Accurate Energy - Efficient Localization using Radio Database Compression and Clustering Technique

Location based service is a positioning method that exploits the already existing infrastructures such as cellular networks or W-LANs. Increasing Demand for Energy efficient networks, we are proposing a clustering technique for compressing the radio database in Login Systems. The aim of the proposed technique is to reduce the computation cost and transmission load in the mobile-based implementations using Global Positioning System (GPS). The presented method is Block-based Weighted Clustering (BWC) technique, which is applied in a concatenated location-radio signal space, and attributes different weight factors to the location and radio components. The Experimental Architecture will be produced to evaluate the results and the efficiency of the BWC technique. Also, it improves the performance of standard k-means and hierarchical clustering methods. KeywordsW-LANs, (GPS), (BWC)