[1]张浩,杨冬,周华春. 控制与数据分离的工业无线传感器网络设计[J].计算机技术与发展,2015,25(08):62-66.
　ZHANG Hao,YANG Dong,ZHOU Hua-chun. Design of Industrial Wireless Sensor Network of Control and Data Separation[J].,2015,25(08):62-66.
点击复制

 控制与数据分离的工业无线传感器网络设计()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
25
期数:
2015年08期
页码:
62-66
栏目:
智能、算法、系统工程
出版日期:
2015-08-10

文章信息/Info

Title:
 Design of Industrial Wireless Sensor Network of Control and Data Separation
文章编号:
1673-629X（2015)08-0062-05
作者:
 张浩; 杨冬; 周华春
 北京交通大学 电子信息工程学院
Author(s):
 ZHANG Hao; YANG Dong ; ZHOU Hua-chun
关键词:
 ; 控制与数据分离; 时分复用; 集中控制; 时隙调度
Keywords:
 ; separation of control and forwarding; TDMA; centralized control; slot scheduling
分类号:
TP302.1
文献标志码:
A
摘要:
 现有无线传感器网络主要工作在分布式系统下，难于管控。为了解决无线传感器网络在工业应用中所面临的挑战，基于WirelessHart工业无线传感器网络标准提出集中控制的思想，研究设计适合工业无线传感器网络系统控制与数据转发分离的网络架构，并且设计实现符合WirelessHart标准的TDMA时隙调度算法。文中提出的网络构架和时隙调度算法可以根据工业应用的业务需求灵活分配通信资源。从而减轻节点设备的处理压力，提高节点的灵活快速响应能力，实现可靠实时的工业无线传感器网络。
Abstract:
 The existing wireless sensor networks mainly work in distributed systems,which is hard to control. In order to address the chal-lenges of wireless sensor networks in industrial applications,based on WirelessHart industrial wireless sensor networks standard,the cen-tralized control thinking is proposed,research and design a network architecture for industrial wireless sensor network system control and data forwarding separation,and the TDMA slot scheduling algorithm is designed to achieve compliance with the standard WirelessHart. Network architecture and slot scheduling algorithm proposed in this paper can flexibly allocate the communication resources according to business needs of industrial applications,thereby relieving the pressure of node processing equipment,improving flexibility and fast re-sponse capability of nodes,achieving reliable and real-time industrial wireless sensor networks.

相似文献/References:

[1]张志宏,吴庆波,邵立松,等.基于飞腾平台TOE协议栈的设计与实现[J].计算机技术与发展,2014,24(07):1.
　ZHANG Zhi-hong,WU Qing-bo,SHAO Li-song,et al. Design and Implementation of TCP/IP Offload Engine Protocol Stack Based on FT Platform[J].,2014,24(08):1.
[2]梁文快,李毅. 改进的基因表达算法对航班优化排序问题研究[J].计算机技术与发展,2014,24(07):5.
　LIANG Wen-kuai,LI Yi. Research on Optimization of Flight Scheduling Problem Based on Improved Gene Expression Algorithm[J].,2014,24(08):5.
[3]黄静,王枫,谢志新,等. EAST文档管理系统的设计与实现[J].计算机技术与发展,2014,24(07):13.
　HUANG Jing,WANG Feng,XIE Zhi-xin,et al. Design and Implementation of EAST Document Management System[J].,2014,24(08):13.
[4]侯善江[],张代远[][][]. 基于样条权函数神经网络P2P流量识别方法[J].计算机技术与发展,2014,24(07):21.
　HOU Shan-jiang[],ZHANG Dai-yuan[][][]. P2P Traffic Identification Based on Spline Weight Function Neural Network[J].,2014,24(08):21.
[5]李璨,耿国华,李康,等. 一种基于三维模型的文物碎片线图生成方法[J].计算机技术与发展,2014,24(07):25.
　LI Can,GENG Guo-hua,LI Kang,et al. A Method of Obtaining Cultural Debris’ s Line Chart Based on Three-dimensional Model[J].,2014,24(08):25.
[6]翁鹤,皮德常. 混沌RBF神经网络异常检测算法[J].计算机技术与发展,2014,24(07):29.
　WENG He,PI De-chang. Chaotic RBF Neural Network Anomaly Detection Algorithm[J].,2014,24(08):29.
[7]刘茜[],荆晓远[],李文倩[],等. 基于流形学习的正交稀疏保留投影[J].计算机技术与发展,2014,24(07):34.
　LIU Qian[],JING Xiao-yuan[,LI Wen-qian[],et al. Orthogonal Sparsity Preserving Projections Based on Manifold Learning[J].,2014,24(08):34.
[8]尚福华,李想,巩淼. 基于模糊框架-产生式知识表示及推理研究[J].计算机技术与发展,2014,24(07):38.
　SHANG Fu-hua,LI Xiang,GONG Miao. Research on Knowledge Representation and Inference Based on Fuzzy Framework-production[J].,2014,24(08):38.
[9]叶偲,李良福,肖樟树. 一种去除运动目标重影的图像镶嵌方法研究[J].计算机技术与发展,2014,24(07):43.
　YE Si,LI Liang-fu,XIAO Zhang-shu. Research of an Image Mosaic Method for Removing Ghost of Moving Targets[J].,2014,24(08):43.
[10]余松平[][],蔡志平[],吴建进[],等. GSM-R信令监测选择录音系统设计与实现[J].计算机技术与发展,2014,24(07):47.
　YU Song-ping[][],CAI Zhi-ping[] WU Jian-jin[],GU Feng-zhi[]. Design and Implementation of an Optional Voice Recording System Based on GSM-R Signaling Monitoring[J].,2014,24(08):47.

更新日期/Last Update: 2015-09-11