I’m exploring ways to enhance the accuracy of location-based services using LoRaWAN and ChirpStack. I recently came across the need to determine “what county I am in” when working with devices that connect through a LoRaWAN network.
Given that ChirpStack is widely used for managing LoRaWAN networks, I’m curious if there’s an efficient method to derive the county information directly or indirectly through the ChirpStack platform. For example, is it possible to use the GPS coordinates received from the devices and then query an external service or database to pinpoint the exact county? Or is there a more integrated approach within ChirpStack that can help achieve this?
Additionally, I’m wondering how accurate the location data is when it’s processed through ChirpStack. Does the accuracy vary depending on the device type or the configuration of the network server? Also, how does ChirpStack handle the geolocation of devices in scenarios where GPS might be unreliable, like in urban areas with dense buildings or remote areas with poor satellite coverage?
I’m also interested in understanding the best practices for storing or processing location data to determine the county accurately. Is there a recommended setup for data storage, especially considering that the county data might be needed for compliance or regional-specific services?
Finally, I would love to hear from others who might have implemented similar functionality or have experience in using ChirpStack for location-based queries like determining “what county I am in.” Are there any pitfalls or common issues to watch out for? Any tips on how to optimize the ChirpStack configuration for such use cases would be greatly appreciated.
Looking forward to the insights and experiences from the community!