Accurate Energy-Efficient Localization using Radio Database Compression and Clustering Technique
Navneet Bhattad1, Sudhir Rathod2, Viraj Wankhede3, Kshitij Gosavi4, Amita Meshram5
1Navneet Bhattad, Computer Technology, RTMN University, YCCE, NYSS, Nagpur, India.
2Sudhir Rathod, Computer Technology, RTMN University, YCCE, NYSS, Nagpur, India.
3Viraj Wankhede, Computer Technology, RTMN University, YCCE, NYSS, Nagpur, India.
4Kshitij Gosavi, Computer Technology, RTMN University, YCCE, NYSS, Nagpur, India.
5Amita Meshram, Computer Technology, RTMN University, YCCE, NYSS, Nagpur, India.
Manuscript received on January 25, 2014. | Revised Manuscript received on February 13, 2014. | Manuscript published on February 28, 2014. | PP: 34-37 | Volume-3, Issue-3, February 2014. | Retrieval Number: C2533023314/2013©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: 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.
Keywords: W-LANs, (GPS), (BWC).