We present a simple location estimation method for developing radio beacon based location system in the indoor
environments. It employs an online learning approach for making large scale location systems in a short time
collaboratively. The salient features of our method are low memory requirements and simple computations which make
it suitable for both distributed location-aware applications based on client-server model as well as privacy sensitive
applications residing on stand alone devices.