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面向终端个性化服务的模糊垂直切换算法

马彬 张文静 谢显中

马彬, 张文静, 谢显中. 面向终端个性化服务的模糊垂直切换算法[J]. 电子与信息学报, 2017, 39(6): 1284-1290. doi: 10.11999/JEIT160839
引用本文: 马彬, 张文静, 谢显中. 面向终端个性化服务的模糊垂直切换算法[J]. 电子与信息学报, 2017, 39(6): 1284-1290. doi: 10.11999/JEIT160839
MA Bin, ZHANG Wenjing, XIE Xianzhong. Individualization Service Oriented Fuzzy Vertical Handover Algorithm[J]. Journal of Electronics & Information Technology, 2017, 39(6): 1284-1290. doi: 10.11999/JEIT160839
Citation: MA Bin, ZHANG Wenjing, XIE Xianzhong. Individualization Service Oriented Fuzzy Vertical Handover Algorithm[J]. Journal of Electronics & Information Technology, 2017, 39(6): 1284-1290. doi: 10.11999/JEIT160839

面向终端个性化服务的模糊垂直切换算法

doi: 10.11999/JEIT160839
基金项目: 

国家自然科学基金(61271259, 61301123, 61471076),重庆市基础与前沿研究计划(cstc2015jcyjA40047),重庆邮电大学博士启动基金(A2014-10, A2015-16)

Individualization Service Oriented Fuzzy Vertical Handover Algorithm

Funds: 

The National Natural Science Foundation of China (61271259, 61301123, 61471076), The Foundation and Advanced Research Program of Chongqing (cstc2015jcyjA40047), The Doctoral Start-up Fund of Chongqing University of Posts and Telecommunications (A2014-10, A2015-16)

  • 摘要: 在异构无线网络中,针对终端不同类型的应用在服务质量(QoS)需求上的差异,该文提出一种面向终端个性化服务的模糊垂直切换算法。该算法从以下两个方面提高切换性能:首先在网络发现阶段,通过预测候选网络在切换时刻的负载状态,对候选网络进行筛选;然后在切换判决阶段,根据每类应用对QoS参数的不同需求范围设计不同的隶属度函数。仿真结果表明,该算法能有效降低切换阻塞率,提高系统吞吐量,并能根据终端的应用类型合理地选择切换网络,满足了终端的个性化服务需求。
  • FERNANDES S and KARMOUCH A. Management architectures in wireless networks: A comprehensive survey and future directions[J]. IEEE Communications Surveys Tutorials, 2012, 14(1): 45-63. doi: 10.1109/SURV.2011. 082010.00099.
    AHMED A, BOULAHIA L M, and GAITI D. Enabling vertical handover decisions in heterogeneous wireless networks: A state-of-the-art and a classification[J]. IEEE Communications Surveys Tutorials, 2013, 16(2): 776-811. doi: 10.1109/SURV.2013.082713.00141.
    LEE H, KIM D, CHUNG B, et al. Adaptive hysteresis using mobility correlation for fast handover[J]. IEEE Communications Letters, 2008, 12(2): 152-154. doi: 10.1109/ LCOMM.2008.071316.
    SINGH N P and SINGH B. Vertical handoff decision in 4G wireless networks using multi attribute decision making approach[J]. Wireless Networks, 2013, 20(5): 1203-1211. doi: 10.1007/s11276-013-0670-1.
    SHEN W and ZENG Q A. Cost-function-based network selection strategy in integrated wireless and mobile networks[J]. IEEE Transactions on Vehicular Technology, 2008, 57(6): 3778-3788. doi: 10.1109/TVT.2008.917257.
    马彬, 谢显中, 廖晓峰. 车辆异构网络中预测垂直切换算法[J]. 电子与信息学报, 2015, 37(4): 874-880. doi: 10.11999/ JEIT140845.
    MA B, XIE X Z, and LIAO X F. Prediction vertical handoff algorithm in vehicle heterogeneous network[J]. Journal of Electronics Information Technology, 2015, 37(4): 874-880. doi: 10.11999/JEIT140845.
    潘甦, 梁宇, 刘胜美. 一种基于移动趋势量化的多属性垂直切换判决算法[J]. 电子与信息学报, 2016, 38(2): 269-275. doi: 10.11999/JEIT150443.
    PAN S, LIANG Y, and LIU S M. A multi-attribute vertical handoff decision algorithm based on motion trend quantification[J]. Journal of Electronics Information Technology, 2016, 38(2): 269-275. doi: 10.11999/JEIT150443.
    LI L, MA L, XU Y, et al. Motion adaptive vertical handoff in cellular/WLAN heterogeneous wireless network[J]. The Scientific World Journal, 2014, 14(3): 1-7. doi: 10.1155/ 2014/341038.
    ALOTAIBI N M and ALWAKEEL S S. A neural network based handover management strategy for heterogeneous networks[C]. 2015 IEEE 14th International Conference on Machine Learning and Applications, Miami, FL, USA, 2015: 1210-1214. doi: 10.1109/ICMLA.2015.65.
    NARAYANAN V A, RAJESWARI A, and SURESHKUMAR V. Service-adaptive fuzzy multi criteria based intelligent vertical handover decision algorithm for heterogeneous wireless networks[C]. International Conference on Artificial Intelligence and Evolutionary Algorithms in Engineering Systems, Coimbatore, India, 2015: 297-304. doi: 10.1007/ 978-81-322-2126-5_33.
    KUSTIAWAN I and CHI K. Handoff decision using a kalman filter and fuzzy logic in heterogeneous wireless networks[J]. IEEE Communications Letters, 2015, 19(12): 2258-2261. doi: 10.1109/LCOMM.2015.2495212.
    KALEEM F, MEHBODNIYA A, ISLAM A, et al. Dynamic target wireless network selection technique using fuzzy linguistic variables[J]. China Communications, 2013, 10(1): 1-16. doi: 10.1109/CC.2013.6457526.
    KANTUBUKTA V, MAHESHWARI S, MAHAPATRA S, et al. 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[J]. The Institution of Engineering and Technology Networks, 2013, 2(3): 103-114. doi: 10.1049/iet-net.2012. 0183.
    CHAMODRAKAS I and 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. doi: 10.1016/j.asoc.2012. 04.016.
    杨剑波. 多模智能终端在异构无线网络中的垂直切换技术研究[D]. [博士论文], 解放军信息工程大学, 2013: 19-38.
    YANG J B. Research on vertical handover for multi-mode intelligent terminal in heterogeneous wireless networks[D]. [Ph.D. dissertation], PLA Information Engineering University, 2013: 19-38.
    TANIUCHI K, CORPORATION T, OHBA Y, et al. IEEE 802.21: Media independent handover: Features, applicability, and realization[J]. IEEE Communications Magazine, 2009, 47(1): 112-120. doi: 10.1109/MCOM.2009.4752687.
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出版历程
  • 收稿日期:  2016-08-15
  • 修回日期:  2017-02-08
  • 刊出日期:  2017-06-19

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