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Performance Evaluation of LoRaWAN for Mission-Critical IoT Networks

  • Ansa Iftikhar AhmadEmail author
  • Biplob Ray
  • Morshed Chowdhury
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 1113)

Abstract

With the evolution of wireless communication in Internet of Things (IoT) networks, Low Power Wide Area Network (LPWAN) has attracted a lot of attention due to its low cost and low power usages. Some of the LPWAN offerings are mainly proprietary but Long-Range Wide Area Network (LoRaWAN) is an open standard communication protocol (ALOHA-based) for a network using the Long Range (LoRa) in the physical layer. Due to its bi-directional communication and Adaptive Data Rate (ADR) capability, the LoRaWAN gateways are adopted in various IoT networks, like smart city, smart farming, worldwide. However, for wider adoption of LoRaWAN in mission-critical applications, it must be tested for scalability and reliability in various practical scenarios to reduce adverse impact in the system. This paper has conducted an evaluation of scalability and reliability of LoRaWAN using three practical scenarios of IoT systems. The evaluation has considered throughput performance, spreading factor statistics, gateway coverage assessment, and success probability performance of the protocol to reveal the performance of the protocol. The evaluation result shows that LoRaWAN networks are decidedly scalable supporting hundreds or thousands of end devices; however, on the other hand, there is an impression where scalability could be inversely proportional to performance only with an increased number of nodes and not gateways, thus requires a solution at the nodes. Our evaluated result can be very useful not only for designing the LoRaWAN based IoT network but also for improving LoRaWAN data transmission techniques for more reliable data transfer between sensor nodes and gateway.

Keywords

LoRaWAN Reliability Scalability 

References

  1. 1.
    Ray, B., Chowdhury, M., Abawajy, J.: PUF-based secure checker protocol for networked RFID systems. In: 2014 IEEE Conference on Open Systems (ICOS), pp. 78–83. IEEE Computer Society Conference Publishing Services, Malaysia (2014)Google Scholar
  2. 2.
    Ray, B., Chowdhury, M., Abawajy, J.: Secure object tracking protocol for networked RFID systems. In: 16th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2015), pp. 1–7. IEEE Computer Society, Japan (2015)Google Scholar
  3. 3.
    Raza, U., Kulkarni, P., Sooriyabandara, M.: Low power wide area networks: an overview. IEEE Commun. Surv. Tutor. 19(2), 855–873 (2017)CrossRefGoogle Scholar
  4. 4.
    The Things Industries (2019). https://www.thethingsnetwork.org/
  5. 5.
    Reynders, B., Wang, Q., Tuset-Peiro, P., Vilajosana, X., Pollin, S.: Improving reliability and scalability of lorawans through lightweight scheduling. IEEE Internet Things J. 5(3), 1830–1842 (2018)CrossRefGoogle Scholar
  6. 6.
    Tiurlikova, A., Stepanov, N., Mikhaylov, K.: Method of assigning spreading factor to improve the scalability of the LoRaWan wide area network. In: 2018 10th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), pp. 1–4. IEEE (2018)Google Scholar
  7. 7.
    Labs, L.: A comprehensive look at low power, wide area networks for internet of things engineers and decision makers. White Paper (2016). http://info.linklabs.com/lpwan-1. Accessed 15 July 2017
  8. 8.
    Yousuf, A.M., Rochester, E.M., Ghaderi, M.: A low-cost lorawan testbed for iot: implementation and measurements. In: 2018 IEEE 4th World Forum on Internet of Things (WF-IoT), pp. 361–366. IEEE (2018)Google Scholar
  9. 9.
    Bor, M., Vidler, J., Roedig, U.: LoRa for the Internet of Things. In: Proceedings of ACM EWSN, Graz, Austria, pp. 361–366 (2016)Google Scholar
  10. 10.
    Georgiou, O., Raza, U.: Low power wide area network analysis: can LoRa scale? IEEE Wirel. Commun. Lett. 6(2), 162–165 (2017)CrossRefGoogle Scholar
  11. 11.
    Mikhaylov, K., Petajajarvi, J., Janhunen, J.: On LoRaWAN scalability: empirical evaluation of susceptibility to inter-network interference. In: Proceedings of IEEE EuCNC, Oulu, Finland, pp. 1–6 (2017)Google Scholar
  12. 12.
    Haxhibeqiri, J., Van den Abeele, F., Moerman, I., Hoebeke, J.: LoRa scalability: a simulation model based on interference measurements. Sensors 17(6), 1193 (2017)CrossRefGoogle Scholar
  13. 13.
    Reynders, B., Meert, W., Pollin, S.: Range and coexistence analysis of long range unlicensed communication. In: Proceedings of IEEE ICT, Thessaloniki, Greece, pp. 1–6 (2016)Google Scholar
  14. 14.
    Pop, A.-I., Raza, U., Kulkarni, P., Sooriyabandara, M.: Does bidirectional traffic do more harm than good in lorawan based LPWA networks?. In: Proceedings of IEEE GLOBECOM, Singapore, pp. 1–6 (2017)Google Scholar
  15. 15.
    Reynders, B., Meert, W., Pollin, S.: Power and spreading factor control in low power wide area networks. In: Proceedings of IEEE ICC, Paris, France, pp. 1–6 (2017)Google Scholar
  16. 16.
    Adelantado, F., et al.: Understanding the limits of LoRaWan. IEEE Commun. Mag. 55(9), 34–40 (2017)CrossRefGoogle Scholar
  17. 17.
    Tuset-Peiro, P., Vazquez-Gallego, F., Alonso-Zarate, J., Alonso, L., Vilajosana, X.: LPDQ: a self-scheduled TDMA MAC protocol for onehop dynamic low-power wireless networks. Pervasive Mobile Comput. 20, 84–99 (2015)CrossRefGoogle Scholar
  18. 18.
    Zhang, K., Marchiori, A.: Crowdsourcing low-power wide-area IoT networks. In: Proceedings of IEEE International Conference on Pervasive Computing and Communications (PerCom), Kailua-Kona, HI, USA, pp. 41–49 (2017)Google Scholar
  19. 19.
    Weightless-SIG: Neul’s Weightless-N (2015). http://www.weightless.org
  20. 20.
    Ingenu (2017). http://ingenu.com
  21. 21.
    LoRaWAN: The Things Network. https://www.thethingsnetwork.org/docs/lorawan/. Accessed 27 Apr 2019
  22. 22.
    Neumann, P., Montavont, J., Noël, T.: Indoor deployment of low-power wide area networks (LPWAN): a LoRaWAN case study. In: 2016 IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), pp. 1–8. IEEE (2016)Google Scholar
  23. 23.
  24. 24.
    Reynders, B., Wang, Q., Pollin, S.: A LoRaWAN module for ns-3 (2018)Google Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Ansa Iftikhar Ahmad
    • 1
    Email author
  • Biplob Ray
    • 2
  • Morshed Chowdhury
    • 1
  1. 1.Deakin University Centre for Cyber Security Research and InnovationDeakin University-GeelongGeelongAustralia
  2. 2.School of Engineering and Technology, Centre for Intelligent Systems (CIS)Central Queensland UniversityRockhamptonAustralia

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