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Tsinghua Science and Technology 2020, 25(5): 647-658 https://doi.org/10.26599/TST.2019.9010037
Open Access | Issue | Published: 16 March 2020

Optimal Data Transmission in Backscatter Communication for Passive Sensing Systems

Show Author's Information Jumin Zhao,  Ji Li,  Dengao Li( ),  Haizhu Yang
School of Information and Computer, Taiyuan University of Technology, Taiyuan 030600, China.
School of Big Data, Taiyuan University of Technology, Taiyuan 030600, China.
Keywords:
uplink multi-data, frame length optimization, Computational Radio Frequency IDentification (CRFID), Cyclic Redundancy Check (CRC)
Cite this article:
Zhao J, Li J, Li D, et al. Optimal Data Transmission in Backscatter Communication for Passive Sensing Systems. Tsinghua Science and Technology, 2020, 25(5): 647-658. https://doi.org/10.26599/TST.2019.9010037
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Abstract Full text About this article

Computational Radio Frequency IDentification (CRFID) is a device that integrates passive sensing and computing applications, which is powered by electromagnetic waves and read by the off-the-shelf Ultra High Frequency Radio Frequency IDentification (UHF RFID) readers. Traditional RFID only identifies the ID of the tag, and CRFID is different from traditional RFID. CRFID needs to transmit a large amount of sensing and computing data in the mobile sensing scene. However, the current Electronic Product Code, Class-1 Generation-2 (EPC C1G2) protocol mainly aims at the transmission of multi-tag and minor data. When a large amount of data need to be fed back, a more reliable communication mechanism must be used to ensure the efficiency of data exchange. The main strategy of this paper is to adjust the data frame length of the CRFID response dynamically to improve the efficiency and reliability of CRFID backscattering communication according to energy acquisition and channel complexity. This is done by constructing a dynamic data frame length model and optimizing the command set of the interface protocol. Then, according to the actual situation of the uplink, a dynamic data validation method is designed, which reduces the data transmission delay and the probability of retransmitting, and improves the throughput. The simulation results show that the proposed scheme is superior to the existing methods. Under different energy harvesting and channel conditions, the dynamic data frame length and verification method can approach the theoretical optimum.


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About this article

Optimal Data Transmission in Backscatter Communication for Passive Sensing Systems

Show Author's information Jumin Zhao, Ji Li, Dengao Li( ), Haizhu Yang
School of Information and Computer, Taiyuan University of Technology, Taiyuan 030600, China.
School of Big Data, Taiyuan University of Technology, Taiyuan 030600, China.

Abstract

Computational Radio Frequency IDentification (CRFID) is a device that integrates passive sensing and computing applications, which is powered by electromagnetic waves and read by the off-the-shelf Ultra High Frequency Radio Frequency IDentification (UHF RFID) readers. Traditional RFID only identifies the ID of the tag, and CRFID is different from traditional RFID. CRFID needs to transmit a large amount of sensing and computing data in the mobile sensing scene. However, the current Electronic Product Code, Class-1 Generation-2 (EPC C1G2) protocol mainly aims at the transmission of multi-tag and minor data. When a large amount of data need to be fed back, a more reliable communication mechanism must be used to ensure the efficiency of data exchange. The main strategy of this paper is to adjust the data frame length of the CRFID response dynamically to improve the efficiency and reliability of CRFID backscattering communication according to energy acquisition and channel complexity. This is done by constructing a dynamic data frame length model and optimizing the command set of the interface protocol. Then, according to the actual situation of the uplink, a dynamic data validation method is designed, which reduces the data transmission delay and the probability of retransmitting, and improves the throughput. The simulation results show that the proposed scheme is superior to the existing methods. Under different energy harvesting and channel conditions, the dynamic data frame length and verification method can approach the theoretical optimum.

Keywords: uplink multi-data, frame length optimization, Computational Radio Frequency IDentification (CRFID), Cyclic Redundancy Check (CRC)

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Publication history

Received: 19 April 2019
Revised: 18 July 2019
Accepted: 23 July 2019
Published: 16 March 2020
Issue date: October 2020

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© The author(s) 2020

Acknowledgements

The research was supported by the National Key Basic Research and Development Program of China (No. 2018YFB2200900), and the National Natural Science Foundation of China (Nos. 61772358 and 61972273), and the Transformation and Cultivation Project of Scientific and Technological Achievements of Universities in Shanxi Province.

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