Enhancing Network Lifetime in Wireless Sensor Networks Adopting Elephant Swarm Optimization

Enhancing Network Lifetime in Wireless Sensor Networks Adopting Elephant Swarm Optimization

Chandramouli H

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Chandramouli.H

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Dr. Somashekhar C Desai

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K S Jagadeesh

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Kashyap D Dhruve

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α Shri Jagdishprasad Jhabarmal Tibrewala University

Enhancing Network Lifetime in Wireless Sensor Networks Adopting Elephant Swarm Optimization

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Abstract

Enhancing the lifetime of wireless sensor networks had baffled researchers for quite some time now. The authors of this research manuscript draw inspiration from the behavior of large elephant swarms and incorporate their behavior into wireless sensor networks. The complex elephant swarm behavior is incorporated using a cross layer approach. The elephant optimization discussed in this paper enables optimized routing techniques, adaptive radio link optimization and balanced scheduling to achieve a cumulative enhanced network performance. The proposed elephant swarm optimization is compared with the popular protocol. The experimental study presented proves that the Elephant Swarm Optimization technique enhances the network life time by about 73%.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Chandramouli H. 2013. \u201cEnhancing Network Lifetime in Wireless Sensor Networks Adopting Elephant Swarm Optimization\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 13 (GJCST Volume 13 Issue E4): .

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GJCST Volume 13 Issue E4
Pg. 9- 17

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Cross layer design elephant swarm energy efficiency Network Lifetime Optimization resource allocation sensor networks

Submission ReceivedDecember 13, 2012
Peer Review Double Blind
Handling Editor
Accepted December 31, 2012
Published January 15, 2013

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v1.2

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April 18, 2013

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Article Matrices

Total Score: 109

Country: India

Subject: Global Journal of Computer Science and Technology - E: Network, Web & Security

Authors: Chandramouli.H, Dr. Somashekhar C Desai, K S Jagadeesh, Kashyap D Dhruve (PhD/Dr. count: 1)

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Total Views: 9729

Total Downloads: 2561

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