Abstract
Location systems are core technologies for enabling pervasive computing smart spaces. Signal Strength based location estimation offers economical viability and sufficient accuracy for numerous location based services. Despite extensive research being carried out in this positioning method, tedious and lengthy development life cycle prohibits wide scale deployment of these systems. We present a new approach based on online machine learning paradigm which significantly reduces the development time. Besides rapid development of location systems this approach shows competitive location accuracy and allows incremental expansion of location system.