Skip to main content

A Flexible and Scalable Localization System for Off-the-Shelf LoRa Devices

  • Conference paper
  • First Online:
IoT as a Service (IoTaaS 2020)

Abstract

Location Based Service is the key for most of IoT applications, and LoRa-based localization has attracted increasing research interests. The resolution of timestamp provided by LoRa gateway is still the determining factor for LoRa-based localization. Accurate localization is supported well with highly customized LoRa devices, meanwhile the current off-the-shelf LoRa devices have only microsecond accuracy. However, it’s impracticable to use many hardware customized LoRa devices in real deployments, in which cost control must be taken into consideration. Therefore a flexible and scalable LoRa-Based localization system has been designed and implemented in this paper. It aims to easily and flexibly build the hardware platform by using off-the-shelf LoRa Devices. Its customized system server consists of LoRa-Network-Server, LoRa-Geo-Server and LoRa-App-Server. All the geolocation computation can be done in LoRa-Geo-Server, and results will be transported to LoRa-Network-Server. This makes the proposed system more scalable to develop specific LoRa-App-Server which will provide more Location Based Services. System test results in different Gateway deployments show that the system localization accuracy is basically within the accuracy range of “LoRaWAN Geolocation Whitepaper” presented by LoRa Alliance. It can provide a good experimental platform support for LoRa Localization technology research.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Alliance, L.: A technical overview of LoRa and LoRaWAN. White Paper, November 20 (2015)

    Google Scholar 

  2. Gotthard, P., Jankech, T.: Low-cost car park localization using rssi in supervised lora mesh networks. In: 15th Workshop on Positioning, Navigation and Communications (WPNC), pp. 1–6. IEEE (2018)

    Google Scholar 

  3. Fargas, B.C., Petersen, M.N.: GPS-free geolocation using LoRa in low-power WANs. In: 2017 Global Internet of Things Summit (Giots), pp. 1–6. IEEE, Geneva (2017)

    Google Scholar 

  4. Lora Alliance Strategy Committee, et al.: LoRaWAN Geolocation White-paper. LoRa Alliance, January 2018

    Google Scholar 

  5. Bakkali, W., Kieffer, M., Lalam, M., et al.: Kalman filter-based localization for Internet of Things LoRaWAN™ end points. In: 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), pp. 1–6, IEEE, Montreal (2017)

    Google Scholar 

  6. Wolf, F., Villien, C., De Rivaz, S., et al.: Improved multi-channel ranging precision bound for narrowband LPWAN in multipath scenarios. In: 2018 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1–6. IEEE, Barcelona (2018)

    Google Scholar 

  7. Martin, B.: Technology to the Rescue. In: Survival or Extinction?, pp. 319–330. Springer, Cham (2019)

    Google Scholar 

  8. Carvalho, D.F., Depari, A., Ferrari, P., et al.: On the feasibility of mobile sensing and tracking applications based on LPWAN. In: 2018 IEEE Sensors Applications Symposium (SAS), pp. 1–6, IEEE (2018)

    Google Scholar 

  9. Lestable, T., Lalam, M., Grau, M.: Location-Enabled LoRa IoT Network:‘Geo-LoRa-ting’ your assets. Presentation, September (2015)

    Google Scholar 

  10. Dongare, A., Hesling, C., Bhatia, K., et al.: OpenChirp: A low-power wide-area networking architecture. In: IEEE International Conference on Pervasive Computing & Communications Workshops, pp. 569–574. IEEE (2017)

    Google Scholar 

  11. Nico, P., David, P., Jens, T., et al.: TDoA-Based Outdoor Positioning with Tracking Algorithm in a Public LoRa Network. Wireless Communications and Mobile Computing 2018, 1–9 (2018)

    Google Scholar 

  12. Nandakumar, R., Iyer, V., Gollakota, S., et al.: 3D localization for sub-centimeter sized devices. In: Proceedings of the 16th ACM Conference on Embedded Networked Sensor Systems (SenSys’18), pp. 108–119. ACM (2018)

    Google Scholar 

  13. Gu, C., Jiang, L., Tan, R., et al.: LoRa-Based Localization: Opportunities and Challenges. arXiv: Networking and Internet Architecture (2018)

    Google Scholar 

  14. Guan, P., Zhang, Z., Wei, L., et al.: A real-time bus positioning system based on LoRa technology. In: 2018 2nd International Conference on Smart Grid and Smart Cities (ICSGSC), pp. 45–48, IEEE (2018)

    Google Scholar 

  15. Alibaba Cloud Homepage. https://www.alibabacloud.com/. Accessed 12 Feb 2020

  16. ChirpStack Homepage. https://www.chirpstack.io/. Accessed 12 Feb 2020

  17. Ma, L.: Research and application of wireless sensor location algorithm based on TDOA. Shandong University (2012)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Chen Shi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhao, H., Liu, Z., Zhu, G., Shi, C., Xu, Q. (2021). A Flexible and Scalable Localization System for Off-the-Shelf LoRa Devices. In: Li, B., Li, C., Yang, M., Yan, Z., Zheng, J. (eds) IoT as a Service. IoTaaS 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 346. Springer, Cham. https://doi.org/10.1007/978-3-030-67514-1_28

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-67514-1_28

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-67513-4

  • Online ISBN: 978-3-030-67514-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics