Individualization Service Oriented Fuzzy Vertical Handover Algorithm
MA Bin ZHANG Wenjing XIE Xianzhong
(Institute of Broadband Access Networks, Chongqing University of Posts & Telecommunications,Chongqing 400065, China)
(Chongqing Key Laboratory of Computer Network and Communication Technology,Chongqing University of Posts & Telecommunications, Chongqing 400065, China)
Considering the differences in Quality of Service (QoS) requirements of different application classes in heterogeneous wireless networks, this paper proposes an individualization service oriented fuzzy vertical handover algorithm. The handover performance is improved from the following two aspects. Firstly, in the network discovery phase, the candidate networks are sifted by predicting the network loads in handover execution. Secondly, in the handover decision phase, different membership functions are designed according to the different QoS requirements of each application class. The simulation results show that the proposed algorithm can reduce the blocking probability, improve the system throughput, select the target network reasonably, and meet the QoS requirements of terminal individualization service.
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.
[2]
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.
[3]
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.
[4]
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.
[5]
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.
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.
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.
[8]
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.
[9]
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.
[10]
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.
[11]
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.
[12]
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.
[13]
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.
[14]
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.
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.
[16]
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.
