[1]杨存[],赵季红[][],赵庶源[],等. 基于多终端协同的终端与网络协同选择算法研究[J].计算机技术与发展,2015,25(01):52-56.
　YANG Cun[],ZHAO Ji-hong[][],ZHAO Shu-yuan[],et al. Research on Terminal-network Cooperative Selection Algorithm Based on Multi-terminal Cooperation[J].,2015,25(01):52-56.
点击复制

 基于多终端协同的终端与网络协同选择算法研究()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年01期
页码:
52-56
栏目:
智能、算法、系统工程
出版日期:
2015-01-10

文章信息/Info

Title:
 Research on Terminal-network Cooperative Selection Algorithm Based on Multi-terminal Cooperation
文章编号:
1673-629X（2015)01-0052-05
作者:
 杨存[1]; 赵季红[1][2] ; 赵庶源[2]; 任塨晔[2]
 1.南京邮电大学 通信与信息工程学院；2. 西安交通大学 电子与信息工程学院
Author(s):
 YANG Cun[1]; ZHAO Ji-hong[1][2] ; ZHAO Shu-yuan[2] ; REN Gong-ye[; 2]
关键词:
 ; 多终端协同; 虚拟终端单元; 协同选择; 能量消耗
Keywords:
 ; multi-terminal cooperation;  virtual terminal unit; cooperative selection; energy consumption
分类号:
TP393
文献标志码:
A
摘要:
 异构无线网络环境下采用多终端协同机制可以在单终端或网络能力有限的情况下提升用户的业务体验，即时性地选择合适的终端和相应的网络成为其中一个关键的问题。为此提出了一种多终端协同机制，将终端与其接入网络看作一个整体称之为虚拟终端单元，采用终端与网络协同选择算法选择一个或多个虚拟终端单元形成协同终端集提供业务。仿真结果表明，多终端协同机制可以在保证业务数据速率的前提下有效地减少能量的消耗。
Abstract:
 User experience can be greatly improved by using multi-terminal cooperation mechanism in wireless heterogeneous environ-ment,when single terminal or network capacity is limited. It has been a key issue to select suitable terminals and corresponding access net-works instantly. Therefore,propose a multi-terminal cooperation mechanism,which integrates the terminal and its access network as a vir-tual terminal unit. With terminal-network cooperative selection algorithm,one or more virtual terminal units would be selected to form a cooperative terminal set to provide service. Simulation results show that multi-terminal cooperation mechanism can help save energy con-sumption of terminals on the premise of ensuring the data rates.

相似文献/References:

[1]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
　ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(01):1.
[2]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
　LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(01):5.
[3]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
　HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(01):13.
[4]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
　HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(01):21.
[5]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
　LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(01):25.
[6]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
　WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(01):29.
[7]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
　LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(01):34.
[8]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
　SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(01):38.
[9]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
　YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(01):43.
[10]余松平[][],蔡志平[],吴建进[],等. GSM-R信令监测选择录音系统设计与实现[J].计算机技术与发展,2014,24(07):47.
　YU Song-ping[][],CAI Zhi-ping[] WU Jian-jin[],GU Feng-zhi[]. Design and Implementation of an Optional Voice Recording System Based on GSM-R Signaling Monitoring[J].,2014,24(01):47.

更新日期/Last Update: 2015-04-17