An adaptive transmission control method of large-scale data of mechanical vibration WSN

SHU Shuai, TANG Baoping, HUANG Yi, ZHAO Chunhua, FU Hao

Journal of Vibration and Shock ›› 2023, Vol. 42 ›› Issue (4) : 263-269.

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PDF(1476 KB)
Journal of Vibration and Shock ›› 2023, Vol. 42 ›› Issue (4) : 263-269.

An adaptive transmission control method of large-scale data of mechanical vibration WSN

  • SHU Shuai, TANG Baoping, HUANG Yi, ZHAO Chunhua, FU Hao
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Abstract

Aiming at the problem of high transmission energy consumption when each data packet is transmitted in Acknowledgement mode when the mechanical vibration wireless sensor network transmits a large amount of data, Adaptive Transmission Control Method of Large-scale Data is proposed. First, using the grouped data packet detection mechanism to reduce the additional energy consumption caused by the transmission of acknowledgement frames, the determining optimal number of packets through experiments to avoid wasting the limited storage resources of Wireless Sensor Networks nodes; Secondly, using the specific flag bit of the frame control domain to inform the sending node of the packet loss status without additional data frames, which avoid feedback information packet delivery conflicts, then optimizing the feedback information packet back-off index to reduce the listening energy consumption caused by the delay of feedback information packet delivery; Finally, fitting the relationship between packet loss rate and link quality indicator by least square method for node’s adaptively selection of the best transmission mode. The experimental results show that the proposed method can effectively reduce the energy consumption of data transmission and increase the transmission rate.

Key words

words: mechanical vibration monitoring / acknowledgement / negative acknowledgement( ACK/NACK) / transmission energy consumption / wireless sensor networks (WSNs) / ordinary least squares

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SHU Shuai, TANG Baoping, HUANG Yi, ZHAO Chunhua, FU Hao. An adaptive transmission control method of large-scale data of mechanical vibration WSN[J]. Journal of Vibration and Shock, 2023, 42(4): 263-269

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