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A cognitive PHY-MAC cooperative protocol for low-power short-range wireless ad-hoc networks using UWB PPM radios.

机译:使用UWB PPM无线电的低功率短距离无线自组织网络的认知PHY-MAC合作协议。

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摘要

Nowadays low-power short-range wireless ad-hoc networks are becoming more popular as the demand for wireless applications such as sensor and personal area networks continue to grow. Recently, in particular since the Federal Communications Commission approval in 2002, ultra-wideband (UWB) communications have been proposed as a viable and efficient alternative to implement short-range wireless applications. For the past decade, numerous investigations and research works have been done in order to employ UWB technology in wireless applications that have been traditionally implemented with conventional narrowband technologies. The vast range of benefits offered by UWB makes it, in many cases, an ideal solution when implementing wireless radios and networks. Low-power operation, low-complexity and low-cost radio architectures, and high data rates are among the many advantages of UWB. In most short-range wireless ad-hoc networks, low-power operation as well as multiple access control (MAC) is crucial in the network design.;Pulse-position modulation (PPM) is a well-known digital modulation scheme that when used in UWB radios can achieve simple low-cost architectures and more importantly a very low-power operation while offering relatively good data rates and bit-error rate (BER) performance. The DCF function described by the IEEE 802.11 WLAN standard is used quite often as the MAC protocol when implementing wireless networks in general and has proven to be efficient for many applications. This doctoral dissertation presents a new cognitive and cooperative protocol between the physical (PHY) layer and the MAC sublayer for wireless ad-hoc networks using PPM UWB radios. By a cognitive estimation of the wireless channel and the cooperation between the MAC and PHY layers, the cognitive protocol can dynamically adjust the transmission data rate between two nodes optimizing their communication. Simulations show that the protocol improves the overall network performance in terms of message delivery ratio and average transmission delay.
机译:如今,随着对无线应用(如传感器和个人局域网)的需求不断增长,低功率短距离无线自组织网络变得越来越流行。最近,特别是自2002年联邦通信委员会批准以来,超宽带(UWB)通信已被提议为实现短距离无线应用的可行且有效的替代方案。在过去的十年中,已经进行了许多调查和研究工作,以将UWB技术应用于传统上已通过常规窄带技术实现的无线应用中。在许多情况下,UWB提供的广泛优势使其成为实现无线电和网络时的理想解决方案。低功耗操作,低复杂度和低成本无线电架构以及高数据速率是UWB的众多优势之一。在大多数短距离无线自组织网络中,低功耗操作以及多路访问控制(MAC)在网络设计中至关重要。脉冲位置调制(PPM)是一种众所周知的数字调制方案,在使用时在UWB中,无线电可以实现简单的低成本架构,更重要的是可以实现非常低的功耗,同时提供相对较好的数据速率和误码率(BER)性能。一般而言,在实现无线网络时,IEEE 802.11 WLAN标准描述的DCF功能经常用作MAC协议,并已被证明对许多应用有效。该博士论文提出了一种新的认知和合作协议,用于使用PPM UWB无线电的无线自组织网络的物理(PHY)层与MAC子层之间。通过对无线信道的认知估计以及MAC和PHY层之间的协作,认知协议可以动态调整两个节点之间的传输数据速率,从而优化其通信。仿真表明,该协议在消息传递率和平均传输延迟方面提高了整体网络性能。

著录项

  • 作者

    Almodovar-Faria, Jose M.;

  • 作者单位

    University of Florida.;

  • 授予单位 University of Florida.;
  • 学科 Electrical engineering.;Computer engineering.
  • 学位 Ph.D.
  • 年度 2014
  • 页码 147 p.
  • 总页数 147
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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