A Novel Skeleton Extraction Algorithm for  3d Wireless Sensor Networks

A Novel Skeleton Extraction Algorithm for 3d Wireless Sensor Networks

S. K. Pushpa

Contact

S. Ramachandran

Contact

K. R. Kashwan

Contact

1 Vinayaka Missions University

GJCST Volume 13 Issue E16

Article Fingerprint

ReserarchID

CSTNWS3ANYG

, ,

A Novel Skeleton Extraction Algorithm for 3d Wireless Sensor Networks Banner

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.

48 Cites in Articles

References

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.

Download References

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): .

More Citation Formats

Select Citation Style:

Download Citation

Download Article

GJCST Volume 13 Issue E16
Pg. 31- 45

Explore Journals Explore Volume Read This Issue

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

Classification

Not Found

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

Version of record

v1.2

Issue date

February 3, 2014

Language

English

Experiance in AR

The methods for personal identification and authentication are no exception.

Read in 3D

The methods for personal identification and authentication are no exception.

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)

View Count (all-time): 260

Total Views (Real + Logic): 9051

Total Downloads (simulated): 2286

Publish Date: 2014 02, Mon

Monthly Totals (Real + Logic):

Month 1: 66 views
Month 2: 35 views
Month 3: 50 views
Month 4: 32 views
Month 5: 58 views
Month 6: 38 views
Month 7: 38 views
Month 8: 32 views
Month 9: 33 views
Month 10: 44 views
Month 11: 31 views
Month 12: 33 views
Month 13: 31 views
Month 14: 39 views
Month 15: 30 views
Month 16: 29 views
Month 17: 29 views
Month 18: 35 views
Month 19: 26 views
Month 20: 33 views
Month 21: 24 views
Month 22: 31 views
Month 23: 33 views
Month 24: 26 views
Month 25: 11 views
Month 26: 46 views
Month 27: 31 views
Month 28: 32 views
Month 29: 28 views
Month 30: 29 views
Month 31: 32 views
Month 32: 44 views
Month 33: 36 views
Month 34: 11 views
Month 35: 39 views
Month 36: 39 views
Month 37: 28 views
Month 38: 39 views
Month 39: 18 views
Month 40: 21 views
Month 41: 36 views
Month 42: 31 views
Month 43: 19 views
Month 44: 39 views
Month 45: 15 views
Month 46: 41 views
Month 47: 50 views
Month 48: 24 views
Month 49: 26 views
Month 50: 28 views
Month 51: 30 views
Month 52: 28 views
Month 53: 45 views
Month 54: 30 views
Month 55: 42 views
Month 56: 32 views
Month 57: 43 views
Month 58: 38 views
Month 59: 36 views
Month 60: 31 views
Month 61: 33 views
Month 62: 38 views
Month 63: 25 views
Month 64: 36 views
Month 65: 36 views
Month 66: 19 views
Month 67: 20 views
Month 68: 49 views
Month 69: 28 views
Month 70: 24 views
Month 71: 25 views
Month 72: 34 views
Month 73: 35 views
Month 74: 47 views
Month 75: 20 views
Month 76: 33 views
Month 77: 27 views
Month 78: 22 views
Month 79: 37 views
Month 80: 14 views
Month 81: 18 views
Month 82: 20 views
Month 83: 25 views
Month 84: 40 views
Month 85: 19 views
Month 86: 24 views
Month 87: 41 views
Month 88: 38 views
Month 89: 27 views
Month 90: 37 views
Month 91: 22 views
Month 92: 21 views
Month 93: 31 views
Month 94: 21 views
Month 95: 36 views
Month 96: 13 views
Month 97: 31 views
Month 98: 32 views
Month 99: 29 views
Month 100: 38 views
Month 101: 32 views
Month 102: 39 views
Month 103: 26 views
Month 104: 20 views
Month 105: 25 views
Month 106: 25 views
Month 107: 31 views
Month 108: 48 views
Month 109: 37 views
Month 110: 32 views
Month 111: 33 views
Month 112: 26 views
Month 113: 20 views
Month 114: 28 views
Month 115: 23 views
Month 116: 28 views
Month 117: 38 views
Month 118: 33 views
Month 119: 25 views
Month 120: 46 views
Month 121: 25 views
Month 122: 29 views
Month 123: 35 views
Month 124: 25 views
Month 125: 37 views
Month 126: 42 views
Month 127: 13 views
Month 128: 25 views
Month 129: 23 views
Month 130: 29 views
Month 131: 28 views
Month 132: 15 views
Month 133: 49 views
Month 134: 29 views
Month 135: 25 views
Month 136: 15 views
Month 137: 33 views
Month 138: 13 views
Month 139: 39 views
Month 140: 48 views
Month 141: 32 views
Month 142: 24 views
Month 143: 34 views
Month 144: 30 views
Month 145: 23 views
Month 146: 54 views
Month 147: 31 views

Total Views: 9051

Total Downloads: 2286

2026 Trends

Research Identity (RIN)

Published Article

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]

This Page is Under Development

We are currently updating this article page for a better experience.