UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 7 Issue 5
May-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIREA06039


Registration ID:
231800

Page Number

187-194

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Title

Cluster-based Tracking and Discovery of Target in Wireless Sensor Network

Abstract

Energy potency is one of the vital issues amongst various issues associated with wireless sensor network. For one in every of the foremost killer application like object tracking, where the object consumes more energy for continuous reporting in network. Furthermore, recovery mechanism must be run to find the target actual position just in case of object loss. In this paper, we tend to square measure proposing an energy efficient and quick recovery mechanism.

Key Words

Clustering; Dynamic clustering; Prediction; Target tracking; Target recovery; Wireless sensor network;

Cite This Article

"Cluster-based Tracking and Discovery of Target in Wireless Sensor Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 5, page no.187-194, May 2020, Available :http://www.jetir.org/papers/JETIREA06039.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Cluster-based Tracking and Discovery of Target in Wireless Sensor Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 5, page no. pp187-194, May 2020, Available at : http://www.jetir.org/papers/JETIREA06039.pdf

Publication Details

Published Paper ID: JETIREA06039
Registration ID: 231800
Published In: Volume 7 | Issue 5 | Year May-2020
DOI (Digital Object Identifier):
Page No: 187-194
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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