Use this URL to cite or link to this record in EThOS:
Title: Prediction and optimization techniques for performance enhancement of vehicular ad-hoc networks
Author: Sofra, Nikoletta
ISNI:       0000 0004 2693 0169
Awarding Body: Imperial College London
Current Institution: Imperial College London
Date of Award: 2010
Availability of Full Text:
Access from EThOS:
Access from Institution:
The most distinguishing feature of Vehicular Ad-Hoc Networks (VANETs), when compared with generic mobile networks, is the increased mobility of the nodes. This results in the existence of transient communication links, which degrade the performance of developed protocols. Established routes frequently become invalid, and existing communication flows are interrupted, incurring delay and additional overhead. In the course of this thesis we aim to provide a metric to support the design of networks that can proactively adapt to a constantly changing topology. In addition, node mobility may cause network fragmentation, especially during stages of initial deployment. This means that no end-to-end connectivity can be assumed, rendering traditional protocols unusable, and has led to the development of Delay Tolerant Networking (DTN). Inspired by the inherent need of most VANET applications to interact with infrastructure, we examine how the placement of sparsely located stationary nodes can be optimized for different DTN scenarios.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available