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基于模糊语言变量的动态目标无线网络选择技术(英文) 被引量:7

Dynamic Target Wireless Network Selection Technique Using Fuzzy Linguistic Variables
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摘要 Even though various wireless Network Access Technologies(NATs)with different specifications and applications have been developed in the recent years,no single wireless technology alone can satisfy the anytime,anywhere,and any service wireless-access needs of mobile users.A real seamless wireless mobile environment is only realized by considering vertical and horizontal handoffs together.One of the major design issues in heterogeneous wireless networks is the support of Vertical Handoff(VHO).VHO occurs when a multi-interface enabled mobile terminal changes its Point of Attachment(PoA)from one type of wireless access technology to another,while maintaining an active session.In this paper we present a novel multi-criteria VHO algorithm,which chooses the target NAT based on several factors such as user preferences,system parameters,and traffic-types with varying Quality of Service(QoS)requirements.Two modules i.e.,VHO Necessity Estimation(VHONE)module and target NAT selection module,are designed.Both modules utilize several"weighted"users’and system’s parameters.To improve the robustness of the proposed algorithm,the weighting system is designed based on the concept of fuzzy linguistic variables. Even though various wireless Net- work Access Technologies (NATs) with dif- ferent specifications and applications have been developed in the recent years, no single wireless technology alone can satisfy the any- time, anywhere, and any service wire- less-access needs of mobile users. A real seamless wireless mobile environment is only realized by considering vertical and horizontal handoffs together. One of the major design issues in heterogeneous wireless networks is the support of Vertical Handoff (VHO). VHO occurs when a multi-interface enabled mobile terminal changes its Point of Attachment (PoA) from one type of wireless access technology to another, while maintaining an active session. In this paper we present a novel multi-criteria VHO algorithm, which chooses the target NAT based on several factors such as user preferences, system parameters, and traf- tic-types with varying Quality of Service (QoS) requirements. Two modules i.e., VHO Neces- sity Estimation (VHONE) module and target NAT selection module, are designed. Both modules utilize several "weighted" users' and system's parameters. To improve the robust- ness of the proposed algorithm, the weighting system is designed based on the concept of fuzzy linguistic variables.
出处 《China Communications》 SCIE CSCD 2013年第1期1-16,共16页 中国通信(英文版)
关键词 无线网络技术 模糊语言变量 目标选择 无线网络接入技术 移动用户 设计问题 异构无线网络 无线接入技术 network access selection VHO heterogeneous networks WLAN WMAN WWAN Techniques for Order Preference bySimilarity to Ideal Solution
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参考文献20

  • 1QUANG B V, PRASAD R V, NIEMEGEERS I. A Survey on Handoffs - Lessons for 60 GHz Based Wireless Systems[J] IEEE Communications Surveys 81 Tutorials, 2012,14(1) 64-86.
  • 2ALKHAWLANI M, AYESH A. Access Network Selection Based on Fuzzy Logic and Genetic Algorithms!.!]. Advances in Artificial Intelligence, 2008, 8(1): 1-12.
  • 3HORRICH S, BEN JAMAA S, GODLEWSKI P. Neural Networks for Adaptive Vertical Handover Decision[C]// Proceedings of the 5th International Symposium on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks and Workshops: April 16-20, 2007, Limassol, Cyprus, 2007:1-7.
  • 4DHAR S, RAY A, BERA R. Design and Simulation of Vertical Handover Algorithm for Vehicular Communication^]. International Journal of Engineering Science and Technology,2010, 2(10): 5509-5525.
  • 5DHAR S, RAY A, BERA R. A Context Aware Vertical Handoff Algorithm for Vehicular Com-munication[J]. International Journal of Electronics, Computer and Communications Technologies, 2011, 2(1): 24-34.
  • 6SGORA A, VERGADOS D D, CHATZIMISIOS P. An Access Network Selection Algorithm for Heterogeneous Wireless Environments[C]// Proceedings of the 2010 IEEE Symposium on in Computers and Communications (ISCC): June 22-25, 2010, Riccione, Italy, 2010: 890-892.
  • 7ZHANG Wenhui. Handover Decision Using Fuzzy MADM in Heterogeneous Net-works[C]// Proceedings of the 2004 IEEE Wireless Communications and Networking Conference: March 21-25, 2004, Atlanta, GA, 2004: 653-658.
  • 8CHAMODRAKAS I, MARTAKOS D. A Utility-Based Fuzzy TOPSIS Method for Energy Efficient Network Selection in Heterogeneous Wireless Networks[J]. Applied Soft Computing, 2011,11(4): 3734-3743.
  • 9GHAREHGOZLIA H, TAVAKKOLI-MOGHADDAM R, RABBANI M, et al. Acceptance/Rejection of Incoming Orders by a Fuzzy Analytical Hierarchy Process in Make-to-Order Environ-ments[C]// Proceedings of the 8th WSEAS International Conference on Fuzzy Systems: June 18-20, Vancouver, Canada, 200: 202-207.
  • 10LIN H T, CHANG Wenling. Order Selection and Pricing Methods Using Flexible Quantity and Fuzzy Approach for Buyer Evaluation[J].European Journal of Operational Research, 2008, 187(2): 415-428.

同被引文献48

  • 1Argento A, Cesana M, Gatti N, et al. A Game Theoretical Study of Access Point Association in Wireless Mesh Network [J]. Computer Communications, 2012, 35(5): 541-553.
  • 2Haria M, Milano P, Matto C, et al. Network Selection and Resource Allocation Games for Wireless Access Networks [J]. Mobile Computing, 2012, 12(12): 2427-2440.
  • 3Kassar M, Kervella B, Pujolle G. An Overview of Vertical Handover Decision Strategies in Heterogeneous Wireless Networks [J]. Computer Communications, 2008, 31(10): 2607-2620.
  • 4Yan Xiaohuan, Sekercioglu Y, Narayanan S. A Survey of Vertical Handover Decision Algorithms in Fourth Generation Heterogeneous Wireless Networks [J]. Computer Networks, 2010, 54(11) : 1848-1863.
  • 5Chamodrakas I, Martakos D. A Utility-based Fuzzy TOPSIS Method for Energy Efficient Network Selection in Heterogeneous Wireless Networks [J]. Applied Soft Computing, 2012, 12(7) : 1929-1938.
  • 6Gustafsson E, Jonsson A. Always Best Connected [J]. IEEE Wireless Communications, 2003, 10(1): 49-55.
  • 7Chang (2 J, Tsai T L, Chen Y H. Utility and Game-theory Based Network Selection Scheme in Heterogeneous Wireless Networks [C]//IEEE Wireless Communications and Networking Conference. New York: IEEE, 2009: 4918016.
  • 8Sengupta S, Anand S, Chatterjee M, et al. Dynamic Pricing for Service Provisioning and Network Selection in Heterogeneous Networks [J]. Physical Communication, 2009, 2(1-2): 138-150.
  • 9Salient O, Perez-Romero J, Agusti R, et al. Resource Auctioning Mechanisms in Heterogeneous Wireless Access Networks [C]//IEEE Vehicular Technology Conference. Piscataway: IEEE, 2006: 52-56.
  • 10Zhang Wenhui. Bearer Service Allocation and Pricing in Heterogeneous Wireless Networks [C]//IEEE International Conference on Communications. Piscataway: IEEE, 2005: 1367-1371.

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