Transmit power optimization control method for a mechanical vibration wireless sensor network with a lot of transmission data

ZHU Liangliang, TANG Baoping, HUANG Yi,DENG Lei

Journal of Vibration and Shock ›› 2020, Vol. 39 ›› Issue (17) : 275-280.

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Journal of Vibration and Shock ›› 2020, Vol. 39 ›› Issue (17) : 275-280.

Transmit power optimization control method for a mechanical vibration wireless sensor network with a lot of transmission data

  • ZHU Liangliang, TANG Baoping, HUANG Yi,DENG Lei
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Abstract

Aiming at the problem of a mechanical vibration wireless sensor network’s collection node using the maximum transmit power to transmit a lot of data and cause high transmission energy consumption, a transmit power optimization control method for this network was proposed. Firstly, statistical tests were conducted to determine discrete relations among link quality indicator (LQI), packet loss retransmission rate, node transmit power and energy consumption required to transmit a single data packet, as well as mathematical model types of node transmit power and LQI. Then, the least squares method was used to fit these discrete data, and construct the relation model between node transmit power and transmission energy consumption. Finally, this relation model was optimized to obtain the transmit power corresponding to the minimum power consumption. Thus, before each time to transmit data, the collection node only needed to transmit a very small number of data packets, and then the model was used to reoptimize and update the transmit power. Test results showed that the proposed method can optimally control the transmit power to reduce the transmission energy consumption of mechanical vibration wireless sensor network.

Key words

mechanical vibration monitoring / wireless sensor networks (WSNs) / transmit power / link quality indication (LQI) / packet loss retransmission rate / transmission energy consumption

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ZHU Liangliang, TANG Baoping, HUANG Yi,DENG Lei. Transmit power optimization control method for a mechanical vibration wireless sensor network with a lot of transmission data[J]. Journal of Vibration and Shock, 2020, 39(17): 275-280

References

[1] 蔡巍巍,汤宝平,黄庆卿. 面向机械振动信号采集的无线传感器网络节点设计[J]. 振动与冲击, 2013, 32(1):73-77.
CAI Wei-wei, TANG Bao-ping, HUANG Qing-qing. Design of wireless sensor network node for collecting mechanical vibration signals[J]. Journal of Vibration & Shock, 2013, 32(1):73-77.
[2] Guo P, Jiang T, Zhang K. Novel 2-hop coloring algorithmfor time-slot assignment of newly deployed sensor nodes without ID in wireless sensor and robot networks[J]. Computer
Communications, 2012, 35(9):1125-1131.
[3] Barcelo M , Correa A , Vicario J L , et al. Joint routing and transmission power control for Collection Tree Protocol in WSN[C]// IEEE International Symposium on Personal Indoor & Mobile Radio Communications. IEEE, 2013.
[4] Meghji M, Habibi D. Transmission power control in multihop wireless sensor networks[C]// International Conference on Ubiquitous and Future Networks. IEEE, 2011:25-30.
[5] 赵春华, 邓蕾, 汤宝平, 等. 基于信标同步触发的机械振动WSNs传输休眠时序调度方法[J]. 振动与冲击, 2018, 37(22):98-103.
ZHAO Chun-hua, DENG Lei, TANG Bao-ping, et al. Transmission-sleep timing scheduling method based on the beacon synchronous trigger for machine vibration wireless sensor networks[J]. Journal of Vibration & Shock, 2018, 37(22):98-103.
[6] Cotuk H, Bicaki K, Tavli B, et al. The Impact of Transmission Power Control Strategies on Lifetime of Wireless Sensor Networks[J]. IEEE Transactions on Computers, 2014, 63(11):2866-2879.
[7] Xu L, Delaney D T, Ohare G M P,et al. The Impact of Transmission Power Control in Wireless Sensor Networks[C]// IEEE International Symposium on Network Computing and Applications. IEEE,2013:255-258.
[8] Javad Akbari Torkestani. An Energy-Efficient Topology Control Mechanism for Wireless Sensor Networks Based on Transmit Power Adjustment[J]. Wireless Personal Communications, 2015, 82(4):2537-2556.
[9] Yusof Y M , Islam A.K.M.M , Baharun S. An experimental study of WSN transmission power optimisation using MICAz motes[C]// International Conference on Advances in Electrical Engineering. IEEE, 2016.
[10] Malekshan K R, Zhuang W . Joint Scheduling and Transmission Power Control in Wireless Ad Hoc Networks[J]. IEEE Transactions on Wireless Communications, 2017, PP(99):1-1.
[11] 吕 涛,施伟斌. 无线传感器网络自适应功率调整机制研究[J]. 信息技术, 2014(3):134-136.
LV Tao, SHI Wei-bin. Adaptive power adjustment mechanism for wireless sensor networks[J]. Information Technology, 2014(3):134-136.
[12] Mirza M Y M, Ahmed G , Khan N M. Model-Based Adaptive Transmission Power Control (MATPoC) for Wireless Sensor Networks in Fading Environment[J]. Journal of Circuits,Systems and Computers, 2017, 26(09): 1750143-1-1750143-34.
[13]阮啟东. 面向机械振动监测的无线传感器网络可靠传输协议的研究[D]. 重庆大学, 2012.
RUAN Qi-dong. Research on reliable transmission protocol of wireless sensor networks for mechanical vibration monitoring[D]. Chongqing university, 2012.
[14] Cerpa A, Wong J L, Kuang L, et al. Statistical model of lossy links in wireless sensor networks[C]. 2005: 81-88.
[15]曾 超,邓 蕾,张又进,等. 机械振动无线传感器网络数据分块大小研究[J]. 仪器仪表学报,2016, 37(7):1556-1563.
ZENG Chao, DENG Lei, ZHANG You-jin, et al. Research on the data block size of mechanical vibration wireless sensor networks[J]. Chinese Journal of Scientific Instrument, 2016, 37(7):1556-1563.

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