Radio Access Technology Selection in Heterogeneous Wireless Networks Using a Hybrid Fuzzy-Biogeography Based Optimization Technique

详细信息    查看全文

• 作者：S. Sangeetha ; T. Aruldoss Albert Victoire
• 关键词：Radio access technology (RAT) ; Parallel fuzzy systems (PFSs) ; Heterogeneous wireless networks ; Non ; homogenous biogeography based optimization (NHBBO)
• 刊名：Wireless Personal Communications
• 出版年：2016
• 出版时间：March 2016
• 年：2016
• 卷：87
• 期：2
• 页码：399-417
• 全文大小：941 KB
• 参考文献：1.Al Sabbagh, A. L., Braun, R., & Abolhasan, M. (2014). Intelligent hybrid cheapest cost and mobility optimization RAT selection approaches for heterogeneous wireless networks. Journal of Networks, 9(2), 297–305.CrossRef
  2.Gharsellaoui, A., Chahine, M. K., & Mazzini, G. (2012). Optimizing radio access network selection in WLAN and 3G networks. In International conference on communications and information technology (ICCIT) (pp. 265–269).
  3.Lahby, M., Cherkaoui, L., & Adib, L. (2012). Reducing handover metrics for access network selection in heterogeneous wireless networks. In International conference on innovative computing technology (pp. 75–80).
  4.Moety, F., Ibrahim, M., Lahoud, S., & Khawam, K. (2012). Distributed heuristic algorithms for RAT selection in wireless heterogeneous networks. In Wireless communications and networking conference (WCNC) (pp. 2220–2224). IEEE.
  5.Pacheco-Paramo, D., Pla, V., Casares-Giner, V., & Martinez-Bauset, J. (2013). Optimal radio access technology selection on heterogeneous networks. Physical Communication, 5(3), 253–271.CrossRef
  6.Aryafar, E., Keshavarz-Haddad, A., Wang, M., & Chiang, M. (2013). RAT selection games in HetNets. In INFOCOM, 2013 Proceedings IEEE (pp. 998–1006).
  7.Carvalho, G. H., Woungang, I., Anpalagan, A., Coutinho, R. W., & Costa, J. C. (2013). A semi-Markov decision process-based joint call admission control for inter-RAT cell re-selection in next generation wireless networks. Computer Networks, 57(17), 3545–3562.CrossRef
  8.Carvalho, G. H., Woungang, I., Obaidat, M. S., Anpalagan, A., & Rahman, M. M. (2013). A joint call admission control-based approach for initial RAT selection in HetNets. In International conference on computer, information and telecommunication systems (CITS) (pp. 1–5).
  9.El Helou, M., Ibrahim, M., Lahoud, S., & Khawam, K. (2014). Optimizing network information for radio access technology selection. In IEEE symposium on computers and Communication (ISCC) (pp. 1–6).
  10.El Helou, M., Ibrahim, M., Lahoud, S., & Khawam, K. (2013). Radio access selection approaches in heterogeneous wireless networks. In IEEE 9th international conference on wireless and mobile computing, networking and communications (WiMob) (pp. 521–528).
  11.Tseng, L. C., Chien, F. T., Zhang, D., Chang, R. Y., Chung, W. H., & Huang, C. (2013). Network selection in cognitive heterogeneous networks using stochastic learning. Communications Letters, IEEE, 17(12), 2304–2307.
  12.Wong, W.-T, Pang, A.-C., Hsu, M.-R. (2013). RAT selection for heterogeneous wireless networks using support vector machine. In Proceedings of the 2013 research in adaptive and convergent systems (pp. 220–225).
  13.Yassin, M., Ibrahim, M., & Lahoud, S. (2013). A hybrid approach for RAT selection in wireless heterogeneous networks. In Third international conference on communications and information technology (ICCIT) (pp. 290–294).
  14.Aymen, B. Z., Ayadi, M., & Tabbane, S. (2014). A fuzzy logic algorithm for RATs selection procedures. In The 2014 international symposium on networks, computers and communications (pp. 1–5).
  15.El Helou, M., 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).
  16.Kosmides, P., Rouskas, A., & Anagnostou, M. (2014). Utility-based RAT selection optimization in heterogeneous wireless networks. Pervasive and Mobile Computing, 12, 92–111.CrossRef
  17.Al Sabbagh, A., Braun, R., & Abolhasan, M. (2012). A power efficient RAT selection algorithm for heterogeneous wireless networks. In International symposium on communications and information technologies (ISCIT) (pp. 997–1002).
  18.Song, Y. H., & Johns, A. T. (1997). Applications of fuzzy logic in power systems. Part 1: general introduction to fuzzy logic. Power Engineering Journal, 11(5), 219–222.CrossRef
  19.Alkhawlani, M. (2011). Access network selection based on heterogeneous networks. Düsseldorf: VDM Verlag.
  20.Alkhawlani, M., & Ayesh, A. (2008). Access network selection based on fuzzy logic and genetic algorithms. Advances in Artificial Intelligence, 8(1), 1–10.CrossRef
  21.Alkhawlani, M., & Ayesh, A. (2008). Access Network Selection For co-existed WWAN, WMAN, and WLAN using combined fuzzy logic and AHP. International Journal of Innovative Computing and Applications (IJICA), 1(4), 219–231.CrossRef
  22.Simon, D. (2008). Biogeography-based optimization. IEEE Transactions on Evolutionary Computation, 12(6), 702–713.CrossRef
  23.Tudzarov, A., & Janevski, T. (2010). M-RATS: Mobile-based radio access technology selector for heterogeneous wireless environment. In 18th Telecommunications forum, Serbia, Belgrade, November 23-25, 2010.
  24.Tudzarov, A., & Janevski, T. (2011). Efficient radio access technology selection for the next generation wireless networks. International Journal of Research and Reviews in Next Generation Networks, 1(1), 14–25.
  25.Cordón, O., & Herrera, F. (2001). Hybridizing genetic algorithms with sharing scheme and evolution strategies for designing approximate fuzzy rule-based systems. Fuzzy Sets and Systems, 118(2), 235–255.CrossRef MathSciNet MATH
  
• 作者单位：S. Sangeetha (1)
  T. Aruldoss Albert Victoire (2)
  
  1. Department of Computer Science and Engineering, Anna University, Chennai, 600 025, India
  2. Department of Electrical and Electronics Engineering, Anna University Regional Center, Coimbatore, 641 047, India
  
• 刊物类别：Engineering
• 刊物主题：Electronic and Computer Engineering
  Signal,Image and Speech Processing
  Processor Architectures
  
• 出版者：Springer Netherlands
• ISSN：1572-834X

文摘

Radio access technology (RAT) selection in heterogeneous wireless networks is a challenging task to achieve guaranteed quality of service (QoS). This paper proposes a hybrid methodology in order to accomplish QoS through high service connectivity and reliable network transparency in a wireless heterogeneous system. The proposed hybrid methodology integrates a non-homogenous biogeography based optimization (NHBBO) with a parallel fuzzy system (PFS). The PFSs are employed to determine the probability of RAT selection, which acts as an input to the NHBBO procedure. Thus the NHBBO decide over the defined multi-point decision making algorithm to select the best RAT in the given heterogeneous network. The key role of the proposed technique is to optimize the weight coefficients of multi-point decision making algorithm and ensure maximum user satisfaction ratio to select best RAT. Several experiments are carried out using the proposed NHBBO–PFS technique to demonstrate the effectiveness and robustness in producing solutions compared to a few existing methods for RAT selection in heterogeneous wireless networks.