Location Tracking and Data Compression for Accurate Energy Efficient Localization using GSM system
Sandesha M. Kale1, Amresh Kumar2
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Location Tracking is a very popular method of finding the location in the new era. It provides lots of applications in the market. In the recent years, the mobile service providers have deployed commercial Location- Based Services (LBS) which are a positioning method that exploits the already existing infrastructures such as cellular networks or W-LANs. The Global Positioning System (GPS) is the mostly usable positioning technique in the outdoor open environments. But it has some drawbacks such as poor performance in crowded areas and high power consumption. These drawbacks led to the development of positioning techniques based on wireless networks. In this paper, here propose localization technique by using GSM or Wi-Fi by using block based weighted clustering technique. The main aim of this technique is to reduce the computation cost and transmission load 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.