KSII Transactions on Internet and Information Systems (TIIS)

Korean Society for Internet Information (한국인터넷정보학회)
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A Multi-Attribute Intuitionistic Fuzzy Group Decision Method For Network Selection In Heterogeneous Wireless Networks Using TOPSIS

  • Prakash, Sanjeev (Department of Computer Science and Engineering, Sant Longowal Institute of Engineering and Technology) ;
  • Patel, R.B. (Department of Computer Science and Engineering, Chandigarh College of Engineering and Technology) ;
  • Jain, V.K. (Department of Electrical and Instrumentation Engineering, Sant Longowal Institute of Engineering and Technology)
  • Received : 2016.05.09
  • Accepted : 2016.10.18
  • Published : 2016.11.30
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Abstract

With proliferation of diverse network access technologies, users demands are also increasing and service providers are offering a Quality of Service (QoS) to satisfy their customers. In roaming, a mobile node (MN) traverses number of available networks in the heterogeneous wireless networks environment and a single operator is not capable to fulfill the demands of user. It is crucial task for MN for selecting a best network from the list of networks at any time anywhere. A MN undergoes a network selection situation frequently when it is becoming away from the home network. Multiple Attribute Group Decision (MAGD) method will be one of the best ways for selecting target network in heterogeneous wireless networks (4G). MAGD network selection process is predominantly dependent on two steps, i.e., attribute weight, decision maker's (DM's) weight and aggregation of opinion of DMs. This paper proposes Multi-Attribute Intuitionistic Fuzzy Group Decision Method (MAIFGDM) using TOPSIS for the selection of the suitable candidate network. It is scalable and is able to handle any number of networks with large set of attributes. This is a method of lower complexity and is useful for real time applications. It gives more accurate result because it uses Intuitionistic Fuzzy Sets (IFS) with an additional parameter intuitionistic fuzzy index or hesitant degree. MAIFGDM is simulated in MATLAB for its evaluation. A comparative study of MAIFDGM is also made with TOPSIS and Fuzzy-TOPSIS in respect to decision delay. It is observed that MAIFDGM have low values of decision time in comparison to TOPSIS and Fuzzy-TOPSIS methods.

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References

  1. M. Kassar, B. Kervella, & G. Pujolle, "An overview of vertical handover decision strategies in heterogeneous wireless networks," Computer Communications, 31(10): 2607-2620, 2008. https://doi.org/10.1016/j.comcom.2008.01.044
  2. Anna Marie Vegni, Gabriele Tamea, Tiziano Inzorilli and Roberto Causani, "A combined Vertical Handover Decision Metric for QoS Enhancement in next Generation Network," in Proc. of IEEE international conference on wireless and mobile computing, Networking and Communication, pp. 233-238, Oct 12, 2009.
  3. Q. Song, & A. Jamalipour, "Network selection in an integrated wireless LAN and UMTS environment using mathematical modeling and computing techniques," Wireless Communications, IEEE, 12(3): 42-48, 2005.
  4. Ben-Jye Chang and Jun-Fu chen, "Cross-Layer Based Adaptive Vertical Handoff with Predictive RSS in Heterogeneous wireless Network," IEEE Transaction on Vehicular Technology, vol. 57, no. 6, November 2008.
  5. Q. Yu, W. Jiang, & Z. Xiao, "3G and WLAN heterogeneous network handover based on the location information," in Proc. of IEEE International Conference on Communications, Circuits and Systems (ICCCAS), vol. 2, pp. 50-54, 2013.
  6. X. Li, & R. Chen, "Adaptive vertical handover algorithm based on user experience for heterogeneous network," in Proc. of 6th IEEE International Congress on Image and Signal Processing (CISP), vol. 3, pp. 1540-1544, 2013.
  7. A. Calhan, & C. Ceken, "Case study on handoff strategies for wireless overlay networks," Computer Standards & Interfaces, 35(1): 170-178, 2013. https://doi.org/10.1016/j.csi.2012.06.002
  8. S.J. Yoo, D. Cypher, & N.Golmie, "Timely effective handover mechanism in heterogeneous wireless networks," Wireless Personal Communications, 52(3): 449-475, 2010. https://doi.org/10.1007/s11277-008-9633-8
  9. F.E. Boran, S. Genc, M. Kurt, and D. Akay, "A multi-criteria intuitionistic fuzzy group decision making for supplier selection with TOPSIS method," Expert Systems with Applications, 36(8): 11363-11368, 2009. https://doi.org/10.1016/j.eswa.2009.03.039
  10. F. Bari, & V. Leung, "Automated network selection in a heterogeneous wireless network environment," IEEE Network, 21(1): 34-40, 2007. https://doi.org/10.1109/MNET.2007.314536
  11. X.Yan, N. Mani, & Y.A. Sekercioglu, "A method for minimizing unnecessary handovers in heterogeneous wireless networks," in Proc. of IEEE International Symposium on World of Wireless, Mobile and Multimedia Networks (WoWMoM), pp.1-5, Jun 23, 2008.
  12. S. Mohanty and I. Akyildiz, "A cross-layer (layer 2 + 3) handoff management protocol for next-generation wireless systems," IEEE Trans. Mobile Computing, 2006.
  13. Z. Becvar, P. Mach, and B. Simak, "Improvement of handover prediction in mobile WiMax by using two thresholds," Comput. Networks., 55(16): 3759-3773, 2011. https://doi.org/10.1016/j.comnet.2011.03.020
  14. Sahana Bhosale, and Rohin Daruwala, "Multi-criteria Vertical Handoff Decision Algorithm Using Hierarchy Modeling and Additive Weighting in an Integrated WLAN/WiMAX/UMTS Environmen-A Case Study," KSII T Internet Info 8(1):35-37, 2014.
  15. B.-J. Chang, J.-F. Chen, C.-H. Hsieh, and Y.-H. Liang, "Markov decision process-based adaptive vertical handoff with RSS prediction in heterogeneous wireless networks," in Proc. of IEEE Wireless Communications and Networking Conference, pp. 1-6, Apr 5, 2009.
  16. A. H. Zahran, B. Liang, and A. Saleh, "Signal threshold adaptation for vertical handoff in heterogeneous wireless networks," Mobile Networks and Applications., 11(4): 625-640, 2006. https://doi.org/10.1007/s11036-006-7326-7
  17. Sanjeev Prakash, R B Patel, V. K. Jain, "Intelligent Mobility Management Model for Heterogeneous Wireless Networks," International Journal of Advanced Computer Science and Applications, 6(12): 190-196, 2015.
  18. I. Chamodrakas, and D. Martakos, "A utility-based fuzzy TOPSIS method for energy efficient network selection in heterogeneous wireless networks," Applied Soft Computing, 12(7): 1929-1938, 2012. https://doi.org/10.1016/j.asoc.2012.04.016
  19. Hasan Tuncer, Sumita Mishra, and Nirmala Shenoy. "A survey of identity and handoff management approaches for the future Internet," Computer Communications 36(1): 63-79, 2012. https://doi.org/10.1016/j.comcom.2012.07.017
  20. W. Chen, J. Liu, H. Huang, "An adaptive scheme for vertical handoff in wireless overlay networks," in Proc. of 10th International Conference on Parallel and Distributed Systems, (ICPADS), pp. 541-548, Jul 7, 2004.
  21. Mariem Zekri, Badii Jouaber, and Djamal Zeghlache, "A review on mobility management and vertical handover solutions over heterogeneous wireless networks," Computer Communications, 35(17): 2055-2068, 2012. https://doi.org/10.1016/j.comcom.2012.07.011
  22. Ahmed, Atiq, Leila Merghem Boulahia and Dominique Gaiti, "Enabling Vertical Handover Decisions in Heterogeneous Wireless Networks: A State-of-the-Art and A Classification," IEEE Communications Surveys & Tutorials, 16(2):776-811, 2014. https://doi.org/10.1109/SURV.2013.082713.00141
  23. G.-H.Tzeng,J.-J.Huang, "Multiple Attribute Decision Making: Methods and Appliations, CRC Press, Taylor & Francis Group," June 2011.
  24. M.Behzadiana, S.K.Otaghsara, M.Yazdani, J.Ignatius, "Astate-ofthe-art survey of TOPSIS applications," Expert Systems with. Applications, 39(17): 13051-13069, 2012. https://doi.org/10.1016/j.eswa.2012.05.056
  25. Y.Kuo,T.Yang,G.-W.Huang, "The use of grey relational analysis in solving multiple attribute decision-making problems," Computers & Industrial Engineering, 55(1): 80-93, 2008. https://doi.org/10.1016/j.cie.2007.12.002
  26. K.T. Atanassov, "Intuitionistic Fuzzy Sets," Fuzzy Sets and Systems, 20(1):87-96, 1986. https://doi.org/10.1016/S0165-0114(86)80034-3
  27. K.T. Atanassov, S. Stoeva, "Intuitionistic fuzzy set," in Proc. of Polish Symposium on Interval and Fuzzy Mathematics, Poznan, pp. 23-26, 1993.
  28. Z.S. Xu, "Intuitionistic fuzzy aggregation operators," IEEE Transaction of Fuzzy Systems, 15(6): 1179-1187, 2007. https://doi.org/10.1109/TFUZZ.2006.890678
  29. C.L. Hwang, M.J. Lin, Group Decision Making under Multiple Criteria: Methods and Applications, Springer Science & Business Media, 2012.
  30. C. Kobashikawa, Y. Hatakeyama, F. Dong, K. Hirota, "Fuzzy algorithm for group decision making with participants having finite discriminating abilities," IEEE Transactions on Systems, Man, And Cybernetics-Part A: Systems and Humans, 39 (1):86-95, 2009. https://doi.org/10.1109/TSMCA.2009.2007946
  31. Shi-fang Zhang and San-yang Liu, "A GRA-based intuitionistic fuzzy multi-criteria group decision making method for personnel selection," Expert Systems with Applications 38(9): 11401-11405, 2011. https://doi.org/10.1016/j.eswa.2011.03.012
  32. Y. Wanga, H. Lee, "Generalizing TOPSIS for fuzzy multiple-criteria group decision-making," Computers and Mathematics with Applications, 53 (11): 1762-1772, 2007. https://doi.org/10.1016/j.camwa.2006.08.037
  33. Jian Shen, Haowen Tan, Jin Wang, Jinwei Wang, and Sungyoung Lee, "A Novel Routing Protocol Providing Good Transmission Reliability in Underwater Sensor Networks," Journal of Internet Technology, vol. 16, no. 1, pp. 171-178, 2015.
  34. Yuhui Zheng, Byeungwoo Jeon, Danhua Xu, Q.M. Jonathan Wu, and Hui Zhang, "Image segmentation by generalized hierarchical fuzzy C-means algorithm," Journal of Intelligent and Fuzzy Systems, vol .28, no. 2, pp. 961-973, 2015.
  35. Zhihua Xia, Xinhui Wang, Xingming Sun, Quansheng Liu, and Naixue Xiong, "Steganalysis of LSB matching using differences between nonadjacent pixels," Multimedia Tools and Applications, vol. 75, no. 4, pp. 1947-1962, 2016. https://doi.org/10.1007/s11042-014-2381-8
  36. Shengdong Xie and Yuxiang Wang, "Construction of Tree Network with Limited Delivery Latency in Homogeneous Wireless Sensor Networks," Wireless Personal Communications, vol. 78, no. 1, pp. 231-246, 2014. https://doi.org/10.1007/s11277-014-1748-5
  37. Wu Deng, Huimin Zhao, Jingjing Liu, Xiaolin Yan,Yuanyuan Li, Lifeng Yin, Chuanhua Ding, "An improved CACO algorithm based on adaptive method and multi-variant strategies," Soft Computing,19(3):701-713,2015. https://doi.org/10.1007/s00500-014-1294-9
  38. Zhihua Xia, Xinhui Wang, Xingming Sun, and Baowei Wang, "Steganalysis of least significant bit matching using multi-order differences," Security and Communication Networks, vol. 7, no. 8, pp. 1283-1291, 2014. https://doi.org/10.1002/sec.864
  39. Tinghuai Ma, Jinjuan Zhou, Meili Tang, Yuan Tian, Abdullah Al-Dhelaan, Mznah Al-Rodhaan, and Sungyoung Lee, "Social network and tag sources based augmenting collaborative recommender system," IEICE transactions on Information and Systems, vol. E98-D, no.4, pp. 902-910, Apr. 2015. https://doi.org/10.1587/transinf.2014EDP7283
  40. Zhihua Xia, Xinhui Wang, Xingming Sun, and Qian Wang, "A Secure and Dynamic Multi-keyword Ranked Search Scheme over Encrypted Cloud Data," IEEE Transactions on Parallel and Distributed Systems, vol. 27, no. 2, pp. 340-352, 2015. https://doi.org/10.1109/TPDS.2015.2401003
  41. Najam UL Hasan, Waleed Ejaz, Naveed Ejaz, Hyung Seok Kim, Alagan Anpalagan, Minho Jo, "Network Selection and Channel Allocation for Spectrum Sharing in 5G Heterogeneous Networks," IEEE Access, Vol. 4, pp. 980-992, March 2016. https://doi.org/10.1109/ACCESS.2016.2533394
  42. Minho Jo, Taras Maksymyuk, Rodrigo L. Batista, Tarcisio F. Maciel, Andre L.F. De Almeida, Mykhailo Klymash, "A Survey of Converging Solutions for Heterogeneous Mobile Networks," IEEE Wireless Communications, Vol 21, No 8, pp.54-62, December 2014.
  43. Minho Jo, Longzhe Han, Dohoon Kim, and Hoh Peter In. "Selfish attacks and detection in cognitive radio ad-hoc networks," IEEE network, 27(3): 46-50, 2013. https://doi.org/10.1109/MNET.2013.6523808
  44. Aymen Ben Zineb, Mohamed Ayadi, and Sami Tabbane, "Fuzzy MADM based vertical handover algorithm for enhancing network performances," Software, Telecommunications and Computer Networks (SoftCOM), in Proc. of 2015 23rd International Conference on,, IEEE , pp. 153-159, Sep 16,2015.
  45. Patel, R. B., Nikos E. Mastorakis, and Kumkum Garg, "Mobile agent location management in global networks," International Journal of Information and Communication Technology ,1(1): 26-37, 2007. https://doi.org/10.1504/IJICT.2007.013275