A Parameteric Estimation Approach to for Effective Cluster Selection in WPAN

A Parameteric Estimation Approach to for Effective Cluster Selection in WPAN

Kiran Juneja

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Anshu Parashar

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GJCST Volume 14 Issue E5

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A Parameteric Estimation Approach to for Effective Cluster Selection in WPAN Banner

WPAN is the most advanced communication network that combines the capabilities of Mobile network and sensor network in a complex global area scenario. This network defines various integrated processes under communication scenario specification. Cluster Selection process is the most common requirement of any WPAN scenario because of the mobility feature for vehicle nodes. In this work, an effective soft-Cluster Selection mechanism is defined under positional and communication parameter analysis. The work is defined for global highway scenario. The obtained results from system shows the effective comm-unication rate and lesser communication loss.

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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.

Kiran Juneja. 2014. \u201cA Parameteric Estimation Approach to for Effective Cluster Selection in WPAN\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 14 (GJCST Volume 14 Issue E5): .

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GJCST Volume 14 Issue E5
Pg. 59- 63

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

cluster selection highway scenario positional analysis WPAN

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Submission ReceivedDecember 7, 2013
RevisedDecember 7, 2013
Peer Review Double Blind
Handling Editor
Accepted January 3, 2014
Published January 15, 2014

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v1.2

Issue date

September 18, 2014

Language

English

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Article Matrices

Total Score: 102

Country: India

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

Authors: Kiran Juneja, Anshu Parashar (PhD/Dr. count: 0)

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Total Views: 8647

Total Downloads: 2112

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