Faculty Advisor or Committee Member

Alexander Wyglinski, Advisor

Faculty Advisor or Committee Member

Donald Richard Brown, Committee Member

Faculty Advisor or Committee Member

Scott Pudlewski, Committee Member

Identifier

etd-2861

Abstract

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.

Publisher

Worcester Polytechnic Institute

Degree Name

MS

Department

Electrical & Computer Engineering

Project Type

Thesis

Date Accepted

2019-08-15

Accessibility

Unrestricted

Subjects

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

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