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Known and Unknown Facts of LoRa: Experiences from a Large-scale Measurement Study

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Published:21 February 2019Publication History
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Abstract

Long Range (LoRa) is a Low-power Wide-area Network technology designed for the Internet of Things. In recent years, it has gained significant momentum among industrial and research communities. Patented by Semtech, LoRa makes use of chirp spread spectrum modulation to deliver data with promises of long battery life, far-reaching communication distances, and a high node density at the cost of data rate. In this article, we conduct a series of experiments to verify the claims made by Semtech on LoRa technology. Our results show that LoRa is capable of communicating over 10km under line-of-sight environments. However, under non-line-of-sight environments, LoRa’s performance is severely affected by obstructions such as buildings and vegetations. Moreover, the promise of prolonged battery life requires extreme tuning of parameters. Last, a LoRa gateway supports up to 6,000 nodes with PRR requirement of >70%. This study also explores the relationship between LoRa transmission parameters and proposes an algorithm to determine optimal settings in terms of coverage and power consumption under non-line-of-sight environments. It further investigates the impact of LoRa Wide-area Networks on energy consumption and network capacity along with implementation of a LoRa medium access mechanism and possible gains brought forth by implementing such a mechanism.

References

  1. LTE Release 13. 2018. Release 13. Retrieved from http://www.3gpp.org/release-13.Google ScholarGoogle Scholar
  2. Ferran Adelantado, Xavier Vilajosana, Pere Tuset-Peiro, Borja Martinez, Joan Melia-Segui, and Thomas Watteyne. 2017. Understanding the limits of LoRaWAN. IEEE Commun. Mag. 55, 9 (2017), 34--40.Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Wi-Fi Alliance. 2018. Wi-Fi HaLow | Wi-Fi Alliance. Retrieved from https://www.wi-fi.org/discover-wi-fi/wi-fi-halow.Google ScholarGoogle Scholar
  4. Aloÿs Augustin, Jiazi Yi, Thomas Clausen, and William Mark Townsley. 2016. A study of LoRa: Long-range and low-power networks for the internet of things. Sensors 16, 9 (2016), 1466.Google ScholarGoogle ScholarCross RefCross Ref
  5. Eyuel D. Ayele, Chiel Hakkenberg, Jan Pieter Meijers, Kyle Zhang, Nirvana Meratnia, and Paul J. M. Havinga. 2017. Performance analysis of LoRa radio for an indoor IOT applications. In Proceedings of the IEEE International Conference on Internet of Things for the Global Community (IoTGC’17).Google ScholarGoogle Scholar
  6. Dmitry Bankov, Evgeny Khorov, and Andrey Lyakhov. 2016. On the limits of LoRaWAN channel access. In Proceedings of the International Conference on Engineering and Telecommunication (EnT’16). 29--30.Google ScholarGoogle ScholarCross RefCross Ref
  7. Steve Battle and Benedict Gaster. 2017. LoRaWAN Bristol. In Proceedings of the 21st International Database Engineering and Applications Symposium. ACM, 287--290. Google ScholarGoogle ScholarDigital LibraryDigital Library
  8. Norbert Blenn and Fernando Kuipers. 2017. LoRaWAN in the wild: Measurements from the things network. arXiv preprint arXiv:1706.03086.Google ScholarGoogle Scholar
  9. Taoufik Bouguera, Jean-François Diouris, Jean-Jacques Chaillout, Randa Jaouadi, and Guillaume Andrieux. 2018. Energy consumption model for sensor nodes based on LoRa and LoRaWAN. Sensors 18, 7 (2018).Google ScholarGoogle Scholar
  10. Michael Coracin and Matthieu Leurent. 2017. GitHub—Lora-net/lora_gateway: Driver/HAL to build a gateway using a concentrator board based on Semtech SX1301 multi-channel modem and SX1257/SX1255 RF transceivers. Retrieved from https://github.com/Lora-net/lora_gateway.Google ScholarGoogle Scholar
  11. CRC Computation. 2013. Implementing Data Whitening and CRC Calculation in Software on SX12XX Devices. Rev. 1. https://www.semtech.com/uploads/documents/AN1200.18_STD.pdf.Google ScholarGoogle Scholar
  12. Jonathan de Carvalho Silva, Joel J. P. C. Rodrigues, Antonio M. Alberti, Petar Solic, and Andre L. L. Aquino. 2017. LoRaWAN-A low-power WAN protocol for internet of things: A review and opportunities. In Proceedings of the 2nd International Multidisciplinary Conference on Computer and Energy Science (SpliTech’17). IEEE, 1--6.Google ScholarGoogle Scholar
  13. Dalibor Dobrilović, Milan Malić, Dušan Malić, and Srđan Sladojević. 2017. Analyses and optimization of Lee propagation model for LoRa 868 MHz network deployments in urban areas. J. Eng. Manage. Compet. 7, 1 (2017), 55--62.Google ScholarGoogle Scholar
  14. Wan Du, Jansen Christian Liando, Huanle Zhang, and Mo Li. 2017. Pando: Fountain-enabled fast data dissemination with constructive interference. IEEE/ACM Trans. Netw. 25, 2 (2017), 820--833. Google ScholarGoogle ScholarDigital LibraryDigital Library
  15. Rashad Eletreby, Diana Zhang, Swarun Kumar, and Osman Yağan. 2017. Empowering low-power wide-area networks in urban settings. In Proceedings of the Conference of the ACM Special Interest Group on Data Communication. ACM, 309--321. Google ScholarGoogle ScholarDigital LibraryDigital Library
  16. Eric Gourlaouen, Johan Stokking, and Hylke Visser. 2017. GitHub—TheThingsNetwork/packet_forwarder: Packet forwarder for Linux-based gateways. Retrieved from https://github.com/TheThingsNetwork/packet_forwarder.Google ScholarGoogle Scholar
  17. Claire Goursaud and Jean-Marie Gorce. 2015. Dedicated networks for IoT: PHY/MAC state of the art and challenges. EAI Endorsed Transactions on Internet of Things.Google ScholarGoogle Scholar
  18. Frank Gray. 1946. Pulse code communication. U.S. Patent US2632058A.Google ScholarGoogle Scholar
  19. C. Gu, R. Tan, X. Lou, and D. Niyato. 2018. One-hop out-of-band control planes for low-power multi-hop wireless networks. In Proceedings of the IEEE Conference on Computer Communications (INFOCOM’18). 1187--1195.Google ScholarGoogle Scholar
  20. Jetmir Haxhibeqiri, Abdulkadir Karaagac, Floris Van den Abeele, Wout Joseph, Ingrid Moerman, and Jeroen Hoebeke. 2017. LoRa indoor coverage and performance in an industrial environment: Case study. In Proceedings of the 22nd IEEE International Conference on Emerging Technologies and Factory Automation (ETFA’17). IEEE, 1--8.Google ScholarGoogle ScholarCross RefCross Ref
  21. Jetmir Haxhibeqiri, Floris Van den Abeele, Ingrid Moerman, and Jeroen Hoebeke. 2017. Lora scalability: A simulation model based on interference measurements. Sensors 17, 6 (2017), 1193.Google ScholarGoogle ScholarCross RefCross Ref
  22. C. Huang, T. Teng, and D. Sun. 2016. Low-speed moving target detection of single frame image based on Doppler shift estimation. In Proceedings of the IEEE/OES China Ocean Acoustics (COA’16). 1--4.Google ScholarGoogle Scholar
  23. IC880a. 2015. WiMOD iC880A. Ver. 0.5. https://shop.imst.de/media/pdf/22/67/a8/iC880A_Datasheet_V0_50.pdf.Google ScholarGoogle Scholar
  24. Inair9b. {n.d.}. inAir9 Datasheet and Schematics. http://modtronix.com/prod/imod/inair9/inair9_r1.pdf.Google ScholarGoogle Scholar
  25. Gabor Kecskemeti, Giuliano Casale, Devki Nandan Jha, Justin Lyon, and Rajiv Ranjan. 2017. Modelling and simulation challenges in internet of things. IEEE Cloud Comput. 4, 1 (2017), 62--69.Google ScholarGoogle ScholarCross RefCross Ref
  26. Oratile Khutsoane, Bassey Isong, and Adnan M. Abu-Mahfouz. 2017. IoT devices and applications based on LoRa/LoRaWAN. In Proceedings of the 43rd Annual Conference of the IEEE Industrial Electronics Society (IECON’17). IEEE, 6107--6112.Google ScholarGoogle Scholar
  27. Alexandru Lavric and Adrian Ioan Petrariu. 2018. LoRaWAN communication protocol: The new era of IoT. In Proceedings of the International Conference on Development and Application Systems (DAS’18). IEEE.Google ScholarGoogle ScholarCross RefCross Ref
  28. Alexandru Lavric and Valentin Popa. 2017. A LoRaWAN: Long-range wide-area networks study. In Proceedings of the International Conference on Electromechanical and Power Systems (SIELMEN’17). IEEE, 417--420.Google ScholarGoogle ScholarCross RefCross Ref
  29. Lingling Li, Jiuchun Ren, and Qian Zhu. 2017. On the application of LoRa LPWAN technology in sailing monitoring system. In Proceedings of the 13th Annual Conference on Wireless On-demand Network Systems and Services (WONS’17). IEEE, 77--80.Google ScholarGoogle ScholarCross RefCross Ref
  30. Alexander Liljegren and Robin Franksson. 2018. Measuring a LoRa Network: Performance, Possibilities and Limitations. In Proceedings of the 18th International Conference, NEW2AN 2018, and 11th Conference (ruSMART'18), St. Petersburg, Russia. 116--128.Google ScholarGoogle Scholar
  31. LoRaWAN. 2017. LoRaWAN 1.1 Specification. Ver. 1.1. https://lora-alliance.org/sites/default/files/2018-04/lorawantm_specification_-v1.1.pdf.Google ScholarGoogle Scholar
  32. Steve Mann and Simon Haykin. 1991. The chirplet transform: A generalization of Gabor’s logon transform. In Vision Interface, Vol. 91. 205--212.Google ScholarGoogle Scholar
  33. Knight Mathew and Seeber Balint. 2016. Decoding LoRa: Realizing a modern LPWAN with SDR. In Proceedings of the GNU Radio Conference. GNU Radio.Google ScholarGoogle Scholar
  34. Modulation. 2015. LoRa Modulation Basics. Rev. 2. https://www.semtech.com/uploads/documents/an1200.22.pdf.Google ScholarGoogle Scholar
  35. Pierre Neumann, Julien Montavont, and Thomas Noël. 2016. Indoor deployment of low-power wide-area networks (LPWAN): A LoRaWAN case study. In Proceedings of the IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob’16). IEEE, 1--8.Google ScholarGoogle ScholarCross RefCross Ref
  36. Umber Noreen, Ahcène Bounceur, and Laurent Clavier. 2017. A study of LoRa low-power and wide-area network technology. In Proceedings of the International Conference on Advanced Technologies for Signal and Image Processing (ATSIP’17). IEEE, 1--6.Google ScholarGoogle ScholarCross RefCross Ref
  37. Rúben Oliveira, Lucas Guardalben, and Susana Sargento. 2017. Long range communications in urban and rural environments. In Proceedings of the IEEE Symposium on Computers and Communications (ISCC’17). IEEE, 810--817.Google ScholarGoogle ScholarCross RefCross Ref
  38. I. Omelchuk, I. Prokopenko, and I. Chyrka. 2016. Multichannel target speed estimation by a colocated Doppler-pulse MIMO radar. In Proceedings of the International Conference Radio Electronics Info Communications (UkrMiCo’16). 1--5.Google ScholarGoogle Scholar
  39. Dhaval Patel and Myounggyu Won. 2017. Experimental study on low-power wide-area networks (LPWAN) for mobile internet of things. In Proceedings of the IEEE 85th Vehicular Technology Conference (VTC’17). IEEE, 1--5.Google ScholarGoogle ScholarCross RefCross Ref
  40. Yao Peng, Longfei Shangguan, Yue Hu, Yujie Qian, Xianshang Lin, Xiaojiang Chen, Dingyi Fang, and Kyle Jamieson. 2018. PLoRa: A passive long-range data network from ambient LoRa transmissions. In Proceedings of the Conference of the ACM Special Interest Group on Data Communication. ACM, 147--160. Google ScholarGoogle ScholarDigital LibraryDigital Library
  41. Juha Petäjäjärvi, Konstantin Mikhaylov, Marko Pettissalo, Janne Janhunen, and Jari Iinatti. 2017. Performance of a low-power wide-area network based on LoRa technology: Doppler robustness, scalability, and coverage. Int. J. Distrib. Sensor Netw. 13, 3 (2017), 1550147717699412.Google ScholarGoogle ScholarCross RefCross Ref
  42. Juha Petäjäjärvi, Konstantin Mikhaylov, Antti Roivainen, Tuomo Hanninen, and Marko Pettissalo. 2015. On the coverage of LPWANs: Range evaluation and channel attenuation model for LoRa technology. In Proceedings of the 14th International Conference on ITS Telecommunications (ITST’15). IEEE, 55--59.Google ScholarGoogle ScholarCross RefCross Ref
  43. Juha Petäjäjärvi, Konstantin Mikhaylov, Rumana Yasmin, Matti Hämäläinen, and Jari Iinatti. 2017. Evaluation of LoRa LPWAN technology for indoor remote health and wellbeing monitoring. Int. J. Wireless Info. Netw. 24, 2 (2017), 153--165.Google ScholarGoogle ScholarCross RefCross Ref
  44. Tara Petrić, Mathieu Goessens, Loutfi Nuaymi, Laurent Toutain, and Alexander Pelov. 2016. Measurements, performance and analysis of LoRa FABIAN, a real-world implementation of LPWAN. In Proceedings of the IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC’16). IEEE, 1--7.Google ScholarGoogle ScholarDigital LibraryDigital Library
  45. Congduc Pham. 2018. Investigating and experimenting CSMA channel access mechanisms for LoRa IoT networks. In Proceedings of the IEEE Wireless Communications and Networking Conference (WCNC’18). IEEE, 1--6.Google ScholarGoogle ScholarCross RefCross Ref
  46. Power monitor. 2014. Mobile Device Power Monitor Manual. Rev. 1.14. http://msoon.github.io/powermonitor/PowerTool/doc/LVPM%20Manual.pdf.Google ScholarGoogle Scholar
  47. Brecht Reynders, Wannes Meert, and Sofie Pollin. 2017. Power and spreading factor control in low-power wide-area networks. In Proceedings of the IEEE International Conference on Communications (ICC’17). IEEE, 1--6.Google ScholarGoogle ScholarCross RefCross Ref
  48. Pieter Robyns, Peter Quax, Wim Lamotte, and William Thenaers. 2018. A Multi-channel software decoder for the LoRa modulation scheme. In Proceedings of the 3rd International Conference on Internet of Things, Big Data and Security—Volume 1 (IoTBDS’18). INSTICC, SciTePress, 41--51.Google ScholarGoogle ScholarCross RefCross Ref
  49. Tom Rondeau, Josh Blum, Johnathan Corgan, Eric Blossom, and Sebastian Koslowski. {n.d.}. GitHub-gnuradio/gnuradio: GNU Radio. Retrieved from https://github.com/gnuradio/gnuradio.Google ScholarGoogle Scholar
  50. Olivier Bernard André Seller. 2017. Wireless communication method. U.S. Patent 9,647,718.Google ScholarGoogle Scholar
  51. Olivier Bernard André Seller and Nicolas Sornin. 2016. Low power long range transmitter. U.S. Patent 9,252,834.Google ScholarGoogle Scholar
  52. Semtech. 2012. Semtech Acquires Wireless Long Range IP Provider Cycleo | Semtech Corporation. Retrieved from http://investors.semtech.com/releasedetail.cfm?ReleaseID=655335.Google ScholarGoogle Scholar
  53. Longfei Shangguan, Zheng Yang, Alex X. Liu, Zimu Zhou, and Yunhao Liu. 2017. STPP: Spatial-temporal phase profiling-based method for relative RFID tag localization. IEEE/ACM Trans. Netw. 25, 1 (2017), 596--609. Google ScholarGoogle ScholarDigital LibraryDigital Library
  54. Sigfox. 2018. Sigfox—The Global Communications Service Provider for the Internet of Things (IoT). Retrieved from https://www.sigfox.com/.Google ScholarGoogle Scholar
  55. Rashmi Sharan Sinha, Yiqiao Wei, and Seung-Hoon Hwang. 2017. A survey on LPWA technology: LoRa and NB-IoT. ICT Express 3, 1 (2017), 14--21.Google ScholarGoogle ScholarCross RefCross Ref
  56. Andreas Springer, Mario Huemer, Leonhard Reindl, Clemens C. W. Ruppel, Alfred Pohl, Franz Seifert, Wolfgang Gugler, and Robert Weigel. 1998. A robust ultra-broad-band wireless communication system using SAW chirped delay lines. IEEE Trans. Microwave Theory Tech. 46, 12 (1998), 2213--2219.Google ScholarGoogle ScholarCross RefCross Ref
  57. SX1261. 2017. SX1261/2 Long Range, Low Power, sub-GHz RF Transceiver. Rev. 1.1. https://www.semtech.com/uploads/documents/DS_SX1261-2_V1.1.pdf.Google ScholarGoogle Scholar
  58. SX1276. 2016. SX1276/77/78/79—137 MHz to 1020 MHz Low Power Long Range Transceiver. Rev. 5. https://www.semtech.com/uploads/documents/DS_SX1276-7-8-9_W_APP_V5.pdf.Google ScholarGoogle Scholar
  59. SX1301. 2017. SX1301 Datasheet. Ver. 2.3. https://www.semtech.com/uploads/documents/sx1301.pdf.Google ScholarGoogle Scholar
  60. Vamsi Talla, Mehrdad Hessar, Bryce Kellogg, Ali Najafi, Joshua R. Smith, and Shyamnath Gollakota. 2017. LoRa backscatter: Enabling the vision of ubiquitous connectivity. Proc. ACM Interact. Mobile Wear. Ubiq. Tech. 1, 3 (2017), 105. Google ScholarGoogle ScholarDigital LibraryDigital Library
  61. USRP N210. {n.d.}. USRP N200/N210 Networked Series. https://www.ettus.com/content/files/Ettus_N200-210_DS_Flyer_HR_2.pdf.Google ScholarGoogle Scholar
  62. Nuttakit Vatcharatiansakul, Panwit Tuwanut, and Chotipat Pornavalai. 2017. Experimental performance evaluation of LoRaWAN: A case study in Bangkok. In Proceedings of the 14th International Joint Conference on Computer Science and Software Engineering (JCSSE’17). IEEE, 1--4.Google ScholarGoogle ScholarCross RefCross Ref
  63. Benny Vejlgaard, Mads Lauridsen, Huan Nguyen, István Z. Kovács, Preben Mogensen, and Mads Sorensen. 2017. Coverage and capacity analysis of sigfox, LoRa, gprs, and nb-iot. In Proceedings of the IEEE 85th Vehicular Technology Conference (VTC’17). 4--7.Google ScholarGoogle ScholarCross RefCross Ref
  64. Weightless. 2018. Weightless—Setting the Standard for IoT. Retrieved from http://www.weightless.org/.Google ScholarGoogle Scholar
  65. Peng Zhang and Hao Liu. 2006. An ultra-wide band system with chirp spread spectrum transmission technique. In Proceedings of the 6th International Conference on ITS Telecommunications Proceedings. IEEE, 294--297.Google ScholarGoogle ScholarCross RefCross Ref

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  1. Known and Unknown Facts of LoRa: Experiences from a Large-scale Measurement Study

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          Mohammad Sadegh Kayhani Pirdehi

          Proposal and critique are two steps in the evolution of scientific theories and ideas: an idea is founded in a proposal and advanced via critiques. In the Internet of Things (IOT), equilibrium among power consumption, coverage, and coexistence is key to performance, for example, satisfactory data rates. The paradigm shift that is long range (LoRa) technology amends the IoT by providing scalability in low-power wide-area networks (LPWANs). In this paper, the authors criticize, examine, and evaluate LoRa. Factors like configuration, medium access control (MAC) behaviors, and physical layer (PHY) efficiency are discussed in the context of system performance, reliability, and robustness. After a brief introduction to the paper's objectives, a comprehensive discussion of the LoRa modulation scheme and key technical parameters is provided. Section 3, "Promises of LoRa," practically evaluates the featured specifications of LoRa. Section 4, "Beyond LoRa," proposes potential improvements and optimizations to the current LoRa system. The paper introduces chirp spread spectrum (CSS) for LoRa modulation, and spreading factor (SF), frequency bandwidth (BW), and channel and transmission power (TX Pow) are counted as the key parameters of its configuration. Communication distance, lifetime of nodes, and multiple access are used to evaluate LoRa's operational performance. Communication distance is highly dependent on SF, BW, TX Pow, and code rate (CR). Moreover, no line of sight due to crowded urban areas severely degrades LoRa coverage, and its transmission is considerably impacted by high-rise buildings. With regards to energy utilization, microcontroller and transceiver operations are studied to estimate the lifetime of LoRa nodes. Prediction mechanisms are identified for node lifetime and energy consumption. Emphasizing the superiority of concurrent communication in a single LoRa channel, the paper details LoRa's multiple access policy according to its standard gateway, IMST IC880A, and explores the role of spreading factors. The last section includes experiments for evaluating the operational features of LoRa and proposes an optimized parameter setting algorithm. The authors discuss the LoRaWAN medium access control (MAC) mechanism and concurrent reception capacity, test different carrier sense multiple access (CSMA) policies, and review LoRa PHY. A valuable exploratory theme can be recognized in the paper, and the authors precisely dissect the LoRa technology. However, it is more of a technical report than a scientific paper. Divided into many papers, with tangible proposals and contributions, the work would be more accessible.

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            cover image ACM Transactions on Sensor Networks
            ACM Transactions on Sensor Networks  Volume 15, Issue 2
            May 2019
            339 pages
            ISSN:1550-4859
            EISSN:1550-4867
            DOI:10.1145/3311822
            Issue’s Table of Contents

            Copyright © 2019 ACM

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            Publication History

            • Published: 21 February 2019
            • Accepted: 1 November 2018
            • Revised: 1 October 2018
            • Received: 1 August 2018
            Published in tosn Volume 15, Issue 2

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