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Performance Analysis of a System for Vehicle Identification Using LoRa and RFID

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Green, Pervasive, and Cloud Computing (GPC 2019)

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Abstract

This paper proposes a system for vehicle identification using RFID and Low Power Wide Area Networks (LPWAN). Vehicle plates are identified with RFID tags and this information is sent to a cloud server using LoRa links. We developed a proof of concept of the proposed architecture to study the feasibility of using LoRa for the transmission of vehicle data. We analyzed the performance of the system in real urban environments with different parameters of the LoRa transmission. The results obtained shows the system may achieve reasonable performance in terms of packet error rate and message throughput. The system showed LoRa is a viable technology to be applied in this context and other applications of Intelligent Transport Systems.

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Correspondence to João H. Kleinschmidt .

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Griese, M.G., Kleinschmidt, J.H. (2019). Performance Analysis of a System for Vehicle Identification Using LoRa and RFID. In: Miani, R., Camargos, L., Zarpelão, B., Rosas, E., Pasquini, R. (eds) Green, Pervasive, and Cloud Computing. GPC 2019. Lecture Notes in Computer Science(), vol 11484. Springer, Cham. https://doi.org/10.1007/978-3-030-19223-5_9

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  • DOI: https://doi.org/10.1007/978-3-030-19223-5_9

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-19222-8

  • Online ISBN: 978-3-030-19223-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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