UGC Approved Journal no 63975(19)

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

Volume 6 Issue 2
February-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1902519


Registration ID:
197921

Page Number

104-113

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Title

Enhance the Lifetime of Wireless Sensor Network Using A Novel Approach Based On Neural Network

Authors

Abstract

Wireless sensor network consist of tiny and small device, named wireless sensor nodes and works towards a goal. Wireless sensor nodes have some storage capacity and computation power to complete their task. Because it is small and cheap, it can be deployed easily in a hostile and unattended environment. Wireless sensor networks have mainly two issues one is limited life time of node and second is power conception of sensor node of the network. Among various types of techniques clustering is the most efficient technique to reduce energy consumption of network. In this work, LEACH protocol has been used for clustering in which cluster heads are selected on the basis of distance and energy. The LEACH protocol is been implemented in simulated environment and analyze their performance graphically. The LEACH protocol is energy efficient protocol to reduce their energy consumption different modes is applied on the sensor nodes. These modes are sleep, Active and ready mode. In this work, further enhancement will be proposed in RFID protocol for clock synchronization. In the proposed improvement the clocks of the sensor nodes will be synchronized on the basis of time lay technique. When the time of the cluster head gets mismatched then the cluster head will adjust its clock according to the sink node timing and sensor nodes. The proposed technique has been implemented in simulated environmental conditions. The graphical results show that proposed technique performs better than previous protocol in terms of throughput, delay, overhead, energy consumption and packet loss in the network.

Key Words

WSN, RFID, EEHC, HEED

Cite This Article

"Enhance the Lifetime of Wireless Sensor Network Using A Novel Approach Based On Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.104-113, February-2019, Available :http://www.jetir.org/papers/JETIR1902519.pdf

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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

"Enhance the Lifetime of Wireless Sensor Network Using A Novel Approach Based On Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp104-113, February-2019, Available at : http://www.jetir.org/papers/JETIR1902519.pdf

Publication Details

Published Paper ID: JETIR1902519
Registration ID: 197921
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 104-113
Country: BHOPAL, MADHYA PRADESH, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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