Optimizing the Search in Hierarchical Database using Quad Tree

Authors(2) :-Deepak Kumar Sharma, Sonia Vatta

This research work is done to optimize the search in hierarchal database by using Quad Tree. Quad Tree is a tree which consists of a node having 4 sub child nodes.[1] Quad Tree is used in many fields such as computer graphics to find out a desired pixel in graphics and collision detection in 3-D gaming. There are various other applications of quad tree in different fields like weather forecasting, geographical survey and study of mutation rate with a change of environment. The main focus of this work was optimizing the search for which the main areas of concentration were various searching techniques using Quad Tree and finding out the best solution. To fulfill the purpose, a new approach is designed which results in better representation of data and enhancing the speed of search. This work is done on the basis of the value of the root node. Further based on this value, the ranges of nodes at each level are calculated. The results are also included with snapshots and comparison is given between earlier and proposed techniques.

Authors and Affiliations

Deepak Kumar Sharma
School of Computer Science and Engineering Bahra University Waknaghat Solan, Himachal Pradesh, India
Sonia Vatta
School of Computer Science and Engineering Bahra University Waknaghat Solan, Himachal Pradesh, India

Quad Tree, Memory Management, Search, Result

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Publication Details

Published in : Volume 1 | Issue 4 | July-August 2015
Date of Publication : 2015-08-25
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 221-226
Manuscript Number : IJSRSET151422
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Deepak Kumar Sharma, Sonia Vatta, " Optimizing the Search in Hierarchical Database using Quad Tree, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 1, Issue 4, pp.221-226, July-August-2015.
Journal URL : http://ijsrset.com/IJSRSET151422

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