移动自组网络中基于无线TCP跨层服务质量保障机制

doi:10.3724/SP.J.1087.2013.00083

计算机应用 ›› 2013, Vol. 33 ›› Issue (01): 83-87.DOI: 10.3724/SP.J.1087.2013.00083

移动自组网络中基于无线TCP跨层服务质量保障机制

李明¹,杨雷¹,吴燕玲²

1. 东莞理工学院电子工程学院，广东东莞 523808
2. 东莞理工学院城市学院计算机与信息科学系，广东东莞 523106

收稿日期:2012-07-16 修回日期:2012-08-10 出版日期:2013-01-01 发布日期:2013-01-09
通讯作者: 李明
作者简介:李明(1971-)，男，江西南昌人，副教授，CCF会员，主要研究方向：无线通信网络、计算机网络；杨雷(1964-)，男，河南邓州人，教授，博士，主要研究方向：网络通信；吴燕玲(1971-)，女，江西南昌人，副教授，CCF会员，主要研究方向：计算机网络、无线通信网络。
基金资助:
广东省自然科学基金资助项目(10151170003000018);东莞市高等院校科研机构科技计划项目(2011108101004, 2011108102013, 2011108102030)

Quality assurance mechanism based on wireless TCP cross-layer service in mobile Ad Hoc network

LI Ming¹,YANG Lei¹,WU Yanling²

1. School of Electronic Engineering, Dongguan University of Technology, Dongguan Guangdong 523808, China
2. Department of Computer and Information Science, City College of Dongguan University of Technology, Dongguan Guangdong 523106, China

Received:2012-07-16 Revised:2012-08-10 Online:2013-01-01 Published:2013-01-09
Contact: LI Ming

摘要/Abstract

摘要： 无线自组网按需平面距离矢量路由(AODV)算法在路由发现过程中会产生大量的广播消息，消耗了大量网络资源，严重影响了网络的服务质量(QoS)。针对这个不足，提出了一种跨层服务质量保障机制。使用了以信噪比(SNR)确定下一跳节点为准则的增强型无线自组网按需平面距离矢量路由(E-AODV)算法，并且应用了无线传输控制协议(WTCP)来提高数据传输可靠性。仿真结果表明，所提机制可以有效地将网络中的数据交付时延(DDL)减少近56%，同时将数据交付率(DDR)提高近24%。

关键词: 移动自组网络, 按需平面距离矢量路由算法, 服务质量, 信噪比, 无线传输控制协议

Abstract: As one of the most popular routing protocols proposed by Internet Engineering Task Force (IETF), Ad Hoc on Demand Distance Vector Routing (AODV) has been implanted for many applications in Mobile Ad Hoc Network (MANET). In AODV, enormous broadcasting messages are generated during route discovery procedure, which consumes lots of bandwidth and degrades significantly the Quality of Service (QoS) of networks. To solve this problem, a cross-layer mechanism with a routing protocol Enhanced AODV (E-AODV) was proposed. In E-AODV, the Signal to Noise Ratio (SNR) of received signals was considered as the key criterion to select the next hop. Furthermore, Wireless Transmission Control Protocol (WTCP) was implanted as one important way in E-AODV to obtain a better QoS. The simulation results show that the proposed mechanism can reduce the Data Delivery Latency (DDL) up to 56% and improve the Data Delivery Ratio (DDR) up to 24%.

Key words: Mobile Ad Hoc Network (MANET), Ad Hoc on Demand Distance Vector Routing (AODV), Quality of Service (QoS), Signal to Noise Ratio (SNR), Wireless Transmission Control Protocol (WTCP)

中图分类号:

李明杨雷吴燕玲. 移动自组网络中基于无线TCP跨层服务质量保障机制[J]. 计算机应用, 2013, 33(01): 83-87.

LI Ming YANG Lei WU Yanling. Quality assurance mechanism based on wireless TCP cross-layer service in mobile Ad Hoc network[J]. Journal of Computer Applications, 2013, 33(01): 83-87.

参考文献

［1］TIAN Y, XU K, ANSARI N. TCP in wireless environments: problems and solutions ［J］. IEEE Communications Magazine, 2005, 43(3): 27-32.

［2］XU K, TIAN Y, ANSARI N. TCP-Jersey for wireless IP communications ［J］. 〖HJ1.9mm〗IEEE Journal on Selected Areas in Communications, 2004, 22(4): 747-756.

［3］YAMANEGI K, HASEGAWA G, MURATA M. Achieving predictable throughput of TCP based on inline network measurement ［J］. IEICE Technical Report, 2006, 106(237): 7-12.

［4］SHIMONISHI H, HAMA T, MURASE M. TCP congestion control enhancements for streaming media ［C］// CCNC 2007: Proceedings of the 4th IEEE Consumer Communications and Networking Conference. Piscataway: IEEE Press, 2007: 303-307.

［5］HASHIMOTO M, HASEGAWA G, MURATA M. Trade-off evaluation between fairness and throughput for TCP congestion control mechanisms in a wireless LAN environment ［C］// 2010 International Symposium on Performance Evaluation of Computer and Telecommunication System. Ottawa: Society for Modeling and Simulation International, 2010: 22-29.

［6］LAI C D, LEUNG K C, LI V O K. Enhancing wireless TCP: a serialized-timer approach ［C］// Proceedings of the 2010 IEEE International Conference on Computer Communications. Piscataway: IEEE Press, 2010: 391-395.

［7］SHIN K, KIM J, CHOI S B. Loss recovery scheme for TCP using MAC MIB over wireless access networks ［J］. IEEE Communications Letters, 2011, 15(10): 1059-1061.

［8］MAHMOODI T, FRIDERIKOS V, HOLLAND O, et al. Cross-layer design to improve wireless TCP performance with link-layer adaptation ［C］// VTC-Fall 2007: IEEE 66th Vehicular Technology Conference. Piscataway: IEEE Press, 2007: 1504-1508.

［9］MENDES L D P, BRITO J M C. Some analysis of a cross-layer design for a wireless TCP network ［C］// ICWMC'09: Proceedings of the Fifth International Conference on Wireless and Mobile Communications. Piscataway: IEEE Press, 2009: 64-69.

［10］ANDO R, MURASE T, OGUCHI M. Characteristics of QoS-TCP on real mobile terminal in wireless LAN ［C］// 2011 IEEE International Workshop Technical Committee on Communications Quality and Reliability. Piscataway: IEEE Press, 2011: 1-6.

［11］CHUA K C, MALCOLM J A, ZHANG Y. Theoretical analysis of TCP throughput in Ad Hoc wireless networks ［C］// IEEE Global Telecommunications Conference 2005. Piscataway: IEEE Press, 2005: 2714-2719.

［12］GEETHA V, AITHAL S, CHANDRASEKARAN K. Effect of mobility over performance of the Ad Hoc networks ［C］// Proceedings of the 2006 International Symposium on Ad Hoc and Ubiquitous Computing. Piscataway: IEEE Press, 2006: 138-141.

［13］LIU C, WU J. Adaptive routing in dynamic Ad Hoc networks ［C］// 2008 IEEE Wireless Communications and Networking Conference. Piscataway: IEEE Press, 2008: 2603-2608.

［14］PERKINS C, BELDING-ROYER E, DAS S. Ad Hoc On-Demand Distance Vector (AODV) routing, RFC3561 ［S］. IETF, 2003.

［15］HAMAD S, NOUREDDINE H, RADHI N, et al. Efficient flooding based on node position for mobile Ad Hoc network ［C］// IIT 2011: 2011 International Conference on Innovations in Information Technology. Piscataway: IEEE Press, 2011: 162-166.

[1]	石雪松, 李宪华, 孙青, 宋韬. 基于人工蜂群与模糊C均值的自适应小波变换的噪声图像分割[J]. 计算机应用, 2021, 41(8): 2312-2317.
[2]	周烁, 仇润鹤, 唐旻俊. 基于禁忌搜索和Q-learning的CR-NOMA系统的功率分配算法[J]. 计算机应用, 2021, 41(7): 2026-2032.
[3]	冉家敏, 倪志伟, 彭鹏, 朱旭辉. 考虑空间众包工作者服务质量的任务分配策略及其萤火虫群优化算法求解[J]. 计算机应用, 2021, 41(3): 794-802.
[4]	雷鹰, 郑万波, 魏嵬, 夏云霓, 李晓波, 刘诚武, 谢洪. 基于概率性能感知演化博弈策略的“云+边”混合环境中任务卸载方法[J]. 《计算机应用》唯一官方网站, 2021, 41(11): 3302-3308.
[5]	徐金荣, 郭彩萍, 童恩栋. 面向服务遥感图像处理平台中时间感知的服务质量预测[J]. 计算机应用, 2020, 40(6): 1714-1721.
[6]	张皓然, 王学渊, 李小霞. 基于自适应阈值活动语音检测和最小均方误差对数谱幅度估计的低信噪比降噪算法[J]. 计算机应用, 2020, 40(6): 1763-1768.
[7]	郭曙杰, 李志华, 蔺凯青. 云环境下基于模糊隶属度的虚拟机放置算法[J]. 计算机应用, 2020, 40(5): 1374-1381.
[8]	罗际炜, 瞿涛, 邓徳祥. 嵌入式多通道无线视频传输的码率自适应算法[J]. 计算机应用, 2020, 40(4): 1119-1126.
[9]	孙天齐, 胡建鹏, 黄娟, 樊莹. 云环境下Web应用带宽资源预测与管理[J]. 计算机应用, 2020, 40(1): 181-187.
[10]	陈龙彪, 谌雨章, 王晓晨, 邹鹏, 胡学敏. 基于深度学习的水下图像超分辨率重建方法[J]. 计算机应用, 2019, 39(9): 2738-2743.
[11]	王妍, 马秀荣, 单云龙. 长期演进系统基于加权平均时延的下行资源调度[J]. 计算机应用, 2019, 39(5): 1429-1433.
[12]	李磊, 薛洋, 吕念玲, 冯敏. 基于李雅普诺夫优化的容器云队列在线任务和资源调度设计[J]. 计算机应用, 2019, 39(2): 494-500.
[13]	郭棉, 李绮琦. 面向延迟敏感型物联网应用的计算迁移策略[J]. 计算机应用, 2019, 39(12): 3590-3596.
[14]	吴沐阳, 刘峥, 王洋, 李云, 李涛. 基于指标相关性的网络运维质量评估模型[J]. 计算机应用, 2018, 38(9): 2535-2542.
[15]	张刚, 高俊鹏. 组合型幂指函数三稳态随机共振微弱信号检测[J]. 计算机应用, 2018, 38(9): 2747-2752.

移动自组网络中基于无线TCP跨层服务质量保障机制

Quality assurance mechanism based on wireless TCP cross-layer service in mobile Ad Hoc network

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 15

编辑推荐

Metrics