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Stefan Rührup

Researcher at University of Freiburg

Publications -  6
Citations -  229

Stefan Rührup is an academic researcher from University of Freiburg. The author has contributed to research in topics: Geographic routing & Link-state routing protocol. The author has an hindex of 6, co-authored 6 publications receiving 227 citations.

Papers
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Book ChapterDOI

Routing in Wireless Sensor Networks

TL;DR: A survey of state-of-the-art routing techniques with a focus on geographic routing, a paradigm that enables a reactive message-efficient routing without prior route discovery or knowledge of the network topology.
Journal ArticleDOI

Message-efficient beaconless georouting with guaranteed delivery in wireless sensor, ad hoc, and actuator networks

TL;DR: A theoretical framework for delay functions is developed and it is shown that with a function of angle and distance the authors can reduce the number of protests by a factor of 2 compared to a simple angle-based delay function.
Book ChapterDOI

Optimized java binary and virtual machine for tiny motes

TL;DR: TakaTuka’s optimization of program memory usage is focused on, which optimizes storage requirements for the Java classfiles as well as for the JVM interpreter, both of which are expected to be stored on the embedded devices.
Journal ArticleDOI

Optimizing Communication Overhead while Reducing Path Length in Beaconless Georouting with Guaranteed Delivery for Wireless Sensor Networks

TL;DR: This paper shows that recovery is possible within this 3-message scheme: the Rotational Sweep algorithm directly identifies the next hop after timer-based contention and constructs a traversal path that ensures progress after a greedy failure, and proves that both traversal schemes guarantee delivery in unit disk graphs.
Proceedings ArticleDOI

DT-DYMO: Delay-Tolerant Dynamic MANET On-demand Routing

TL;DR: DT-DYMO, a combination of ad hoc routing based on the established Dynamic MANET On-demand Routing protocol and mechanisms for in-network storage and delivery likelihood prediction, provides faster delivery than opportunistic message passing schemes that rely only on delivery likelihood estimation.