To: Author

Article Fingerprint
ReserarchID
CST3ANYG
Choose where you want to hide AI Takeaway. Your site-wide choice will be remembered in this browser.
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.
S. K. Pushpa, S. Ramachandran, K. R. Kashwan. 2014. "A Novel Skeleton Extraction Algorithm for 3d Wireless Sensor Networks". Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 13 (GJCST Volume 13 Issue E16).
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
v1.2
Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.
Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.
Total Score: 143
Country: India
Subject: Global Journal of Computer Science and Technology
Authors: S. K. Pushpa, S. Ramachandran, K. R. Kashwan (PhD/Dr. count: 0)
View Count (all-time): 453
Total Views (Real + Logic): 3028
Total Downloads (simulated): 129
Publish Date: 2013 01, Tue
Monthly Totals (Real + Logic):
We use cookies and similar technologies to improve site performance, understand traffic, and enhance your publishing experience. Cookie Policy
Choose which optional cookies Global Journals can use. Your preference applies across this platform and can be updated any time.
These cookies are required for core website functionality and security.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.