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Evaluating mobility predictors in wireless networks for improving handoff and opportunistic routing.

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Call No.	Ph.D. 2008
Author	Song, Libo.
Title	Evaluating mobility predictors in wireless networks for improving handoff and opportunistic routing.
Date	2008
Abstract	We evaluate mobility predictors in wireless networks. Handoff prediction in wireless networks has long been considered as a mechanism to improve the quality of service provided to mobile wireless users. Most prior studies, however, were based on theoretical analysis, simulation with synthetic mobility models, or small wireless network traces. We study the effect of mobility prediction for a large realistic wireless situation. We tackle the problem by using traces collected from a large production wireless network to evaluate several major families of handoff-location prediction techniques, a set of handoff-time predictors, and a predictor that jointly predicts handoff location and time. We also propose a fallback mechanism, which uses a lower-order predictor whenever a higher-order predictor fails to predict. We found that low-order Markov predictors, with our proposed fallback mechanisms, performed as well or better than the more complex and more space-consuming compression-based handoff-location predictors. Although our handoff-time predictor had modest prediction accuracy, in the context of mobile voice applications we found that bandwidth reservation strategies can benefit from the combined location and time handoff predictor, significantly reducing the call-drop rate without significantly increasing the call-block rate. We also developed a prediction-based routing protocol for mobile opportunistic networks. We evaluated and compared our protocol's performance to five existing routing protocols, using simulations driven by real mobility traces. We found that the basic routing protocols are not practical for large-scale opportunistic networks. Prediction-based routing protocols trade off the message delivery ratio against resource usage and performed well and comparable to each other.
Description	xiii, 200 leaves : ill. 28 cm.
Format	application/pdf
Advisor	David Kotz
Subject	Wireless communication systems. Computer network protocols.
College	Dartmouth College -- Department of Computer Science.
Issuing Body	Dartmouth Dissertations are made available through the Dartmouth Digital Library.
Degree	Thesis (Ph.D.)--Dartmouth College.
Copyright	All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means without permission in writing from the author.
DOI	http://dx.doi.org/10.1349/ddlp.179

Title	Page 1
Format	application/pdf
Issuing Body	Dartmouth Dissertations are made available through the Dartmouth Digital Library.
Degree	Thesis (Ph.D.)--Dartmouth College.
Full Text	Evaluating Mobility Predictors in Wireless Networks for Improving Handoff and Opportunistic Routing A Thesis Submitted to the Faculty in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Computer Science by Libo Song DARTMOUTH COLLEGE Hanover, New Hampshire January 2008 Charles K. Barlowe, Ph.D. Dean of Graduate Studies Examining Committee: (chair) David F. Kotz, Ph.D. Andrew T. Campbell, Ph.D. Thomas H. Cormen, Ph.D. Ravi Jain, Ph.D.

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