面向終端個(gè)性化服務(wù)的模糊垂直切換算法

馬彬; 張文靜; 謝顯中

doi:10.11999/JEIT160839

面向終端個(gè)性化服務(wù)的模糊垂直切換算法

doi: 10.11999/JEIT160839

基金項(xiàng)目:

國(guó)家自然科學(xué)基金(61271259, 61301123, 61471076)，重慶市基礎(chǔ)與前沿研究計(jì)劃(cstc2015jcyjA40047)，重慶郵電大學(xué)博士啟動(dòng)基金(A2014-10, A2015-16)

計(jì)量
- 文章訪問數(shù): 1264
- HTML全文瀏覽量: 151
- PDF下載量: 450
- 被引次數(shù): 0
出版歷程
- 收稿日期: 2016-08-15
- 修回日期: 2017-02-08
- 刊出日期: 2017-06-19

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

摘要: 在異構(gòu)無線網(wǎng)絡(luò)中，針對(duì)終端不同類型的應(yīng)用在服務(wù)質(zhì)量(QoS)需求上的差異，該文提出一種面向終端個(gè)性化服務(wù)的模糊垂直切換算法。該算法從以下兩個(gè)方面提高切換性能：首先在網(wǎng)絡(luò)發(fā)現(xiàn)階段，通過預(yù)測(cè)候選網(wǎng)絡(luò)在切換時(shí)刻的負(fù)載狀態(tài)，對(duì)候選網(wǎng)絡(luò)進(jìn)行篩選；然后在切換判決階段，根據(jù)每類應(yīng)用對(duì)QoS參數(shù)的不同需求范圍設(shè)計(jì)不同的隸屬度函數(shù)。仿真結(jié)果表明，該算法能有效降低切換阻塞率，提高系統(tǒng)吞吐量，并能根據(jù)終端的應(yīng)用類型合理地選擇切換網(wǎng)絡(luò)，滿足了終端的個(gè)性化服務(wù)需求。
- 異構(gòu)無線網(wǎng)絡(luò) /
- 垂直切換 /
- 網(wǎng)絡(luò)負(fù)載預(yù)測(cè) /
- 隸屬度函數(shù)
Abstract: 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.
- Heterogeneous wireless networks /
- Vertical handover /
- Network loads prediction /
- Membership function

HTML全文

參考文獻(xiàn)(19)

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.

馬彬, 謝顯中, 廖曉峰. 車輛異構(gòu)網(wǎng)絡(luò)中預(yù)測(cè)垂直切換算法[J]. 電子與信息學(xué)報(bào), 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, 劉勝美. 一種基于移動(dòng)趨勢(shì)量化的多屬性垂直切換判決算法[J]. 電子與信息學(xué)報(bào), 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.

楊劍波. 多模智能終端在異構(gòu)無線網(wǎng)絡(luò)中的垂直切換技術(shù)研究[D]. [博士論文], 解放軍信息工程大學(xué), 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.

相關(guān)文章

施引文獻(xiàn)

資源附件(0)

訪問統(tǒng)計(jì)