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Reseach Article

Energy efficient Multi-Target Tracking in Wireless Sensor Networks with accuracy

Published on May 2012 by G. Suresh Kumar, V. Rajamani
National Conference on Advances in Computer Science and Applications (NCACSA 2012)
Foundation of Computer Science USA
NCACSA - Number 2
May 2012
Authors: G. Suresh Kumar, V. Rajamani
ffe7343d-661a-4cde-8edf-f43841c90e45

G. Suresh Kumar, V. Rajamani . Energy efficient Multi-Target Tracking in Wireless Sensor Networks with accuracy. National Conference on Advances in Computer Science and Applications (NCACSA 2012). NCACSA, 2 (May 2012), 1-5.

@article{
author = { G. Suresh Kumar, V. Rajamani },
title = { Energy efficient Multi-Target Tracking in Wireless Sensor Networks with accuracy },
journal = { National Conference on Advances in Computer Science and Applications (NCACSA 2012) },
issue_date = { May 2012 },
volume = { NCACSA },
number = { 2 },
month = { May },
year = { 2012 },
issn = 0975-8887,
pages = { 1-5 },
numpages = 5,
url = { /proceedings/ncacsa/number2/6483-1008/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advances in Computer Science and Applications (NCACSA 2012)
%A G. Suresh Kumar
%A V. Rajamani
%T Energy efficient Multi-Target Tracking in Wireless Sensor Networks with accuracy
%J National Conference on Advances in Computer Science and Applications (NCACSA 2012)
%@ 0975-8887
%V NCACSA
%N 2
%P 1-5
%D 2012
%I International Journal of Computer Applications
Abstract

Wireless Sensor Networks (WSN) depend on the algorithms and protocols for Communication and Computation. In this paper, the target tracking application in WSNs consist of active sensors. Sensor senses the environment actively by emitting energy and measuring the reflected energy. In the algorithm, a presentation of novel collaborative sensing scheme is used to sense the multiple targets and high maneuvering targets in an energy efficient method. Joint sensing can increase the sensing region of an individual emitting sensor and generate multiple sensor measurements simultaneously. In order to conserve energy, the sensors may be put into sleep mode. Adaptive Scheduling is used to estimate the target velocity using sensor measurements, to predict the target movement. Joint Sensing is used to track the targets accurately as compared to the individual sensing. Multiple and high maneuvering targets are identified with energy efficiency.

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Index Terms

Computer Science
Information Sciences

Keywords

Quality Of Information Target Tracking Joint Sensing Sensor Scheduling Adaptive Scheduling