Transfer of Multimedia Data via LoRa

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10531)


This article provides the results of the multimedia data transmission parameters research by LoRa using, in particular the results of images and voice transmission using the fragment of the model network in the Internet of Things Laboratory SPbSUT. During the series of experiments there was noticed the LoRa radio modules performance variation of different parameters (Bandwidth, Spreading Factor and Coding Rate), which have affected on the time and quality of image transmission. For image compression were used JPEG and JPEG 2000 methods, which have allowed to achieve an acceptable compression and image reconstruction while transmitting in the low-speed network. In the course of the experiment, the images were transferred from a camera mounted on a quadrocopter at distance of several kilometers. We considered such parameters as the time of data transfer, packet loss, estimation of the images quality obtained on the basis of subjective and objective methods. For voice compression, the A-law method was used, which allowed to compress the frame size by 4 times. Experiments of real-time speech transmission were conducted in different languages and evaluated by the experts. During the results analyzing there were defined the lower subjective score for Arabic, and the higher scores for English and Vietnamese. In conclusion, this article provides the results of the quantitative and qualitative dimensions evaluation and presents directions for the further research.


LoRa Internet of Things Quality of experience Images Voice 



The publication was financially supported by the Ministry of Education and Science of the Russian Federation (the Agreement number 02.a03.21.0008) and RFBR according to the research project No. 16-37-00215 mol_a “Biodriver”.


  1. 1.
    ITU-T Recommendation Y. 2060. Overview of Internet of Things, Geneva, February 2012Google Scholar
  2. 2.
    Kirichek, R., Kulik, V., Koucheryavy, A.: False clouds for Internet of Things and methods of protection. In: IEEE 18th International Conference on Advanced Communication Technology: ICACT 2016, Phoenix Park, Korea, pp. 201–205 (2016)Google Scholar
  3. 3.
    Raza, U., Kulkarni, P., Sooriyabandara, M.: Low power wide area networks: an overview. IEEE Commun. Surv. Tutor. 19, 855–873 (2017)CrossRefGoogle Scholar
  4. 4.
    Kirichek, R., Kulik, V.: Long-range data transmission on Flying Ubiquitous Sensor Networks (FUSN) by using LPWAN protocols. In: Vishnevskiy, V.M., Samouylov, K.E., Kozyrev, D.V. (eds.) DCCN 2016. CCIS, vol. 678, pp. 442–453. Springer, Cham (2016). doi: 10.1007/978-3-319-51917-3_39 CrossRefGoogle Scholar
  5. 5.
  6. 6.
    Li, L., Ren, J., Zhu, Q.: On the application of LoRa LPWAN technology in sailing monitoring system. In: 13th Annual Conference on Wireless On-demand Network Systems and Services, WONS 2017, pp. 77–80 (2017)Google Scholar
  7. 7.
    Pham, C., Rahim, A., Cousin, P.: Low-cost, long-range open IoT for smarter rural African villages. In: IEEE International Smart Cities Conference, ISC2 2016 (2016)Google Scholar
  8. 8.
    Kirichek, R.: The model of data delivery from the wireless body area network to the cloud server with the use of unmanned aerial vehicles. In: Proceedings - 30th European Conference on Modeling and Simulation, ECMS 2016, pp. 603–606 (2016)Google Scholar
  9. 9.
    Petäjäjärvi, J., Mikhaylov, K., Hämäläinen, M., Iinatti, J.: Evaluation of LoRa LPWAN technology for remote health and wellbeing monitoring. In: 10th International Symposium Medical Information and Communication Technology, ISMICT 2016 (2016)Google Scholar
  10. 10.
    Cesana, M., Redondi, A.E.C.: IoT communication technologies for smart cities. In: Angelakis, V., Tragos, E., Pöhls, H.C., Kapovits, A., Bassi, A. (eds.) Designing, Developing, and Facilitating Smart Cities, pp. 139–162. Springer, Cham (2017). doi: 10.1007/978-3-319-44924-1_8 CrossRefGoogle Scholar
  11. 11.
    Kirichek, R., Makolkina, M., Sene, J., Takhtuev, V.: Estimation quality parameters of transferring image and voice data over ZigBee in transparent mode. In: Vishnevsky, V., Kozyrev, D. (eds.) DCCN 2015. CCIS, vol. 601, pp. 260–267. Springer, Cham (2016). doi: 10.1007/978-3-319-30843-2_27 CrossRefGoogle Scholar
  12. 12.
    Pekhteryev, G., Sahinoglu, Z., Orlik, P., Bhatti, G.: Image transmission over IEEE 802.15.4 and ZigBee networks. In: IEEE International Symposium on Circuits and Systems 2005, vol. 4, pp. 3539–3542 (2005)Google Scholar
  13. 13.
    Kirichek, R., Vladyko, A., Paramonov, A., Koucheryavy, A.: Software-defined architecture for flying ubiquitous sensor networking. In: International Conference on Advanced Communication Technology, ICACT 2017, pp. 158–162 (2017)Google Scholar
  14. 14.
    Semtech White Paper. Smart Cities Transformed Using LoRa Technology, November 2016Google Scholar
  15. 15.
    SX1272/3/6/7/8: LoRa Modem Designers Guide. Semtech Co., Camarillo, AN1200.13 (2013)Google Scholar
  16. 16.
    Taubman, D., Marcellin, M.: JPEG 2000 Image Compression Fundamentals Standards and Practice. The Springer International Series in Engineering and Computer Science, vol. 642, 773 p. Springer, Boston (2002)CrossRefGoogle Scholar
  17. 17.
    ITU-T Recommendation G.711 (1998). Amd. 1, August 2009Google Scholar
  18. 18.
    Kirichek, R., Koucheryavy, A.: Internet of Things laboratory test bed. In: Zeng, Q.-A. (ed.) Wireless Communications, Networking and Applications. LNEE, vol. 348, pp. 485–494. Springer, New Delhi (2016). doi: 10.1007/978-81-322-2580-5_44 CrossRefGoogle Scholar
  19. 19.
  20. 20.
  21. 21.
    ITU-R Recommendation BT.500-13: Methodology for the subjective assessment of the quality of television pictures, Geneva, January 2012Google Scholar
  22. 22.
    ITU-T Recommendation P.910: Subjective video quality assessment methods for multimedia applications, Geneva, April 2008Google Scholar
  23. 23.
    ITU-T Recommendation P.913: Methods for the subjective assessment of video quality, audio quality and audiovisual quality of Internet video and distribution quality television in any environment, January 2014Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.State University of TelecommunicationSt. PetersburgRussian Federation
  2. 2.Peoples’ Friendship University of Russia (RUDN University)MoscowRussian Federation

Personalised recommendations