基于混合拓扑的机械无线传感器网络多信道数据传输方法

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振动与冲击 ›› 2018, Vol. 37 ›› Issue (4) : 28-34.

论文

曾超，汤宝平，邓蕾，肖鑫

作者信息 +

Multi-channel data transmission method for mechanical wireless sensor networks based on hybrid topology

Zeng Chao，Tang Baoping，Deng Lei，Xiao Xin

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文章历史 +

摘要

针对机械振动无线传感器网络节点因信道带宽窄导致网络传输速率过低，在大量原始数据传输需求下实时性较差的问题，提出一种基于簇树星型混合拓扑的多信道数据传输方法。首先对各传感器网络节点进行树间通信干扰最小化信道分配，避免邻频干扰影响树间并行通信，在数据同步采集结束后，各节点以分配信道组建簇树星型混合拓扑网络进行数据传输；然后，采用树间通信握手机制和树间通信优先级抢占机制解决簇树星型混合拓扑带来的树间互盲问题；最后，将各采集节点短地址作为调度信息载入信标进行广播，各采集节点根据调度信息决定进行数据传输或者休眠，实现树内通信能耗最小化时序调度。将提出的多信道数据传输方法与载波侦听多路访问/冲突避免机制进行对比，实验结果表明该方法能有效提高机械振动无线传感器网络数据传输速率。

Abstract

Aiming at the problems of machine vibration wireless sensor networks node with narrow bandwidth has low network transmission rate and poor real-time capability, especially in mass raw data transmission requirements, a Multi-channel Data Transmission method based on tree-star Hybrid Topology (MDTHT_WJ) is proposed. Firstly, to avoid adjacent channel interference affect parallel communication, allocate channels for each wireless sensor network node with minimizing inter-tree communication interference, each node forms a tree-star hybrid topology network with allocated channel for data transmission after synchronous data acquisition. Then, handshake mechanism and preemptive priority mechanism is utilized to solve network partitions problem. Finally, the network short address of each data acquisition node is regarded as scheduling information, routers broadcast the scheduling information with beacons, and each data acquisition node decides to whether transmit data or sleep according to the scheduling information, realizing the time-scheduled inner-tree communication with minimizing power consumption. Comparative experiment with carrier sense multiple access with collision avoidance is carried out and experiment results indicate that the network transmission rate of machine vibration wireless sensor networks can be improved effectively by this method.

导出引用

曾超，汤宝平，邓蕾，肖鑫. 基于混合拓扑的机械无线传感器网络多信道数据传输方法[J]. 振动与冲击, 2018, 37(4): 28-34

Zeng Chao，Tang Baoping，Deng Lei，Xiao Xin. Multi-channel data transmission method for mechanical wireless sensor networks based on hybrid topology[J]. Journal of Vibration and Shock, 2018, 37(4): 28-34

参考文献

[ 1 ] 曾贵伟, 汤宝平, 邓蕾,等. 机械振动无线传感器网络节点高精度数据采集方法[J]. 振动与冲击, 2016, 35(16):59-63.
ZENG G W, TANG B P, LEI D, et al. A high precision method for mechanical vibration data acquisition based on wireless sensor networks node [J]. Zhendong Yu Chongji/journal of Vibration & Shock, 2016, 35(16):59-63.
[ 2 ] 黄庆卿, 汤宝平, 邓蕾,等. 无线传感器网络子带能量自适应数据压缩方法[J]. 仪器仪表学报, 2014, 35(9):1998-2003.
HUANG Q, TANG B, DENG L, et al. Subband energy adaptive data compression method for wireless sensor networks[J]. Chinese Journal of Scientific Instrument, 2014,35(9):1998-2003.
[ 3 ] 汤宝平, 黄庆卿, 邓蕾,等. 机械设备状态监测无线传感器网络研究进展[J]. 振动、测试与诊断, 2014, 34(1):1-7.
TANG B P, HUANG Q Q, DENG L, et al. Research progress and challenges of wireless sensor networks for machinery equipment condition monitoring[J]. Journal of Vibration, Measurement & Diagnosis, 2014, 34(1): 1-7.
[ 4 ] HEO G, JEON J. An Artificial Filter Bank (AFB) for Structural Health Monitoring of Civil Structures – Part2: An Implementation and Evaluation of the AFB[J]. Procedia Engineering, 2015, 114(2-3):564-573.
[ 5 ] FRASER M, ELGAMAL A, HE X, et al. Sensor Network for Structural Health Monitoring of a Highway Bridge[J]. American Society of Civil Engineers, 2014, 24(1):11-24.
[ 6 ] ZHOU G, HUANG C, YAN T, et al. MMSN: Multi-Frequency Media Access Control for Wireless Sensor Networks[C]// Infocom IEEE International Conference on Computer Communications. IEEE, 2006:1-13.
[ 7 ] INCEL O D. A survey on multi-channel communication in wireless sensor networks[J]. Computer Networks, 2011, 55(13):3081-3099.
[ 8 ] CHENG B, CI L, TIAN C, et al. A Multi-channel MAC Protocol with High Throughput for Wireless Sensor Networks[M]// Advanced Technologies in Ad Hoc and Sensor Networks. Springer Berlin Heidelberg, 2014:145-154.
[ 9 ] GUGLIELMO D D, NAHAS B A, DUQUENNOY S, et al. Analysis and experimental evaluation of IEEE 802.15.4e TSCH CSMA-CA Algorithm[J]. IEEE Transactions on Vehicular Technology, 2016:1-1.
[ 10 ] WU Y, LIU K S, STANKOVIC J A, et al. Efficient Multichannel Communications in Wireless Sensor Networks[J]. Acm Transactions on Sensor Networks, 2016, 12(1).
[ 11 ] CHEN Y, GOMES P H, KRISHNAMACHARI B. Multi-channel Data Collection for Throughput Maximization in Wireless Sensor Networks[J]. 2014.
[ 12 ] SAZONOV E, KRISHNAMURTHY V, SCHILLING R. Wireless intelligent sensor and actuator network-a scalable platform for time-synchronous applications of structural health monitoring[J]. Structural Health Monitoring, 2010, 9(5): 465-476.
[ 13 ] BOCCA M, ERIKSSON L M, MAHMOOD A, et al. A Synchronized Wireless Sensor Network for Experimental Modal Analysis in Structural Health Monitoring[J]. Computer-Aided Civil and Infrastructure Engineering, 2011, 26: 483-499.
[ 14 ] 黄庆卿, 汤宝平, 邓蕾,等. 机械振动无线传感器网络跨层同步采集方法[J]. 仪器仪表学报, 2014, 35(05):1143-1148.
HUANG Q, TANG B, LEI D, et al. Synchronous acquisition method based on cross-layer design for machine vibration wireless sensor networks[J]. Chinese Journal of Scientific Instrument, 2014, 35(5):1143-1148.
[ 15 ] 裴勇, 汤宝平, 邓蕾,等. 基于信标时序补偿的机械振动无线传感器网络同步触发方法[J]. 振动与冲击, 2014(03):57-62.
YONG P, TANG B P, LEI D, et al. A WSN mechanical vibration synchronous acquisition trigger protocol based on beacon timing compensation[J]. Zhendong Yu Chongji/journal of Vibration & Shock, 2014, 33(3):57-62.