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Reseach Article

Ant-Colony-based Algorithm for Multi-Target Tracking in Mobile Sensor Networks

by S. Barath Kumar, G. Myilsamy
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 64 - Number 2
Year of Publication: 2013
Authors: S. Barath Kumar, G. Myilsamy
10.5120/10605-5313

S. Barath Kumar, G. Myilsamy . Ant-Colony-based Algorithm for Multi-Target Tracking in Mobile Sensor Networks. International Journal of Computer Applications. 64, 2 ( February 2013), 16-20. DOI=10.5120/10605-5313

@article{ 10.5120/10605-5313,
author = { S. Barath Kumar, G. Myilsamy },
title = { Ant-Colony-based Algorithm for Multi-Target Tracking in Mobile Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { February 2013 },
volume = { 64 },
number = { 2 },
month = { February },
year = { 2013 },
issn = { 0975-8887 },
pages = { 16-20 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume64/number2/10605-5313/ },
doi = { 10.5120/10605-5313 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:15:20.646350+05:30
%A S. Barath Kumar
%A G. Myilsamy
%T Ant-Colony-based Algorithm for Multi-Target Tracking in Mobile Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 64
%N 2
%P 16-20
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Target tracking is one of the applications of Mobile Sensor Networks. Mobility management is the important parameter that affects the performance and lifetime of the Mobile sensor networks. So we need to manage the mobility in a controlled manner. Existing methods attempt to achieve these requirements for controlled mobility single target tracking only. In this paper, we propose a Multi-Target Tracking method using Ant Colony Optimization to satisfy these requirements. In this proposed method, targets current position values are estimated at every time step. Then, predicting the next position value of each target by using the previous time-step estimated values. Interval Analysis is used for estimation and prediction of position values. Then the proposed method consists of moving the mobile node in an optimal way to cover Multi-Target. The optimal path is been chosen by Ant Colony Optimization technique. Simulations results shows the advantages of the proposed method compared to single target tracking methods.

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Index Terms

Computer Science
Information Sciences

Keywords

Ant colony Controlled Mobility Interval Analysis Mobile Sensor Network Multi-Target Tracking