首页> 外文期刊>Vehicular Technology, IEEE Transactions on >Cross-Layer and Cooperative Opportunistic Network Coding in Wireless Ad Hoc Networks
【24h】

Cross-Layer and Cooperative Opportunistic Network Coding in Wireless Ad Hoc Networks

机译:无线自组织网络中的跨层合作机会网络编码

获取原文
获取原文并翻译 | 示例
           

摘要

In this paper, we present a cross-layer framework for optimizing the performance of opportunistic network coding in wireless multihop networks. The target scenario considers a wireless ad hoc network (WANET) with backlogged nodes and with multiple unicast packet flows. Initially, we focus on modeling the expected network-coded throughput individually for each wireless station as a function of parameters at the lower layers, like the maximum number of link-layer retransmissions and the transmission mode at the physical layer (PHY). Based on this analysis, we develop a network-coding algorithm that opportunistically and locally optimizes the expected information content of individual packet transmissions. To address the problem in a multihop setting, we focus on controlling the air time that is consumed by the resulting transmissions of coded packets. More specifically, we devise a distributed-cooperation algorithm that allows nodes to select the optimal PHY transmission mode by also considering the PHY selection of their neighbors. Nodes use only a partial view of the link contention relationships up to their interference range. Compared with existing works on opportunistic network coding and scheduling in ad hoc networks, our approach can yield significant throughput gains without employing complex link-scheduling algorithms.
机译:在本文中,我们提出了一个跨层框架,用于优化无线多跳网络中机会网络编码的性能。目标方案考虑一个无线自组织网络(WANET),该网络具有积压的节点和多个单播数据包流。最初,我们专注于对每个无线站的预期网络编码吞吐量进行建模,这些吞吐量是较低层的参数的函数,例如链路层重传的最大数量和物理层(PHY)的传输模式。在此分析的基础上,我们开发了一种网络编码算法,该算法可机会性地并局部地优化单个数据包传输的预期信息内容。为了解决多跳设置中的问题,我们专注于控制由编码数据包的传输所消耗的广播时间。更具体地说,我们设计了一种分布式合作算法,该算法允许节点通过考虑邻居的PHY选择来选择最佳PHY传输模式。节点仅使用链路争用关系直至其干扰范围的部分视图。与ad hoc网络中机会网络编码和调度的现有工作相比,我们的方法无需采用复杂的链路调度算法即可获得显着的吞吐量收益。

著录项

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