Abstract
The performance of LoRa geolocation for outdoor tracking purposes has been investigated on a public LoRaWAN network. Time Difference of Arrival (TDoA) localization accuracy, update probability, and update frequency were evaluated for different trajectories (walking, cycling, and driving) and LoRa spreading factors. A median accuracy of 200 m was obtained for the raw TDoA output data. In 90% of the cases, the error was less than 480 m. Taking into account the road map and movement speed significantly improves accuracy to a median of 75 m and a 90th percentile error of less than 180 m.
Highlights
Long Range Wide Area Networks (LoRaWAN) are well suited to support Internet of Things (IoT) applications
Public LoRaWAN networks are being deployed with node geolocation functionality using the same Time Difference of Arrival (TDoA) technique as GPS [1]
We investigated the node tracking performance in a public LoRaWAN network with TDoA capabilities
Summary
Long Range Wide Area Networks (LoRaWAN) are well suited to support Internet of Things (IoT) applications. They enable constrained devices (nodes) to connect to the cloud over a long range and with a low power consumption. Public LoRaWAN networks are being deployed with node geolocation functionality using the same Time Difference of Arrival (TDoA) technique as GPS [1]. GPS is providing accurate real-time location updates, it has a disadvantage of consuming a fair amount of power at the mobile device, since TDoA measurements must be processed locally. With LoRa, the TDoA processing happens at network level enabling devices to operate for years without replacing the battery. Based on the timestamps and gateway locations, the position of the node can be estimated using TDoA algorithms [3]
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