G
George Papastergiou
Publications - 4
Citations - 73
George Papastergiou is an academic researcher. The author has contributed to research in topics: Engineering & Heuristics. The author has an hindex of 3, co-authored 3 publications receiving 67 citations.
Papers
More filters
Journal ArticleDOI
Technologies for Cost-Effective udWDM-PONs
Josep Prat,Ivan N. Cano,Marco Presi,Ioannis Tomkos,Dimitrios Klonidis,Gemma Vall-Llosera,Romain Brenot,Robert Pous,George Papastergiou,Albert Rafel,Ernesto Ciaramella +10 more
TL;DR: In this article, an ultradense WDM-PON with only 6.25 GHz channel spacing is implemented with conventional DFB lasers, for a splitter-based PON infrastructure with 256 ONUs.
Proceedings ArticleDOI
COCONUT cost, power consumption and migration analysis: A route towards NG-PON3
Gemma Vall-Llosera,Albert Rafel,Neil Parkin,M. Angelou,Dimitrios Klonidis,Ivan N. Cano,Marco Presi,George Papastergiou,Ioannis Tomkos,Josep Prat,Ernesto Ciaramella +10 more
TL;DR: In this paper, the authors present the analysis of the COCONUT (COst effective COhereNt Ultra-dense-WDM-PON for λ-to-the-user access) project architectures with respect to their associated cost, power consumption and migration scenarios.
Advanced Hybrid Integrated Transceivers to Realize Flexible Terabit Networking
Panagiotis Zakynthinos,Gabriella Cincotti,Moshe Nazarathy,Ronald Kaiser,P. Bayvel,Robert I. Killey,M. Angelou,S. B. Ezra,M. Irion,Alex Tolmachev,B. Gomez Saavedra,Julian Hoxha,V. Grundlehner,Nicholas D. Psaila,G. Vollrath,Roberto Magri,George Papastergiou,Ioannis Tomkos,Optronics Technologies,Nes Ziona +19 more
Journal ArticleDOI
Sensor Topology Optimization in Dense IoT Environments by Applying Neural Network Configuration
George Papastergiou,Apostolos Xenakis,Costas Chaikalis,Dimitrios Kosmanos,Periklis Chatzimisios,Nicholas S. Samaras +5 more
TL;DR: In this paper , a topology control and lifetime extension problem regarding sensor placement, under coverage and energy constraints, is formulated and solved by applying and testing several neural network configurations, and the neural network dynamically proposes and handles sensor placement coordinates in a 2D plane, having the ultimate goal to extend network lifetime.