This is a new Algo in development, the aim is to have better accuracy compared to
Sadowski, S., & Spachos, P. (2018). RSSI-Based indoor localization with the internet IEEE Access 6(1), 149–301. https://doi.org/10.1109/ACCESS.2018.2843325
All the setup and dataset is based on that paper. The author used only average and trilateration on sampled 100 values. -We have improved the accuracy to 4% using our algorithm, more can be achieved using the concept of Machine Learning The developed algorithm studies the distribution sample before making decision.
This is a python learning repository and will be improved with new concepts to achieve higher accuracy on the availble dataset
TODO: The equidistant points gives better estimations than the other points