Skip Nav Destination
ASME Press Select Proceedings
International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3
By
ISBN:
9780791859810
No. of Pages:
906
Publisher:
ASME Press
Publication date:
2011
eBook Chapter
6 Research on Network Encoding Nodes Reduction Algorithm
By
Lian-Xiang Zhu
Chongqing Key Laboratory of Signal and Information Processing, CQUPT , Chongqing, 400065 , China ; lianxiangzhu@163.com
,
Lian-Xiang Zhu
Search for other works by this author on:
Yan-Yan Zhu
Chongqing Key Laboratory of Signal and Information Processing, CQUPT , Chongqing, 400065 , China ; vipzhuyanyan@163.com
Yan-Yan Zhu
Search for other works by this author on:
Page Count:
5
-
Published:2011
Citation
Zhu, L, & Zhu, Y. "Research on Network Encoding Nodes Reduction Algorithm." International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3. Ed. Xie, Y. ASME Press, 2011.
Download citation file:
Based on the Ford-Fulkerson labeling algorithm which can realize network maximum flow, combining with “edge split path” thought, and through the new understanding of “reused link” and “super critical nodes”, an improved algorithm of reducing the network encoding nodes is proposed in this paper. The algorithm can not only reduce the network encoding nodes to know the necessary encoding nodes, but also determine the information transmitted on the network links using simple linear coding method at coding nodes. Simulation shows that, the proposed algorithm reduces the number of encoding nodes obviously while achieving the multicast maximum flow.
Abstract
Keywords
1. Introduction
2. Algorithm Proposed Background
3. Improved Network Coding Nodes Reduction Algorithm
4. Simulation and Analysis
5. Conclusion
References
This content is only available via PDF.
You do not currently have access to this chapter.
Email alerts
Related Chapters
Dual Scrambling Image Encryption Algorithm Based on Chaotic System with Variable Parameter
Proceedings of the International Conference on Internet Technology and Security
Hybrid Cryptographic Scheme for Data Communication
International Conference on Advanced Computer Theory and Engineering (ICACTE 2009)
Rate-1∕2 Maximum Free Distance Convolutional Codes Complexity Analysis with Chaos-Encrypted Data
Intelligent Engineering Systems through Artificial Neural Networks Volume 18
Detecting the Watermarked Image in Visual CAPTCHA Format and Getting Its Encrypted Information
International Conference on Mechanical Engineering and Technology (ICMET-London 2011)
Related Articles
A Blockchain-Based G-Code Protection Approach for Cyber-Physical Security in Additive Manufacturing
J. Comput. Inf. Sci. Eng (August,2021)
General Correlation of Building Energy Use Via Hybrid Genetic Programming/Genetic Algorithm
J. Sol. Energy Eng (August,2018)
Experimental Design and Algorithmics for a Multichannel Spectral Data Acquisition System
J. Dyn. Sys., Meas., Control (September,2009)