LoRaWAPS: A Wide-Area Positioning System Based on LoRa Mesh

Author:

Li Bin12,Xu Yihao3,Liu Ying4ORCID,Shi Zhiguo3ORCID

Affiliation:

1. State Key Laboratory of Industrial Control Technology, Zhejiang University, Hangzhou 310027, China

2. Department of Information Engineering, Yangzhou Polytechnic College, Yangzhou 225009, China

3. College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China

4. College of Control Science and Engineering, Zhejiang University, Hangzhou 310027, China

Abstract

The positioning task of the Internet of Things (IoT) for outdoor environments requires that the node devices meet the requirements of low power consumption, long endurance, and low cost and that the positioning system can achieve high-precision positioning and wide-area coverage. Considering that traditional IoT positioning technology cannot balance the cost, energy consumption, and positioning performance well, a Wide-Area Positioning System Based on Long Range Mesh (LoRaWAPS), which is a low-cost and low-power outdoor positioning system with multi-anchor wireless mesh networking and multi-dimensional data fusion, is designed in this paper. To meet the need for a positioning system, a low-power consumption and high-reliability LoRa Mesh protocol is proposed. Aiming at the problem that the accuracy of LoRa ranging is easily affected by the non-line-of-sight (NLOS) path propagation of signals, a distance estimation algorithm based on the fusion of time of flight (TOF) and received signal strength indicator (RSSI) multi-sampling data is proposed. Furthermore, a position estimation algorithm is designed to minimize the posteriori RSSI error for multi-anchor cooperative estimation scenarios. Furthermore, the prototype of LoRaWAPS is built and tested in the campus environment. The experimental results show that the proposed system can provide reliable location service with low power and low cost.

Funder

Open Research Project of the State Key Laboratory of Industrial Control Technology, Zhejiang University, China

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

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3. Ramadan, M., Sark, V., Gutierrez, J., and Grass, E. (2018, January 14–16). NLOS Identification for Indoor Localization using Random Forest Algorithm. Proceedings of the WSA 2018, 22nd International ITG Workshop on Smart Antennas, Bochum, Germany.

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