应用科学学报 ›› 2012, Vol. 30 ›› Issue (5): 473-478.doi: 10.3969/j.issn.0255-8297.2012.05.006

• 通信工程 • 上一篇    下一篇

传感器网络微分环节中改进的最佳二阶近似模流量控制

倪晓, 石为人, 黄勤   

  1. 重庆大学自动化学院, 重庆400030
  • 收稿日期:2011-09-06 修回日期:2011-09-29 出版日期:2012-09-24 发布日期:2012-09-25
  • 通信作者: 倪晓,副教授,研究方向:嵌入式系统,E-mail: nixiao@hotmail.com;
  • 作者简介:倪晓,副教授,研究方向:嵌入式系统,E-mail: nixiao@hotmail.com;石为人,教授,博导,研究方向:智能感知、控制与决策、嵌入式系统等,E-mail:wrs@cqu.edu.cn

Flow Control of Optimum Second Order Approximation Modulus with Improved Differentiation Element in Sensor Networks

NI Xiao, SHI Wei-ren, HUANG Qin   

  1. College of Automation, Chongqing University, Chongqing 400030, China
  • Received:2011-09-06 Revised:2011-09-29 Online:2012-09-24 Published:2012-09-25

摘要:

自组织无线传感器网络的结构组合具有随机性,当节点传输数据时,数据缓冲区很容易发生传输拥塞.为解决这个问题,该文提出对微分环节进行改进的最佳二阶近似模流量控制方法. 该方法把传感器网络设计抽象成一个控制器,此控制器具有最佳二阶近似模传递函数. 控制器把节点数据缓冲区的实际数据高度负反馈到输入端,根据缓冲区实际高度和理想高度的差值大小,由控制器控制上游节点发送数据的速率. 为了减小系统超调量和使峰值提前,在传递函数中再加入一个微分环节,以确保网络在暂态和稳态阶段缓冲区数据都不会发生溢出.

关键词: 传感器网络, 流量控制, 最佳二阶近似模

Abstract:

Because self-organized wireless sensor network is randomly setup, data transmission among the nodes is subject to traffic jam. To address this problem, this paper proposes a method of optimum second order approximation modulus with an improved differentiation element to control data transmission. The controller applies a function of the optimum second order approximation modulus as its transfer function. It negatively
feedbacks the data buffer length in a node to its input point, and controls the speed of data transmission of the up-stream node. A differential element is added to the transfer function to reduce over-modulation and speed the peak emergence. Thus no traffic overflow will occur both in transition and in permanent periods.

Key words: sensor network, flow control, optimum second order approximation modulus

中图分类号: