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A Network Selection Scheme Based on TOPSIS in Heterogeneous Network Environment 被引量:3

A Network Selection Scheme Based on TOPSIS in Heterogeneous Network Environment
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摘要 This paper deals with network selection problem for users in heterogeneous network environment. The main context is to improve the TOPSIS( Technique for Order Preference by Similarity to Ideal Solution) network scheme by combining the network properties and the users' requirement accurately and decrease ping-pong effect. The method of entropy and FAHP( Fuzzy Analytic Hierarchy Process) are used to calculate weight value and the sojourn time calculation is used to avoid ping-pang effect. The simulation results show that the improved scheme enhances the more accuracy of network selection than the existing methods and reduces the number of ping-pang effect. This paper deals with network selection problem for users in heterogeneous network environment. The main context is to improve the TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) network scheme by combining the network properties and the users' requirement accurately and decrease ping-pong effect. The method of entropy and FAHP ( Fuzzy Analytic Hierarchy Process) are used to calculate weight value and the sojourn time calculation is used to avoid ping-pang effect. The simulation results show that the improved scheme enhances the more accuracy of network selection than the existing methods and reduces the number of ping-pang effect.
作者 Long Xu Yi Li
出处 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2014年第1期43-48,共6页 哈尔滨工业大学学报(英文版)
基金 Sponsored by the National Natural Science Foundation of China for Young Scholar(Grant No.61302080) the National Natural Science Foundation of China(Grant No.61271182) the National High Technology Research and Development Program of China(863 Program)(Grant No.2012AA01A508)
关键词 network selection sojourn time FAHP ENTROPY TOPSIS network selection sojourn time FAHP entropy TOPSIS
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参考文献15

  • 1Wang L S, Kuo G S. Mathematical modeling for network selection in heterogeneous wireless networks - a tutorial. IEEE Communications Surveys & Tutorials, 2013, 15( 1) : 271-292.
  • 2Li D F. TOPSIS-based nonlinear-programming methodology for multiattribute decision making with interval-valued intuitionistic fuzzy sets. IEEE Transactions on Fuzzy Systems, 2010, 18(2) :299-311.
  • 3De Miranda Rios Vinicius , De Lira Gondim Paulo Roberto, De Castro Monteiro Claudio. Use of fuzzy logic for networks selection in heterogeneous wireless environment. Proceedings of the 14th International Conference on Advanced Communication Technology: Smart Society Innovation through Mobile Internet (ICACT' 2012). PyeongChang, Korea: Institute of Electrical and Electronics Engineers Inc. ,2012. 798-803.
  • 4Thumthawatworn T, Pervez A. Multi-level rule-based handover framework for heterogeneous wireless networks. Proceedings of the 6th Conference on Wireless Advanced (WiAD' 2010). London, British.201O. 1-6.
  • 5Lahby M, Cherkaoui L, Adib A. Network selection algorithm based on diff-AHP and TOPSIS in heterogeneous wireless networks. Proceedings of the 2012 International Conference on Multimedia Computing and Systmes ( ICMCS' 2012). Washington DC: IEEE Computer Society ,2012.485-490.
  • 6Mehbodniya A, Kaleem F, Yen K K. A fuzzy MADM ranking approach for vertical mobility in next generation hybrid networks. Proceedings of the 2012 4th International Congress on Ultra Modem Telecommunications and Control Systems and Workshops(ICUMT'2012). Washington DC: IEEE Computer Society, 2012.262-267.
  • 7Chan P M L, Hu Y F, Sheriff R E. Implementation of fuzzy multiple objective decision making algorithm in a heterogeneous mobile environment. Proceedings of the 2002 IEEE Wireless Communications and Networking Conference (WCNC' 2002). Piscataway: IEEE, 2002. 332- 336.
  • 8Ning G Q, Zhu G X, Li Q X. Dynamic load balancing based on sojourn time in multitier cellular systems. Proceedings of the 2006 63m Vehicular Technology Conference ( VTC ' 2006). Melbourne, Australia: Institute of Electrical and Electronics Engineers Inc., 2006. 111 - 116.
  • 9Wang L S, Binet D. TRUST: a trigger-based automatic subjective weighting method for network selection. Proceedings of the 2009 5th Advanced International Conference on Telecommunications (AICT' 09) . Washington DC: IEEE Computer Society, 2009. 362 - 368.
  • 10Wang Huiyong, Tang Shijie. Analysis and modification on exisung objective weighting methods in MADM. Proceedings of the 3rd International Conference on Genetic and Evolutionary Computing (WGEC' 2009). Washington DC: IEEE Computer Society, 2009. 162-165.

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  • 3Do TMT, Gatica-Perez D.By their apps you shall understand them:Mining large-scale patterns of mobile phone usage. In:Proc.Of the 9th Int'l Conf.on Mobile and Ubiquitous Mul-timedia[C]. New York:ACM Press, 2010.1-27.
  • 4Chiu PH, Kao GYM, Lo CC.Personalized blog content recom-mender system for mobile phone users[J]. Int'l Journal of Hu-man-Computer Studies, 2010, 68(8):496-507.
  • 5Jain Ramesh.Quality of experience[J]. IEEE Multimedia, 2004,(1-3):95-96.
  • 6Robert R.How to quantify the user experience[J/OL]. http://www.sitepoint.com/article/quantify-user-experience/.2009.
  • 7Viedmaherrera Enrique, Chiclana Francisco, Herrera Francisco et al.Group decision-making model with incomplete fuzzy preference relations based on additive consistency[J]. IEEE Transactions on Systems, Man, and Cybernetics-Part B:Cy-bernetics, 2007:176-189.
  • 8M Shamim Hossain, Abdulmotaleb El Saddik.QoS requirement in the multimedia transcoding service selection process[J]. IEEE Transactions on Instrumentation and Measurement, 2010, 59(6):1498-1506.
  • 9Meddeb Aref.Internet QoS:pieces of the puzzle[J]. IEEE Communications Magazine, 2010,(1):86-94.
  • 10Wang Yanxia Qian Longjun Guo Zhi Ma Lifeng.Weapon target assignment problem satisfying expected damage probabilities based on ant colony algorithm[J].Journal of Systems Engineering and Electronics,2008,19(5):939-944. 被引量:26

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