首页> 外文期刊>International journal of digital multimedia broadcasting >Loss-Aware CMT-Based Multipathing Scheme for Efficient Data Delivery to Heterogeneous Wireless Networks
【24h】

Loss-Aware CMT-Based Multipathing Scheme for Efficient Data Delivery to Heterogeneous Wireless Networks

机译:基于损失的CMT的多路径方案,用于高效数据传送到异构无线网络

获取原文
获取原文并翻译 | 示例
       

摘要

With the rapid development of wireless networks, multiple network interfaces are gradually being designed into more and more mobile devices. When it comes to data delivery, Stream Control Transmission Protocol (SCTP)-based Concurrent Multipath Transfer (CMT) has proven to be quite useful solution for multiple home networks, and it could become the key transport protocol for the next generation of wireless communications. The CMT delay caused by data rearrangement has been noticed by researchers, but they have seldom considered the frequent occurrence of packet loss that occurs in the high-loss networks. In this paper, we proposed an original loss-aware solution for multipath concurrent transmission (CMT-LA) that achieves the following goals: (1) identifying packet loss on all paths, (2) distributing packets adaptively across multiple available paths according to their packet loss and loss variation, and (3) maintaining the features of bandwidth aggregation and parallel transmission of CMT while improving the throughput performance. The results of our simulations showed that the proposed CMT-LA reduces reordering delay and unnecessary fast retransmissions, thereby demonstrating that CMT-LA is a more efficient data delivery scheme than classic CMT.
机译:随着无线网络的快速发展,多个网络接口逐渐被设计成越来越多的移动设备。当涉及数据传送时,基于流控制传输协议(SCTP)的并发多路径传输(CMT)已经证明对多个家庭网络具有相当实用的解决方案,并且它可能成为下一代无线通信的关键传输协议。由研究人员注意到数据重新排列引起的CMT延迟,但它们很少被认为是高损耗网络中发生的频繁发生的丢包。在本文中,我们提出了一个用于多径并发传输(CMT-LA)的原始损失感知解决方案,实现以下目标:(1)根据其识别所有路径上的丢包(2)根据其可用路径自适应地分发数据包数据包丢失和损耗变化,(3)维护CMT的带宽聚集和并联传输的特征,同时提高吞吐量性能。我们的模拟结果表明,所提出的CMT-LA降低了重新排序延迟和不必要的快速重传,从而表明CMT-LA是比经典CMT更有效的数据传送方案。

著录项

  • 来源
    《International journal of digital multimedia broadcasting》 |2019年第1期|9474057.1-9474057.8|共8页
  • 作者单位

    Jiangxi Normal Univ Sch Software Nanchang 330022 Jiangxi Peoples R China;

    Jiangxi Modern Polytech Coll Nanchang 330022 Jiangxi Peoples R China;

    Jiangxi Modern Polytech Coll Nanchang 330022 Jiangxi Peoples R China;

    Tianjin Univ Div Intelligence & Comp Tianjin 300354 Peoples R China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-18 22:02:11

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号