北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2013, Vol. 36 ›› Issue (2): 24-27.doi: 10.13190/jbupt.201302.24.jianlh

• 论文 • 上一篇    下一篇

使用GPU加速无线传感器网络信道仿真

菅立恒,易卫东   

  1. 中国科学院大学 电子电气与通信工程学院, 北京 100049
  • 收稿日期:2012-09-12 修回日期:2012-11-23 出版日期:2013-04-30 发布日期:2013-03-25
  • 通讯作者: 菅立恒 E-mail:jian.9613@gmail.com
  • 作者简介:菅立恒(1979-),男,博士生,Email:jian.9613@gmail.com 易卫东(1959-),男,教授,博士生导师
  • 基金资助:

    国家科技重大专项项目(2010ZX03006-001)

Acceleration of Simulation of Radio Channel in Wireless Sensor Networks Using GPU

JIAN Li-heng, YI Wei-dong   

  1. School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2012-09-12 Revised:2012-11-23 Online:2013-04-30 Published:2013-03-25
  • Contact: Li-Heng JIAN E-mail:jian.9613@gmail.com
  • Supported by:

    National Science and Technology Major Projects

摘要:

针对现有无线传感器网络信道仿真难以获得高效的执行性能问题,提出并实现了一个基于Nvidia的图形处理器(GPU)+CUDA计算体系的并行信道仿真系统;研发了可驻留于GPU高速片上存储的CUDA树群,以其组织节点,并加速探测可能的发包节点;建立了完全不同于传统信道仿真的CUDA并行信道仿真引擎. 实验结果表明,该系统以高达528.73倍的加速比远胜于相应的中央处理器实现,并线性扩展于网内节点数目.

关键词: 无线传感器网络, 无线信道, 仿真, CUDA树群

Abstract:

Due to the computationally-intensive characteristic, the available radio channel simulators of wireless sensor networks (WSN) cannot achieve efficient execution performances. A parallel radio channel simulator using Nvidias graphics processing unit + compute unified device architecture (GPU+CUDA) parallel computing architecture is proposed. Firstly, CUDA-trees is developed, which can reside on the fast on-chip memory of GPU, so as to organize sensor nodes and facilitate detection of possible transmitters in simulation. Secondly, a CUDA parallel radio channel simulating engine is established, which is totally different from that in traditional WSN simulators. Experiments show that this simulating system greatly outperforms a central processing unit implementation with an up to 528.73 times speedup and has a linear scalability.

Key words: wireless sensor networks, radio channel, simulation, compute unified device architecture-trees

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