Abstract
The chapter devoted studying some characteristics of signal used in receiving devices by LoRa technology. The main feature of this technology relates the ability to build wireless networks for transmitting short messages over long distances under the condition of the long-life battery. Our investigation focused on the impact of interference on the functioning of the receiving set. With this purpose, we studied the basic characteristics of the received radio signal, its frequency properties, the possibilities of spreading the spectrum, encoding and recovering the transmitted information, receiving a packet of individual pulse signals and the quality of packet processing as a whole, and the effect of multipath propagation. We also proposed an approach for studying a receiver in highly populated areas with an estimate of the calculating and experimental data. To check the quality of processing the received information the studies were carried out according to the “point-to-point” and “point-gateway” schemes under the remote server. The test results follow.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
About LoRa allianceTM. https://www.lora-alliance.org/about-lora-alliance. Accessed 19 Jan 2019
Kucherov D, Berezkin A, Onikienko L (2018) Detection of signals from a LoRa system under interference conditions. Paper presented at international scientific-practical conference problems of infocommunications, science and technology, Kharkov National University of Radio Electronics, Ukraine, 9–12 Oct 2018. https://doi.org/10.1109/infocommst.2018.8632135
Noreen U, Bounceur A, Clavier L (2017) A study of LoRa low power and wide area network technology. Paper presented at the international conference on advanced technologies for signal and image processing (ATSIP), Fez, Morocco, 22–24 May 2017, pp 1–7. https://doi.org/10.1109/atsip.2017.8075570
Varsier N, Schwoerer J (2017) Capacity limits of LoRaWAN technology for smart metering applications. Paper presented at the IEEE international conference on communications (ICC), Paris, France, 21–25 May 2017, pp 1–6. https://doi.org/10.1109/icc.2017.7996383
Bankov D, Khorov E, Lyakhov A (2017) Mathematical model of LoRaWAN channel access with capture effect. Paper presented at the IEEE 28th annual international symposium on personal, indoor, and mobile radio communications (PIMRC), Montreal, QC, Canada, 8–13 Oct 2017, pp 1–5. https://doi.org/10.1109/pimrc.2017.8292748
Mikhaylov K, Petäjäjärvi J, Hänninen T (2016) Analysis of the capacity and scalability of the LoRa wide area network technology. In: 22th European wireless conference, Oulu, Finland, 18–20 May 2016
Gören H, Alataş M, Görgün O (2018) Radio frequency planning and verification for remote energy monitoring: a LoRaWAN case study. Paper presented at the 26th signal processing and communications applications conference (SIU), Izmir, Turkey, 2–5 May, 2018, pp 1–4. https://doi.org/10.1109/siu.2018.8404166
Davcev D, Mitreski K, Trajkovic S et al (2018) IoT agriculture system based on LoRaWAN. Paper presented at the 14th IEEE International workshop on factory communication systems (WFCS), 13–15 June 2018, pp 1–4. https://doi.org/10.1109/wfcs.2018.8402368
James JG, Nair S (2017) Efficient, real-time tracking of public transport, using LoRaWAN and RF transceivers. Paper presented at the TENCON 2017–2017 IEEE Region 10 Conference, Penang, Malaysia, 5–8 Nov 2017, pp 2258–2261. https://doi.org/10.1109/tencon.2017.8228237
Sanchez-Iborra R, Sanchez-Gomez J, Ballesta-Viñas J et al (2018) Performance evaluation of LoRa considering scenario conditions. Sensors 18(772):1–19. https://doi.org/10.3390/s18030772
Lavric A, Popa V (2017) A LoRaWAN: long range wide area networks study. Paper presented at the international conference on electromechanical and power systems (SIELMEN), Iasi, Romania, 11–13 Oct 2017, pp 417–420. https://doi.org/10.1109/sielmen.2017.8123360
Catherwood PA, McComb S, Little M et al (2017) Channel characterisation for wearable LoRaWAN monitors. Paper Presented at the Loughborough antennas & propagation Conference (LAPC 2017), Loughborough, UK, 13–14 Nov 2017, pp 1–4. https://doi.org/10.1049/cp.2017.0273
Adelantado F, Vilajosana X, Tuset-Peiro P et al (2017) Understanding the limits of LoRaWAN. IEEE Commun Mag 55(9):34–40. https://doi.org/10.1109/MCOM.2017.1600613
Deng T, Zhu J, Nie Z (2017) An improved LoRaWAN protocol based on adaptive duty cycle. Paper presented at the IEEE 3rd information technology and mechatronics engineering conference (ITOEC), Chongqing, China, 3–5 Oct 2017, pp 1122–1125. https://doi.org/10.1109/itoec.2017.8122529
Slabicki M, Premsankar G, Francesco MD (2018) Adaptive configuration of LoRa networks for dense IoT deployments. Paper presented at the IEEE/IFIP network operations and management symposium (NOMS), Taipei, Taiwan, 23–27 April 2018. https://doi.org/10.1109/noms.2018.8406255
Abdelfadeel KQ, Cionca V, Pesch D (2018) Fair adaptive data rate allocation and power control in LoRaWAN. Paper presented at the IEEE 19th international symposium on “a world of wireless, mobile and multimedia networks” (WoWMoM), 12–15 June 2018. https://doi.org/10.1109/wowmom.2018.8449737
Deng T, Zhu J, Nie Z (2017) An adaptive MAC protocol for SDCS system based on LoRa technology. Adv Eng Res 118. http://scholar.google.com.ua/scholar_url?url=https%3A%2F%2Fdownload.atlantis-press.com. Accessed 19 Jan 2019
Knight M, Seeber B (2016) Decoding LoRa: realizing a modern LPWAN with SDR. Paper presented at the 6th GNU radio conference, Boulder, CO, 6 Sept 2016
Kucherov D (2017) Control of computer network overload. Paper presented at the CEUR workshop proceedings, 17th international scientific and practical conference on information technologies and security (ITS-2017), Kyiv, Ukraine, vol 2067, pp 69–75
Kucherov D, Berezkin A (2017) Identification approach to determining of radio signal frequency. Paper presented at the international conference on antenna theory and techniques, Kyiv, Ukraine, 24–27 May 2017, pp 1–4. https://doi.org/10.1109/icatt.2017.7972668
Kryvinska N (2010) Converged network service architecture: a platform for integrated services delivery and interworking. Electron business series, vol 2. International Academic Publishers, Peter Lang Publishing Group
Kryvinska N (2008) An analytical approach for the modeling of real-time services over IP network. Math Comput Simul 79(4):980–990. https://doi.org/10.1016/j.matcom.2008.02.016
Kryvinska N (2004) Intelligent network analysis by closed queuing models. Telecommun Syst 27:85–98. https://doi.org/10.1023/B:TELS.0000032945.92937.8f
Kryvinska N, Zinterhof P, van Thanh D (2007) An analytical approach to the efficient real-time events/services handling in converged network environment. In: Enokido T, Barolli L, Takizawa M (eds) Network-based information systems. NBiS 2007. Lecture notes in computer science, vol 4658. Springer, Berlin
AN1200.22. (2015) LoRa™ modulation basics. Semtech Corporation, Wireless Sensing and Timing Products Division. Rev. 2, May 2015, pp 1–26. https://www.semtech.com/uploads/documents/an1200.22.pdf. Accessed 19 Jan 2019
Sklar B (2002) Digital communications fundamentals and applications, 2nd edn. Prentice Hall PTR, USA
Mann S, Haykin S (1995) The chirplet transform: physical consideration. IEEE Trans Signal Proces 43(11):2745–2761. https://doi.org/10.1109/78.482123
Bultan A (1999) A four-parameter atomic decomposition of chirplets. IEEE Trans Signal Process 47(3):731–745. https://doi.org/10.1109/78.747779
Cui J, Wong W, Mann S (2005) Time-frequency analysis of visual evoked potentials using chirplet transform. Electron Lett 41(4):217–218. https://doi.org/10.1049/el:20056712
Xu C, Wang C, Gao J (2016) Instantaneous frequency identification using adaptive linear chirplet transform and matching pursuit. Shock Vib. https://www.hindawi.com/journals/sv/2016/1762010/
Aoi M, Lepage K, Lim Y et al (2015) An approach to time-frequency analysis with ridges of the continuous chirplet transform. IEEE Trans Signal Process 63(3):699–710. https://doi.org/10.1109/TSP.2014.2365756
Wang X, Fei M, Li X (2008) Performance of chirp spread spectrum in wireless communication systems. Paper presented at the 11th IEEE Singapore international conference on communication systems (SICCS), Guangzhou, China, 19–21 Nov 2008, pp 466–469. https://doi.org/10.1109/iccs.2008.4737227
SX1276/77/78—137–1050 MHz ultra low power long range transceiver. http://www.alldatasheet.com/datasheet-pdf/pdf/501037/SEMTECH/SX1276.html. Accessed 19 Jan 2019
Lavric A, Petrariu A (2018) LoRaWAN communication protocol: the new era of IoT. Paper presented at the 14th international conference on development and application systems, Suceava, Romania, 24–26 May 2018, pp 74–77. https://doi.org/10.1109/daas.2018.8396074
Acknowledgements
Authors thank both the authorities of National Aviation University, National Academy of Science of Ukraine, Pukhov Institute for Modeling in Energy Engineering, and Central Research Institute of Weapons and Military Equipment of Ukraine’s Armed Forces for their support during the preparation of this paper.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Kucherov, D., Berezkin, A., Onikienko, L., Nakonechnyi, V. (2021). Processing Signals in the Receiving Channel for the LoRa System. In: Radivilova, T., Ageyev, D., Kryvinska, N. (eds) Data-Centric Business and Applications. Lecture Notes on Data Engineering and Communications Technologies, vol 48. Springer, Cham. https://doi.org/10.1007/978-3-030-43070-2_19
Download citation
DOI: https://doi.org/10.1007/978-3-030-43070-2_19
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-43069-6
Online ISBN: 978-3-030-43070-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)