Title: Research on data acquisition method of multi-sensor robots based on network coding

Authors: Yong Hou

Addresses: Department of Computer Engineering, Henan Institute of Economics and Trade, Zhengzhou, China

Abstract: In order to improve the efficiency of robot data acquisition, a data acquisition method of multi-sensor robot based on network coding is proposed. By initialising the coefficient matrix and packet cache in sensor nodes, the encoded vectors and encoded packets of the collected data are stored. Then, with the reliable transmission technology of source coding, the collected data are transmitted, and the transmitted data are received according to the one-time Gaussian elimination method. Finally, the data acquisition of the multi-sensor robot is completed through the data packets collected by linear network coding and the global coding vector. The experimental results show that when the error of sensor data collected by this method is kept within 0.39% and the coding coefficient is 4, the collection efficiency is the highest, and the data collected by multi-sensor robots can be transmitted well under different packet loss probabilities, with high data transmission reliability.

Keywords: network coding; sensor; robot; data acquisition; time-driven; event-driven.

DOI: 10.1504/IJRIS.2022.126649

International Journal of Reasoning-based Intelligent Systems, 2022 Vol.14 No.4, pp.233 - 239

Received: 15 Mar 2022
Accepted: 30 May 2022
Published online: 31 Oct 2022 *

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