Eleftherios Stergiou

Dr. Eleftherios Stergiou


Research Focus & Metrics

Academic Career Length

9Years (2018-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 August 2021 in Electronics
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Journal Article
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LSLambros Sakkas
Lambros Sakkas
ESEleftherios Stergiou
Eleftherios Stergiou
Georgios TsoumanisGeorgios Tsoumanis
Georgios Tsoumanis
Constantinos AngelisConstantinos Angelis
Constantinos Angelis
5G is the latest mobile communications standard that is spreading fast across the world. Recently defined requirements for 5G systems have led to higher applications’ requirements regarding data rates, lower requirements for latency, and higher efficiency regarding the spectrum usage. Universal Filtered Multi-Carrier (UFMC) is one new candidate modulation scheme for emergent Fifth Generation (5G) communication systems. This paper focuses on Universal Filtered Multi-Carrier (UFMC) design aspects in terms of Bit Error Rate (BER) performance in relation to the filter length used in subband filtering. Simulation results show that BER and CCDF performance varies for different filter lengths and modulation schemes. The main achievement of this work is that the results show that different Dolph–Chebyshev FIR filter lengths do not affect the BER performance both for the 64 and 256 QAM.

28 August 2023 in Information
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Journal Article
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IKIoannis Koulouras
Ioannis Koulouras
IBIlias Bobotsaris
Ilias Bobotsaris
SMSpiridoula Margariti
Spiridoula Margariti
ESEleftherios Stergiou
Eleftherios Stergiou
Chrysostomos StyliosChrysostomos Stylios
Chrysostomos Stylios
Software-defined network (SDN) technology can offer wireless networks the advantages of simplified control and network management. This SDN subdomain technology is called the software-defined wireless network (SDWN). In this study, the performance of four controllers in an SDWN environment is assessed, since the controller is the most significant component of the entire network. Using the Mininet-WiFi platform, the performance of each controller is evaluated in terms of throughput, latency, jitter, and packet loss. Moreover, a multi-criteria evaluation is introduced and applied to provide a fair comparison between SDWNs. This study provides an appropriate configuration of SDWNs that is useful for network engineering and can be used for SDWNs performance optimization.

19 September 2024 in Future Internet
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SMSpiridoula Margariti
Spiridoula Margariti
Ioannis TsoulosIoannis Tsoulos
Ioannis Tsoulos
EKEvangelia Kiousi
Evangelia Kiousi
ESEleftherios Stergiou
Eleftherios Stergiou
The classification of Software-Defined Networking (SDN) traffic is an essential tool for network management, network monitoring, traffic engineering, dynamic resource allocation planning, and applying Quality of Service (QoS) policies. The programmability nature of SDN, the holistic view of the network through SDN controllers, and the capability for dynamic adjustable and reconfigurable controllersare fertile ground for the development of new techniques for traffic classification. Although there are enough research works that have studied traffic classification methods in SDN environments, they have several shortcomings and gaps that need to be further investigated. In this study, we investigated traffic classification methods in SDN using publicly available SDN traffic trace datasets. We apply a series of classifiers, such as MLP (BFGS), FC2 (RBF), FC2 (MLP), Decision Tree, SVM, and GENCLASS, and evaluate their performance in terms of accuracy, detection rate, and precision. Of the methods used, GenClass appears to be more accurate in separating the categories of the problem than the rest, and this is reflected in both precision and recall. The key element of the GenClass method is that it can generate classification rules programmatically and detect the hidden associations that exist between the problem features and the desired classes. However, Genetic Programming-based techniques require significantly higher execution time compared to other machine learning techniques. This is most evident in the feature construction method where at each generation of the genetic algorithm, a set of learning models is required to be trained to evaluate the generated artificial features.

12 August 2018 in International Journal of Communication Systems
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ESEleftherios Stergiou
Eleftherios Stergiou
JGJohn Garofalakis
John Garofalakis

18 July 2020 in International Journal of Parallel, Emergent and Distributed Systems
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Journal Article
Open access
ESEleftherios Stergiou
Eleftherios Stergiou
Multistage interconnection networks (MINs) provide critical communication resources between network components with an attractive cost/performance relation. In this paper, a novel architecture for a MIN is proposed. In contrast to other existing networks, this new architecture operates via wormhole routing using a multi-lane equivalent-weighted fair queuing system. Associating the lane storage with each physical channel for movement of the flits allows for high levels of packet flow and makes the system more robust. The resulting flit scheduling schema has been studied thoroughly, and the results are presented in this manuscript. In addition to performance metrics, additional factors such as complexity, cost and reliability are investigated. Since a basic aim of the design of MINs is to achieve a good data flow control mechanism, this proposal is an extremely effective and robust solution. The rationale behind this innovative scheme is to introduce a more efficient network technology, thus providing a better quality of service (i.e. streaming media vs. file transfer).

1 July 2024 in Journal of Engineering Research and Sciences
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Journal Article
Open access
NONikolaos V. Oikonomou
Nikolaos V. Oikonomou
DODimitrios V. Oikonomou
Dimitrios V. Oikonomou
ESEleftherios Stergiou
Eleftherios Stergiou
DLDimitrios Liarokapis
Dimitrios Liarokapis
Comprehensive Analysis of Software-Defined Networking: Evaluating Performance Across Diverse Topologies and Investigating Topology Discovery Protocols by Nikolaos V. Oikonomou 1,* , Dimitrios V. Oikonomou 2 Eleftherios Stergiou 1 Dimitrios Liarokapis 1 1 Department of Informatics & Telecommunications, University of Ioannina, Arta,47150, Greece 2 Department of Regional & Cross Border Studies, University of Western Macedonia, … Continue reading "Comprehensive Analysis of Software-Defined Networking: Evaluating Performance Across Diverse Topologies and Investigating Topology Discovery Protocols"