A Novel Skeleton Extraction Algorithm for  3d Wireless Sensor Networks

A Novel Skeleton Extraction Algorithm for 3d Wireless Sensor Networks

S. K. Pushpa

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S. Ramachandran

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K. R. Kashwan

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1 Vinayaka Missions University

GJCST Volume 13 Issue E16

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The objective of our study was to evaluate, in a population of Togolese People Living With HIV(PLWHIV), the agreement between three scores derived from the general population namely the Framingham score, the Systematic Coronary Risk Evaluation (SCORE), the evaluation of the cardiovascular risk (CVR) according to the World Health Organization.

Wireless sensor network design is critical and resource allocation is a major problem which remains to be solved satisfactorily. The discrete nature of sensor networks renders the existing skeleton extraction algorithms inapplicable. 3D topologies of sensor networks for practical scenarios are considered in this paper and the research carried out in the field of skeleton extraction for three dimensional wireless sensor networks. A skeleton extractionalgorithm applicable to complex 3D spaces of sensor networks is introduced in this paper and is represented in the form of a graph. The skeletal links are identified on the basis of a novel energy utilization function computed for the transmissions carried out through the network. The frequency based weight assignment function is introduced to identify the root node of the skeleton graph. Topological clustering is used to construct the layered topological sets to preserve the nature of the topology in the skeleton graph.

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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.

S. K. Pushpa. 2014. \u201cA Novel Skeleton Extraction Algorithm for 3d Wireless Sensor Networks\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 13 (GJCST Volume 13 Issue E16): .

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GJCST Volume 13 Issue E16
Pg. 31- 45

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

3d algorithm Protocol skeleton extraction skeleton node Wireless sensor networks

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Submission ReceivedDecember 10, 2012
RevisedDecember 10, 2012
Peer Review Double Blind
Handling Editor
Accepted January 1, 2013
Published January 15, 2013

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v1.2

Issue date

February 3, 2014

Language

English

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Total Score: 103

Country: India

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

Authors: S. K. Pushpa, S. Ramachandran, K. R. Kashwan (PhD/Dr. count: 0)

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