Using LoRaWAN smart city infrastructure as backup network for Industry 4.0 enabled vehicles

  • Paolo Ferrari UniBS
  • Emiliano Sisinni UniBS
  • Diego Fernandes Carvalho UniBS
  • Gabriel Signoretti UFRN
  • Marianne Silva UFS
  • Ivanovitch Silva UFRN
  • Diego Silva UFRN

Resumo


Intelligent vehicles are the very next future of the automotive sector, which is renewing itself following Industry 4.0 paradigms. Today, car manufacturers are rapidly increasing the number of vehicles that continuously transmit data to the Internet, in order to enable the virtuous feedback paths foreseen by Industry 4.0. Such data are used to improve production (and products) during the entire lifetime of plants (and cars, also). A data link between on board devices and Internet must be created. Currently, the OBD (On Board Diagnostic) interface is available in the majority of cars and trucks. Some Edge devices with OBD and 3G/4G modems have been created, enabling easy Internet connection. However, congestion situation, as well as temporary outages, may create significant holes in the 3G/4G coverage. Recently, the transformation of city into Smart City is begun. An impressive number of new sensors are deployed in urban area. New wireless technologies are on the rise and, among them, LoRaWAN is the most used. If a vehicle is considered like a mobile sensor, then a viable option to fill 3G/4G gaps is the use of LoRaWAN infrastructure inside a Smart City. This paper deals with the creation of the prototype of an embedded platform which includes both OBD-II interface, 3G/4G connectivity and also LoRaWAN for backup situation. Considering the Smart City use cases, the application constrains regarding intelligent vehicles are discussed in order highlight design directions for the correct integration with the LoRaWAN infrastructure.

Referências

C. Benevolo, R. P. Dameri, and B. D’Auria, “Smart mobility in smart city,” in Empowering Organizations, pp. 13–28, Springer, 2016.

R. Sugayama and E. Negrelli, “Connected vehicle on the way of industry 4.0,” Available online: pdf. blucher. com. br. s3-sa-east-1. amazonaws. com/engineeringproceedings/simea2016/PAP16. pdf (accessed on 20 June 2018), 2015.

W.-C. Wu and H.-T. Liaw, “The next generation of internet of things: Internet of vehicles,” in International Conference on Frontier Computing, pp. 278–282, Springer, 2017.

T. T. Dandala, V. Krishnamurthy, and R. Alwan, “Internet of vehicles (iov) for traffic management,” in 2017 International Conference on Computer, Communication and Signal Processing (ICCCSP), pp. 1–4, Jan 2017.

A. Zanella, N. Bui, A. Castellani, L. Vangelista, and M. Zorzi, “Internet of things for smart cities,” IEEE Internet of Things journal, vol. 1, no. 1, pp. 22–32, 2014.

M. Da Silva, E. Vieira, I. Silva, D. Silva, P. Ferrari, S. Rinaldi, and D. Carvalho, “A customer feedback platform for vehicle manufacturing in industry 4.0,” vol. 2018-June, pp. 1249–1254, 2018.

M. Silva, E. Vieira, G. Signoretti, I. Silva, D. Silva, and P. Ferrari, “A customer feedback platform for vehicle manufacturing compliant with industry 4.0 vision,” Sensors, vol. 18, no. 10, 2018.

D. Bankov, E. Khorov, and A. Lyakhov, “Mathematical model of lorawan channel access,” in 2017 IEEE 18th International Symposium on A World of Wireless, Mobile and Multimedia Networks (WoWMoM), pp. 1–3, IEEE, 2017.

U. Raza, P. Kulkarni, and M. Sooriyabandara, “Low power wide area networks: An overview,” IEEE Communications Surveys & Tutorials, vol. 19, no. 2, pp. 855–873, 2017.

M. Bauer, P. Bosch, N. Khrais, L. G. Samuel, and P. Schefczik, “The umts base station router,” Bell Labs Technical Journal, vol. 11, no. 4, pp. 93–111, 2007.

K. Mikhaylov, J. Petäjäjärvi, and A. Pouttu, “Effect of downlink traffic on performance of lorawan lpwa networks: Empirical study,” in 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), pp. 1–6, IEEE, 2018.

“LoRaWAN® Specification v1.1 — LoRa Alliance®.”

R. Malekian, N. R. Moloisane, L. Nair, B. Maharaj, and U. A. Chude-Okonkwo, “Design and implementation of a wireless obd ii fleet management system,” arXiv preprint arXiv:1701.02160, 2017.

A. Pieroni, N. Scarpato, and M. Brilli, “Industry 4.0 revolution in autonomous and connected vehicle a now-conventional approach to manage big data.,” Journal of Theoretical & Applied Information Technology, vol. 96, no. 1, 2018.

M. Silva, G. Signoretti, J. Oliveira, I. Silva, and D. G. Costa, “A crowdsensing platform for monitoring of vehicular emissions: A smart city perspective,” Future Internet, vol. 11, no. 1, 2019.

S. Rinaldi, M. Pasetti, E. Sisinni, F. Bonafini, P. Ferrari, M. Rizzi, and A. Flammini, “On the mobile communication requirements for the demand-side management of electric vehicles,” Energies, vol. 11, no. 5, p. 1220, 2018.

G. Signoretti, M. Silva, A. Dias, I. Silva, D. Silva, and P. Ferrari, “Performance evaluation of an edge obd-ii device for industry 4.0,” in 2019 II Workshop on Metrology for Industry 4.0 and IoT (MetroInd4. 0&IoT), pp. 432–437, IEEE, 2019.

F. Bonafini, D. F. Carvalho, A. Depari, P. Ferrari, A. Flammini, M. Pasetti, S. Rinaldi, and E. Sisinni, “Evaluating indoor and outdoor localization services for lorawan in smart city applications,” in 2019 II Workshop on Metrology for Industry 4.0 and IoT (MetroInd4. 0&IoT), pp. 300–305, IEEE, 2019.

D. F. Carvalho, A. Depari, P. Ferrari, A. Flammini, S. Rinaldi, and E. Sisinni, “On the feasibility of mobile sensing and tracking applications based on lpwan,” in 2018 IEEE Sensors Applications Symposium (SAS), pp. 1–6, IEEE, 2018.
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19/11/2019
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FERRARI, Paolo; SISINNI, Emiliano; FERNANDES CARVALHO, Diego; SIGNORETTI, Gabriel; SILVA, Marianne; SILVA, Ivanovitch; SILVA, Diego. Using LoRaWAN smart city infrastructure as backup network for Industry 4.0 enabled vehicles. In: TRABALHOS EM ANDAMENTO - SIMPÓSIO BRASILEIRO DE ENGENHARIA DE SISTEMAS COMPUTACIONAIS (SBESC), 9. , 2019, Natal. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2019 . p. 119-124. ISSN 2763-9002. DOI: https://doi.org/10.5753/sbesc_estendido.2019.8646.