K
Kay Römer
Researcher at Graz University of Technology
Publications - 255
Citations - 9173
Kay Römer is an academic researcher from Graz University of Technology. The author has contributed to research in topics: Wireless sensor network & Key distribution in wireless sensor networks. The author has an hindex of 44, co-authored 241 publications receiving 8628 citations. Previous affiliations of Kay Römer include University of Lübeck & École Polytechnique Fédérale de Lausanne.
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Proceedings ArticleDOI
Estimating packet reception rate in noisy environments
TL;DR: It is shown how a probability distribution function of idle period lengths can be measured using off-the-shelf sensor nodes and used to estimate PRR in dependence of the used packet length, and that relatively short measurement periods provide enough data to obtain accurate predictions.
Journal ArticleDOI
Improving the Timeliness of Bluetooth Low Energy in Dynamic RF Environments
TL;DR: This work proposes a model capturing the timeliness of connection-based BLE communications in noisy RF channels by expressing the impact of radio interference in terms of the number of connection events necessary to complete a successful data transmission (nCE).
Proceedings Article
Mitigating Radio Interference in Large IoT Networks through Dynamic CCA Adjustment
TL;DR: This paper describes how varying the clear channel assessment threshold at run-time using only information computed locally can help to minimize the impact of unintentional interference from surrounding devices and to escape jamming attacks and shows that the use of DynCCA in dense IoT networks can increase the packet reception rate and reduce the energy consumption.
Algorithmic Foundations of Programmable Matter (Dagstuhl Seminar 16271).
TL;DR: The Dagstuhl Seminar 16271 as discussed by the authors brought together researchers from the algorithms community with selected experts from robotics and distributed systems in order to set a solid base for the development of models, technical solutions, and algorithms that can control programmable matter.
Proceedings ArticleDOI
Improving the efficiency and responsiveness of smart objects using adaptive BLE device discovery
TL;DR: An adaptive advertising strategy is designed that allows smart objects to adapt their device discovery parameters to the user behavior and shows that a smart lock using this strategy consumes 48% less energy while reducing the device discovery time by up to 63% compared to the use of static parameters.