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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α Vinayaka Missions University

A Novel Skeleton Extraction Algorithm for 3d Wireless Sensor Networks

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Abstract

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.

References

48 Cites in Article

Reference Format

Tia Gao,Tammara Massey,Leo Selavo,David Crawford,Bor-Rong Chen,Konrad Lorincz,Victor Shnayder,Logan Hauenstein,Foad Dabiri,James Jeng,Arjun Chanmugam,David White,Majid Sarrafzadeh,Matt Welsh (2007). The Advanced Health and Disaster Aid Network: A Light-Weight Wireless Medical System for Triage.
E Cayirci,T Coplu (2007). Sendrom: Networks for Disaster Relief Operations Management.
I Akyildiz,D Pompili,T Melodia (2005). Underwater Acoustic Sensor Networks: Research Challenges.
Robert Szewczyk,Eric Osterweil,Joseph Polastre,Michael Hamilton,Alan Mainwaring,Deborah Estrin (2004). Habitat monitoring with sensor networks.
M Fennell,R Wishner (1998). Battlefield awareness via synergistic SAR and MTI exploitation.
S Patel,K Lorincz,R Hughes,N Huggins,J Growdon,D Standaert,M Akay,J Dy,M Welsh,P Bonato (2009). Monitoring Motor Fluctuations in Patients With Parkinson's Disease Using Wearable Sensors.
K Romer,F Mattern (2004). The design space of wireless sensor networks.
Hongbo Jiang,Wenping Liu,Dan Wang,Chen Tian,Xiang Bai,Xue Liu,Ying Wu,Wenyu Liu (2010). Connectivity-Based Skeleton Extraction in Wireless Sensor Networks.
S Kumar,T Lai,A Arora (2005). Barrier coverage with wireless sensors.
Xiaole Bai,Dong Xuan,Ziqiu Yun,Ten Lai,Weijia Jia (2008). Complete optimal deployment patterns for full-coverage and k-connectivity (k≤6) wireless sensor networks.
M Watfa,S Commuri (2006). A coverage algorithm in 3d wireless sensor networks.
C.-F Huang,Y.-C Tseng,L.-C Lo (2004). The coverage problem in three-dimensional wireless sensor networks.
Jonathan Brandt,V Algazi (1992). Continuous skeleton computation by Voronoi diagram.
S Aylward,E Bullitt (2002). Initialization, Noise, Singularities and Scale in Height Ridge Traversal for Tubular Object Centerline Extraction.
Nikhil Gagvani,Deborah Silver (2001). Animating Volumetric Models.
Nicu Cornea,Deborah Silver,Patrick Min (2007). Curve-Skeleton Properties, Applications, and Algorithms.
N Cornea,D Silver,P Min (2005). Curve-Skeleton Applications.
Hongbo Jiang,Wenping Liu,Dan Wang,Chen Tian,Xiang Bai,Xue Liu,Ying Wu,Wenyu Liu (2010). Connectivity-Based Skeleton Extraction in Wireless Sensor Networks.
Jehoshua Bruck,Jie Gao,Anxiao Jiang (2005). MAP.
Wenping Liu,Hongbo Jiang,Xiang Bai,Guang Tan,Chonggang Wang,Wenyu Liu,Kechao Cai (2013). Distance Transform-Based Skeleton Extraction and Its Applications in Sensor Networks.
Linghe Kong,Mingchen Zhao,Xiao-Yang Liu,Jialiang Lu (2008). Surface Coverage in Sensor Networks.
X Zhang,J Liu,Z Li,M Jaeger Volume Decomposition and Hierarchical Skeletonization.
Tao Wang,Anup Basu (2007). A note on ‘A fully parallel 3D thinning algorithm and its applications’.
Lawson Wade,Richard Parent (2002). Automated generation of control skeletons for use in animation.
T He,L Hong,D Chen,Z Liang (2001). Reliable Path for Virtual Endoscopy: Ensuring Complete Examination of Human Organs.
H Sundar,D Silver,N Gagvani,S Dickinson (2003). Skeleton based shape matching and retrieval.
M Wan,F Dachille,A Kaufman (2001). Distance-Field Based Skeletons for Virtual Navigation.
I Bitter,A Kaufman,M Sato (2001). Penalized-distance volumetric skeleton algorithm.
Jonathan Brandt,V Algazi (1992). Continuous skeleton computation by Voronoi diagram.
R Ogniewicz,M Ilg (1992). Voronoi skeletons: theory and applications.
R Ogniewicz,O Kübler (1995). Hierarchic Voronoi skeletons.
Y Yang,O Brock,R Moll (2004). Efficient and Robust Computation of an Approximated Medial Axis.
T Culver,J Keyser,D Manocha (2004). Exact Computation of the Medial Axis of a Polyhedron.
N Ahuja,Jen-Hui Chuang (1997). Shape representation using a generalized potential field model.
J Chuang,C Tsai,M.-C Ko (2000). Skeletonization of Three-Dimensional Object Using Generalized Potential Field.
P Liu,F Wu,W Ma,R Liang,M Ouhyoung (2003). Automatic Animation Skeleton Construction Using Repulsive Force Field.
T Grigorishin,Y Yang (1998). Skeletonization: An Electrostatic Field-Based Approach.
W Ma,F Wu,M Ouhyoung (2003). Skeleton Extraction of 3D Objects with Radial Basis Functions.
L Lin,H Lee (2007). A Dynamic Medial Axis Model for Sensor Networks.
M Hassouna,A Farag (2005). Robust centerline extraction framework using level sets.
Thomas Deschamps,Laurent Cohen (2001). Fast extraction of minimal paths in 3D images and applications to virtual endoscopy.
Chenyang Xu; Prince,J (1997). Gradient vector flow: a new external force for snakes.
A Charles,T Porsching (1990). Numerical Analysis of Partial Differential Equations.
C Xu,J Prince (1996). Snakes, shapes, and gradient vector flow.
B Falcidieno (null). Special session AIM@SHAPE project presentation.
Rong Gang,Bai,Yu-Gui Qu,Yang Guo,Bao-Hua Zhao (2007). An Energy-Efficient TDMA MAC for Wireless Sensor Networks.
G Zussman,A Segall (2003). Energy efficient routing in ad hoc disaster recovery networks.
B Falcidieno (2013). Special session AIM@SHAPE project presentation.

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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

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

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

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February 3, 2014

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Article Matrices

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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