An experiment in linguistic synthesis with a fuzzy logic controller. International Journal of Man-Machine Studies, 7(1), 1–13.
Ross, T. (2010). Fuzzy logic with engineering application (3rd ed.). New York: Wiley.
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The authors would like to express their thanks to Vincent Mary School of Science and Technology, Assumption University, Thailand for providing the full support.
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Thumthawatworn, T., Tillapart, P. & Santiprabhob, P. Adaptive Multi-fuzzy Engines for Handover Decision in Heterogeneous Wireless Networks. Wireless Pers Commun 93, 1005–1026 (2017). https://doi.org/10.1007/s11277-017-3963-3
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DOI: https://doi.org/10.1007/s11277-017-3963-3