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Location based Spatial Position Query Processing Environment for Position Queries using Energy Aware Clustering in VANET

by Amit Neema, Ashish Khare
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 64 - Number 14
Year of Publication: 2013
Authors: Amit Neema, Ashish Khare
10.5120/10701-4803

Amit Neema, Ashish Khare . Location based Spatial Position Query Processing Environment for Position Queries using Energy Aware Clustering in VANET. International Journal of Computer Applications. 64, 14 ( February 2013), 18-21. DOI=10.5120/10701-4803

@article{ 10.5120/10701-4803,
author = { Amit Neema, Ashish Khare },
title = { Location based Spatial Position Query Processing Environment for Position Queries using Energy Aware Clustering in VANET },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 64 },
number = { 14 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 18-21 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume64/number14/10701-4803/ },
doi = { 10.5120/10701-4803 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:16:25.461015+05:30
%A Amit Neema
%A Ashish Khare
%T Location based Spatial Position Query Processing Environment for Position Queries using Energy Aware Clustering in VANET
%J International Journal of Computer Applications
%@ 0975-8887
%V 64
%N 14
%P 18-21
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Location-based spatial queries (LBSQs) refer to spatial queries whose answers rely on the location of the inquirer. Efficient processing of LBSQs is of critical importance with the ever-increasing deployment and use of mobile technologies. In a mobile environment, especially when the location of the objects change frequently and many queries are being generated, a centralized system cannot handle the query well. Hence in this work we propose a hybrid mechanism of handling the query by peer node called clusters. Nodes first listen to a broadcasting server which gets the information by beacon packets sent by the wireless nodes. In this paper, we focus on the propagation of local information originating in vehicles that is useful for other vehicles in the system. This type of activity has been described as Information Warning Functions (IWF). We illustrate the appeal of our technique through extensive simulation results carried out using omnet++ Results shows that the system performance is independent of the topology.

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Index Terms

Computer Science
Information Sciences

Keywords

VANET Clustering Hybrid mobility Flooding Traffic regulation

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