This thesis proposes a convex network utility maximization (NUM) problem that can be solved to optimize a cross-layer network based on user and system defined requirements for quality and link capacity of multimedia applications. The problem can also be converged to a distributed solution using dual decomposition. Current techniques do not address the changing system's requirements for the network in addition to the user's requirements for an application when optimizing a cross-layer network, but rather focus on optimizing a dynamic network to conform to a real-time application or for a specific performance. Optimizing the cross-layer network for the changing system and user requirements allows a more accurate optimization of the overall cross-layer network of any given multi-node, ad-hoc wireless application for data transmission quality and link capacity to meet overall mission demands.

Creator

• Rahman, Tasnim

Contributors

• Wyglinski, Alexander
• Pudlewski, Scott
• Brown, Donald R.

Degree

• MS

Unit

• Electrical & Computer Engineering

Publisher

• Worcester Polytechnic Institute

Identifier

• etd-2861

Keyword

• Network Utility
• Swarm Network
• Multi-node Network
• Convex Optimization
• Application Requirements

Advisor

• Wyglinski, Alexander

Committee

• Pudlewski, Scott
• Brown, Donald Richard

Defense date

• 2019-08-15

Year

• 2019

Date created

• 2019-08-16

Resource type

• Thesis

Rights statement

• In Copyright

Last modified

• 2023-09-19