H
Hannes Hartenstein
Researcher at Karlsruhe Institute of Technology
Publications - 250
Citations - 15212
Hannes Hartenstein is an academic researcher from Karlsruhe Institute of Technology. The author has contributed to research in topics: Vehicular ad hoc network & Wireless ad hoc network. The author has an hindex of 55, co-authored 234 publications receiving 14515 citations. Previous affiliations of Hannes Hartenstein include University of Mannheim & University of Freiburg.
Papers
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Proceedings Article
Fractal Image Compression - An Introductory Overview
TL;DR: This paper has chosen the similarity to a particular variant of vector quantization as the most direct approach to fractal image compression and surveys some of the advanced concepts such as fast decoding, hybrid methods, and adaptive partitionings.
Proceedings ArticleDOI
Simulation platform for inter-vehicle communications and analysis of periodic information exchange
TL;DR: The main contributions are an accurate implementation of the MAC and PHY modules adjusted to vehicular environments together with a well defined set of metrics to evaluate communication protocols for vehicular networks.
Proceedings ArticleDOI
Effects of a realistic channel model on packet forwarding in vehicular ad hoc networks
TL;DR: It is shown that for contention-based forwarding (CBF) techniques, realistic channel characteristics provide a positive impact in terms of an increased average hop distance, and an analytical derivation of the expected hop distance for CBF provides a basis to optimally adjust CBF parameters.
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A comparison of UMTS and LTE for vehicular safety communication at intersections
TL;DR: The study shows that UMTS will likely suffer from capacity limitations while LTE could perform reasonably well, and the focus is on the random access performance of the uplink channel.
Journal ArticleDOI
Enabling Accurate Cross-Layer PHY/MAC/NET Simulation Studies of Vehicular Communication Networks
TL;DR: A detailed physical layer simulator is integrated into the popular NS-3 network simulator to bridge the gap between the physical and network layer perspectives, allow for more accurate channel and physical layer models, and enable studies on cross-layer optimization.