Keywords

Computer networks; Neural networks, Computer science; Packet switching; Data transmission

Abstract

This dissertation studied cognitive packet networks (CPN) which build networked learning systems that support adaptive, quality of service-driven routing of packets in wired networks and in wireless, mobile ad hoc networks.

The first part of this study completed the design of the CPN algorithm for wired systems by revisiting the decision making procedure employed by smart packets in the former initiative. To conduct evaluation studies, this work proposed two implementation architectures, both of which were integrated into the Linus 2.4 kernel.

The second part of this dissertation extended CPN to ad hoc networks by introducing mechanisms to handle node mobility with a new quality-of-service metric that makes better use of the limited resources typically present in such networks. in ad hoc CPN (AHCPN), path availability quantifies a path via the probability to find nodes and links available for routing; it is defined as a function of battery lifetime at nodes and signal-to-noise ratio of communication channels. As a result, nodes which have low power are able to extend their working lifetime and routes are selected based on power considerations, leading to the establishment of more robust communication paths over time.

This research included the deployment of three network testbeds and extensive experimentation to verify the performance of both CPN and AHCPN. In addition, a simulation model of ACHPN was developed using Network Simulator 2 (NS-2). Measurements on real systems and simulations revealed great capacity for adaptability and successful performance of both CPN and AHCPN under different network conditions.

Graduation Date

2003

Semester

Spring

Advisor

Gelenbe, Erol

Degree

Doctor of Philosophy (Ph.D.)

College

College of Engineering and Computer Science

Department

School of Electrical Engineering and Computer Science

Degree Program

Electrical Engineering and Computer Science

Format

PDF

Pages

160 p.

Language

English

Rights

Written permission granted by copyright holder to the University of Central Florida Libraries to digitize and distribute for nonprofit, educational purposes.

Length of Campus-only Access

None

Access Status

Doctoral Dissertation (Open Access)

Identifier

DP0001374

Subjects

Engineering -- Dissertations, Academic

Accessibility Status

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