Paper
26 May 2023 Analysis of domestic LoRa application based on bibliometry
Dezhi Wang, Qingqing Zhang, Chang Liu
Author Affiliations +
Proceedings Volume 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023); 127003N (2023) https://doi.org/10.1117/12.2682515
Event: International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 2023, Nanchang, China
Abstract
This paper proposes to analyze the research and application status of LoRa through bibliometry and the knowledge map generated by CiteSpace, and to clarify its research hotspot and development trend. For methods, the 2000-2022 in the National Knowledge Infrastructure database (CNKI) is used. The Excel was used to generate annual distribution, CiteSpace was used to generate knowledge maps of authors, institutions, keywords, etc., and analyze the research application status and frontier of LoRa. A list of results includes a total of 2209 effective documents were obtained, and the number of articles is the author and universities, close cooperation and small cooperation; the nature of LoRa, low power applications include environmental monitoring, intelligent water meter, etc.; long distance applications include data acquisition, data transmission, wireless communication, wireless transmission, etc.; LoRa is more and more widely used, but not very deep, and does not last long. Based on the analysis results, it is found that the research application of LoRa is becoming more and more extensive. From the transmission of a small amount of data to the monitoring and transmission of a large amount of multidimensional data, it can be reasonably inferred that the application of intelligence is still the next research hotspot, and LoRa will still be the main tool in intelligence.
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Dezhi Wang, Qingqing Zhang, and Chang Liu "Analysis of domestic LoRa application based on bibliometry", Proc. SPIE 12700, International Conference on Electronic Information Engineering and Data Processing (EIEDP 2023), 127003N (26 May 2023); https://doi.org/10.1117/12.2682515
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KEYWORDS
Analytical research

Data transmission

Internet of things

Visualization

Signal intensity

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