UGC Approved Journal no 63975(19)

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Published in:

Volume 6 Issue 4
April-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIRAU06103


Registration ID:
203028

Page Number

670-676

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Title

PERFOMANCE EVALUATION OF K-MEDOIDS TECHNIQUE FOR NODE CLUSTERING IN WSN ROUTING SYSTEM SIBER-DELTA

Abstract

Wireless sensor networks (WSNs) have become a very hot research area in recent years, as a result of their wide potential applications such as military surveillance, agricultural monitoring, industrial and smart home with multimedia sensors to accumulate visual data such as image or video. In general, energy consumption is one of the biggest challenging research issues for WSNs since the tiny sensor nodes cannot be easily re-energized after random deployment. In this paper, an efficient energy reduction method is proposed and is applied to SIBER-DELTA model in order to reduce energy consumption and to prolong network lifetime. Swarm Intelligence based Efficient Trust Aware Routing protocol for Wireless Sensor Networks termed as SIBER-DELTA considers trust rating of the nodes along with energy, distance, link quality of the path to select the best quality path from source to sink for packet forwarding. SIBER-DELTA is a flat routing protocol. One of the trendy scenarios to reduce energy consumption for WSNs is the implementation of clustering technique. The main initiative of this process is to provide efficient energy saving method for WSNs. To get the outstanding result of clustering, K- medoids clustering algorithm is employed to compute the optimal medoids between sensor nodes. Subsequently, suitable cluster heads are selected. By distributing the load among the clusters, energy efficiency can be enhanced and network lifetime can be increased efficiently. Simulation results prove the outperformance of proposed SIBER-DELTA with K -Medoids when compared to the existing SIBER-DELTA model in terms of energy consumption and network lifetime.

Key Words

Wireless Sensor Networks; K-Medoids Clustering algorithm, SIBER-DELTA, Energy Balancing, Network life maximization, Swarm Intelligence

Cite This Article

"PERFOMANCE EVALUATION OF K-MEDOIDS TECHNIQUE FOR NODE CLUSTERING IN WSN ROUTING SYSTEM SIBER-DELTA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.670-676, April-2019, Available :http://www.jetir.org/papers/JETIRAU06103.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

"PERFOMANCE EVALUATION OF K-MEDOIDS TECHNIQUE FOR NODE CLUSTERING IN WSN ROUTING SYSTEM SIBER-DELTA", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp670-676, April-2019, Available at : http://www.jetir.org/papers/JETIRAU06103.pdf

Publication Details

Published Paper ID: JETIRAU06103
Registration ID: 203028
Published In: Volume 6 | Issue 4 | Year April-2019
DOI (Digital Object Identifier):
Page No: 670-676
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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