Multi-channel Transmission Method for Mechanical Vibration Wireless Sensor Networks Based on Time Synchronized Scheduling

被引：0
|
作者：
Tang B. [1 ]
Zhou Y. [1 ]
Xiao X. [1 ]
Deng L. [1 ]
机构：
[1] State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing
来源：
Zhendong Ceshi Yu Zhenduan/Journal of Vibration, Measurement and Diagnosis | 2019年 / 39卷 / 06期
关键词：
Data transmission; Mechanical vibration; Multi-channel; Time synchronization; Wireless sensor networks;
D O I：
10.16450/j.cnki.issn.1004-6801.2019.06.006
中图分类号：
学科分类号：
摘要：
Aiming at the problems that machine vibration wireless sensor networks has a low network transmission rate in multi-hop application due to the intense channel competition, a multi-channel data transmission method based on time synchronized scheduling is proposed to improve the multi-hop transmission performance for clock synchronization accuracy, network scheduling efficiency and channel interference. The clock synchronization method for multi-hop network based on beacon timing compensation is used to realize the whole network synchronous scheduling of data transmission. The data transmission scheduling method of father-son link timing rotation is utilized to maximize the effective transmission time. Furthermore, the interference minimization channel allocation method is adopted to realize the transmission channel allocation in multi-hop networks and to avoid the influence to the parallel data transmission from adjacent frequency interference. In addition, the packet loss detection retransmission mechanism is used to guarantee the reliability of data transmission and avoid vibration data packet dropout. Multi-channel data transmission performance test results show that the method can improve the data transmission rate of multi-hop network from 10 kbps to 70 kbps, and meet the data transmission requirements of multi-hop mechanical vibration wireless sensor networks. © 2019, Editorial Department of JVMD. All right reserved.
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页码：1183 / 1188
页数：5
相关论文
共 11 条
  • [1] Yin S., Li X., Gao H., Et al., Data-based techniques focused on modern industry: an overview, IEEE Transactions on Industrial Electronics, 62, 1, pp. 657-667, (2014)
  • [2] Tang B., Huang Q., Lei D., Et al., Research progress and challenges of wireless sensor networks for machinery equipment condition monitoring, Journal of Vibration, Measurement & Diagnosis, 34, 1, pp. 1-7, (2014)
  • [3] Huang Q., Tang B., Deng L., Development of high synchronous acquisition accuracy wireless sensor network for machine vibration monitoring, Measurement, 66, pp. 35-44, (2015)
  • [4] Xiao X., Tang B., Deng L., High accuracy synchronous acquisition algorithm of multi-hop sensor networks for machine vibration monitoring, Measurement, 102, pp. 10-19, (2017)
  • [5] Tang B., He C., Cao X., Topology of wireless sensor networks for mechanical vibration monitoring, Journal of Vibration, Measurement & Diagnosis, 30, 4, pp. 357-361, (2010)
  • [6] Yan S., Yang M., Construction protocol of wireless sensor network based on centralized clustering routing and time division multiplexing MAC protocol, Indonesian Journal of Electrical Engineering and Computer Science, 12, 7, pp. 5591-5598, (2014)
  • [7] Boselin P.S.R., Sakkthi V.V.S., Babu A., Et al., Mobility assisted dynamic routing for mobile wireless sensor networks, International Journal of Advanced Information Technology, 3, 1, pp. 9-19, (2017)
  • [8] Zeng G., Tang B., Deng L., Et al., A high precision method for mechanical vibration data acquisition based on wireless sensor networks node, Journal of Vibration and Shock, 35, 16, pp. 59-63, (2016)
  • [9] Ziouva E., Antonakopoulos T., CSMA/CA performance under high traffic conditions: throughput and delay analysis, Computer Communications, 25, 3, pp. 313-321, (2002)
  • [10] IEEE 802.15.4-2006 Wireless medium access control (MAC) and physical layer (PHY) specifications for low rate wireless personal area networks (WPANs), (2006)
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