P
Piet Demeester
Researcher at Ghent University
Publications - 923
Citations - 11785
Piet Demeester is an academic researcher from Ghent University. The author has contributed to research in topics: Quality of service & Wireless network. The author has an hindex of 48, co-authored 912 publications receiving 11230 citations.
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Multilayer traffic engineering for energy efficiency
TL;DR: This article looks how MLTE helps in improving network energy efficiency, and explains how optimization toward power requirement relates to the traditional resource usage minimization objective, and how power requirement in the network can be modeled for the MLTE algorithm.
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HFC Access Network Design for Switched Broadcast TV Services
TL;DR: An access network design tool is presented, based on an analytical TV traffic model, minimizing the installation cost on the edge devices and study the influence of the most important traffic and content parameters.
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Interest based selection of user generated content for rich communication services
Matthias Strobbe,Olivier Van Laere,Samuel Dauwe,Bart Dhoedt,Filip De Turck,Piet Demeester,Christof van Nimwegen,Jeroen Vanattenhoven +7 more
TL;DR: Two models representing user profiles are presented, both based on keywords and with the goal to enrich real-time communication services, indicating that the algorithms succeed in retrieving content matching the user's interests and both models exhibit a linear scaling behavior.
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Strategies and Challenges for Interconnecting Wireless Mesh and Wireless Sensor Networks
TL;DR: It is argued that the use of convergence layers and the development of adaptive network protocols is a promising approach to enable low end devices to participate in heterogeneous network architectures.
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A Cytoscape app for motif enumeration with ISMAGS.
Thomas Van Parys,Ine Melckenbeeck,Maarten Houbraken,Pieter Audenaert,Didier Colle,Mario Pickavet,Piet Demeester,Yves Van de Peer +7 more
TL;DR: A Cytoscape app is presented for the ISMAGS algorithm, which can enumerate all instances of a motif in a graph, making optimal use of the motif's symmetries to make the search more efficient.