Access point selection mechanism based on cross-layer awareness for cognitive networks

Hui-qiang WANG; Xiao-ming CHEN; Hong-wu LV; Guang-sheng FENG; Qiang ZHU

doi:10.11959/j.issn.1000-436x.2015214

您当前的位置：

首页 >

文章列表页 >

Access point selection mechanism based on cross-layer awareness for cognitive networks

academic paper | 更新时间：2024-06-05

- Access point selection mechanism based on cross-layer awareness for cognitive networks
- Journal on Communications Vol. 36, Issue 10, Pages: 188-199(2015)
- 作者机构：
  
  1. 哈尔滨工程大学计算机科学与技术学院，黑龙江哈尔滨150001
  2. 哈尔滨理工大学管理学院，黑龙江哈尔滨 150080
- 作者简介：
- 基金信息：
  
  The National Natural Science Foundation of China(61370212);The National Natural Science Foundation of China(61402127);The National Natural Science Foundation of China(61502118);The Research Foundation for the Doctoral Program of Higher Education of China(20122304130002);The Natural Science Foundation of Heilongjiang Province(ZD201102);The Fundamental Research Funds for the Central Universities(HEUCF100601);The Fundamental Research Funds for the Central Universities(HEUCFZ1213);The Post-doctoral Foundation of Heilongjiang Province(LBH-210204);The Natural Science Foundation of Heilongjiang Province(F2015029)
- DOI：10.11959/j.issn.1000-436x.2015214
  CLC： TP393
- Online First：2015-10，
  
  Published：25 October 2015
- 稿件说明：
移动端阅览
Hui-qiang WANG, Xiao-ming CHEN, Hong-wu LV, et al. Access point selection mechanism based on cross-layer awareness for cognitive networks[J]. Journal on Communications, 2015, 36(10): 188-199.
DOI：

Hui-qiang WANG, Xiao-ming CHEN, Hong-wu LV, et al. Access point selection mechanism based on cross-layer awareness for cognitive networks[J]. Journal on Communications, 2015, 36(10): 188-199. DOI： 10.11959/j.issn.1000-436x.2015214.

摘要

选择最优接入网络是确保网络资源有效分配和提高网络整体性能的有效手段。提出一种基于跨层感知的接入选择方法CN_CLA，构建跨层感知框架模型以获取影响接入网性能的主要评估参数，采用模糊理论对可接入网络的性能进行综合评测，应用量子遗传算法对评判权值进行优化，最终实现接入网络的智能选择。实验结果表明，CN_CLA能够在无用户干涉情况下合理地选择接入网络，并在吞吐量、时延、会话完成率、分组丢失率等方面优于链路容量法、H_RSSI_S及AS_FTM接入选择算法。

Abstract

Accessing to the optimal network was an effective way of ensuring the efficiency of network resources utilization and improving network performance.An access point selection mechanism based on cross-layer awareness for cognitive networks(CN_CLA)was proposed.Firstly

a cross-layer cognitive framework was constructed for obtaining the primary evaluation parameters that influence the performance of network access.Secondly

the fuzzy theory was applied for evaluating the access network performance comprehensively

and the weights in each layer were optimized using the quantum genetic algorithm

and then the access point was selected intelligently.Simulation results show that the proposed method chooses reasonable access networks without intervention of users.Furthermore

it is superior to the traditional methods

including the link capacity scheme

H_RSSI_S and AS_FTM

in terms of throughput

delay

session completion rate

packet loss and other performance indicators.

关键词

Keywords

references

WANG L , KUO G S . Mathematical modeling for network selection in heterogeneous wireless networks-a tutorial [J ] . IEEE Communications Surveys and Tutorials , 2013 , 15 ( 1 ): 271 - 292 .

FORTUNA C , MOHORCIC M . Trends in the development of communication networks:cognitive networks [J ] . Computer Networks , 2009 , 53 ( 9 ): 1354 - 1376 .

THOMAS R W , FRIEND D H , DASILVA L A , et al . Cognitive networks:adaptation and learning to achieve end-to-end performance objectives [J ] . IEEE Communications Magazine , 2006 , 44 ( 12 ): 51 - 57 .

SRIVASTAVA V , MOTANI M . Cross-layer design:a survey and the road ahead [J ] . IEEE Communications Magazine , 2005 , 43 ( 12 ): 112 - 119 .

HALDAR K L , GHOSH C , AGRAWAL D P . Dynamic spectrum access and network selection in heterogeneous cognitive wireless networks [J ] . Pervasive and Mobile Computing , 2013 , 9 ( 4 ): 484 - 497 .

石文孝 , 范绍帅 , 王柟等 . 基于模糊神经网络的异构无线网络接入选择算法 [J ] . 通信学报 , 2010 , 31 ( 9 ): 151 - 156 .

SHI W X , FAN S S , WANG N , et al . Fuzzy neural network based access selection algorithm in heterogeneous wireless networks [J ] . Journal on Communications , 2010 , 31 ( 9 ): 151 - 156 .

STEVENS-NAVARRO E , LIN Y , WONG V W S . An MDP-based vertical handoff decision algorithm for heterogeneous wireless networks [J ] . IEEE Transactions on Vehicular Technology , 2008 , 57 ( 2 ): 1243 - 1254 .

陈前斌 , 周伟光 , 柴蓉 , 等 . 基于博弈论的异构融合网络接入选择方法研究 [J ] . 计算机学报 , 2010 , 33 ( 9 ): 1643 - 1652 .

CHEN Q B , ZHOU W G , CHAI R , et al . Game theory based network access selection study in heterogeneous integrated networks [J ] . Chinese Journal of Computers , 2010 , 33 ( 9 ): 1643 - 1652 .

MESSIER G G , HARTWELL J A , DAVIES R J . A sensor network cross-layer power control algorithm that incorporates multiple-access interference [J ] . IEEE Transactions on Wireless Communications , 2008 , 7 ( 8 ): 2877 - 2883 .

JUNAID A , ZHANG X , et al . A decentralized MAC protocol for opportunistic spectrum access in cognitive wireless networks original research article [J ] . Computer Communications , 2013 , 36 ( 13 ): 1399 - 1410 .

The Network Simulator-ns-2 [EB/OL ] . http://www.isi.edu/nsnam/ns/ http://www.isi.edu/nsnam/ns/ , 2013 .

BALDO N , MAGUOLO F , MIOZZO M , et al . ns2-MIRACLE:a modular framework for multi-technology and cross-layer support in network simulator [A ] . Proceedings of the 2nd International Conference on Performance Evaluation Methodologies and Tools [C ] . Brussels,Belgium , 2007 .16.

CHAMODRAKAS 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 .

Views

1521

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

QGA-based network service extension algorithm in NFV

Optimized coverage algorithm of wireless video sensor network based on quantum genetic algorithm

Network-assisted optimal rate control methods in cognitive networks

Delay-optimal spectrum decision method for cognitive network

Mobile sink-based data collection scheme for wireless sensor networks

Related Author

Hongbo TANG

Wei YOU

Yu ZHAO

Yi BAI

Hang QIU

Chao ZHAO

Feng-mao LV

Qian-qi LE

Related Institution

Institute of Information Technology, Information Engineering University

School of Computer Science and Engineering,University of Electronic Science and Technology of China

School of Computer and Information Engineering,Yibin University

School of Computer Science and Engineering,University of Electronic Science and Technology of China,Chengdu 611731,China;2.School of Computer and Information Engineering,Yibin University

State Key Lab of Integrated Service Network,Xidian University

AI问答

⁰