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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Alliance, L.: A technical overview of LoRa and LoRaWAN. White Paper, November 20 (2015)
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)
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)
Lora Alliance Strategy Committee, et al.: LoRaWAN Geolocation White-paper. LoRa Alliance, January 2018
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)
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)
Martin, B.: Technology to the Rescue. In: Survival or Extinction?, pp. 319–330. Springer, Cham (2019)
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)
Lestable, T., Lalam, M., Grau, M.: Location-Enabled LoRa IoT Network:‘Geo-LoRa-ting’ your assets. Presentation, September (2015)
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)
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)
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)
Gu, C., Jiang, L., Tan, R., et al.: LoRa-Based Localization: Opportunities and Challenges. arXiv: Networking and Internet Architecture (2018)
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)
Alibaba Cloud Homepage. https://www.alibabacloud.com/. Accessed 12 Feb 2020
ChirpStack Homepage. https://www.chirpstack.io/. Accessed 12 Feb 2020
Ma, L.: Research and application of wireless sensor location algorithm based on TDOA. Shandong University (2012)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
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)