Optimal Locations Identification for Helium Network
Budget: $1,500 – $3,000 CAD
I need someone to design a software program (library or api) that identifies optimal (ie: highest earnings potential) geographic locations for new wireless radio gateways being added to the existing and expanding Helium distributed network.
- connect to Helium API for existing gateway and earnings data
- connect to mapping API for GEO and elevation data
- understanding of radio signal calculations (ie: strength, loss, range)
- understanding of topographical calculations (ie: line of sight, distance)
- potentially utilize ML models & algorithms for predictions
- Python or .NET development. Prefer .NET/C#.
Input:
Geographic Coordinates
Output:
Suitability rating matrix for combinations of antenna height & dBi
- connect to Helium API for existing gateway and earnings data
- connect to mapping API for GEO and elevation data
- understanding of radio signal calculations (ie: strength, loss, range)
- understanding of topographical calculations (ie: line of sight, distance)
- potentially utilize ML models & algorithms for predictions
- Python or .NET development. Prefer .NET/C#.
Input:
Geographic Coordinates
Output:
Suitability rating matrix for combinations of antenna height & dBi
Related categories:
C# Programming
Cartography & Maps
Machine Learning (ML)
Geospatial
Radio Frequency Engineering