A Lower Bound to Transmission Power for Multicast in Underwater Networks using Network Coding

• Type: Article in International Conference Proceedings Book
• Date: 2008

Authors

Daniel E. Lucani (Author) FEUP; Muriel Médard (Author) FEUP; Milica Stojanovic (Author) FEUP

Conference proceedings International

Title: International Symposium on Information Theory and Its Applications (ISITA)

Pages: 1-6

International Symposium on Information Theory and Its Applications (ISITA)

Auckland, New Zealand, 7 - 10 Dec 2008

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Engineering > Communication engineering > Telecommunications engineering

Other information

Resumo (PT): The purpose of this paper is to show that convexity of the underwater acoustic channel and that near-convexity of an approximate closed-form model for that channel holds, in order to use network optimization techniques. We obtain a lower bound on transmission power using subgraph selection to establish minimum-cost multicast connections in underwater acoustic networks with network coding. We solve this problem for a range of transmission distances that are of interest for practical systems and exploiting physical properties of the underwater acoustic channel. Since the complete model for the underwater channel is complex, an approximate model is used for numerical computations. We illustrate results numerically determining the lower bound on transmission power for different random two-dimensional deployment scenarios and unicast rates. Also, we quantify the performance gap of two practical network layer schemes with respect to the lower bound.

Abstract (EN): The purpose of this paper is to show that convexity of the underwater acoustic channel and that near-convexity of an approximate closed-form model for that channel holds, in order to use network optimization techniques. We obtain a lower bound on transmission power using subgraph selection to establish minimum-cost multicast connections in underwater acoustic networks with network coding. We solve this problem for a range of transmission distances that are of interest for practical systems and exploiting physical properties of the underwater acoustic channel. Since the complete model for the underwater channel is complex, an approximate model is used for numerical computations. We illustrate results numerically determining the lower bound on transmission power for different random two-dimensional deployment scenarios and unicast rates. Also, we quantify the performance gap of two practical network layer schemes with respect to the lower bound.

Language: English

Type (Professor's evaluation): Scientific