Publications

A Survey on the Computing Continuum and Meta-Operating Systems: Perspectives, Architectures, Outcomes, and Open Challenges

Authors: P. Gkonis, A. Giannopoulos, N. Nomikos, L. Sarakis, V. Nikolakakis, G-D. Patsourakis, P. Trakadas

Journal: Sensors

Details: Vol. 26, No. 3, pp. 799

Publisher: MDPI

Year: 2026

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A Distributed Trustable Framework for AI-Aided Anomaly Detection

Authors: N. Nomikos, G. Xylouris, G. Patsourakis, V. Nikolakakis, A. Giannopoulos, C. Mandilaris, P. Gkonis, C. Skianis, P. Trakadas

Journal: Electronics

Details: Vol. 14, No. 3, pp. 410

Publisher: MDPI

Year: 2025

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A FinTech-Aligned Optimization Framework for IoT-Enabled Smart Agriculture to Mitigate Greenhouse Gas Emissions

Authors: S. Polymeni, D. N. Skoutas, G. Kormentzas, C. Skianis

Journal: Information

Details: Vol. 16, No. 9, pp. 797

Publisher: MDPI

Year: 2025

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A Survey on Architectural Approaches for 6G Networks: Implementation Challenges, Current Trends, and Future Directions

Authors: P. Gkonis, A. Giannopoulos, N. Nomikos, P. Trakadas, L. Sarakis, X. Masip

Journal: Telecom

Details: Vol. 6, No. 2, pp. 27

Publisher: MDPI

Year: 2025

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A Survey on UxV Swarms and the Role of Artificial Intelligence as a Technological Enabler

Authors: A. Dimos, D. N. Skoutas, N. Nomikos, C. Skianis

Journal: Drones

Details: Vol. 9, No. 10, pp. 700

Publisher: MDPI

Year: 2025

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Active, Passive, and Absorptive RIS-Aided 6G Network Under Non-Orthogonal CCI

Authors: V. Ozduran, E. Nasab, N. Nomikos, I. Ansari, P. Trakadas

Journal: Open Journal of Vehicular Technology

Details: Vol. 6, pp. 2644-1330

Publisher: IEEE

Year: 2025

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FLUID: Dynamic Model-Agnostic Federated Learning with Pruning and Knowledge Distillation for Maritime Predictive Maintenance

Authors: A. Kalafatelis, A. Pitsiakou, N. Nomikos, N. Tsoulakos, T. Syriopoulos, P. Trakadas

Journal: Journal of Marine Science and Engineering

Details: Vol. 13, No. 6, pp. 1569

Publisher: MDPI

Year: 2025

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From 6G to SeaX-G: Integrated 6G TN/NTN for AI-Assisted Maritime Communications - Architecture, Enablers, and Optimization Problems

Authors: A. Giannopoulos, P. Gkonis, A. Kalafatelis, N. Nomikos, S. Spantideas, P. Trakadas, T. Syriopoulos

Journal: Journal of Marine Science and Engineering

Details: Vol. 13, No. 6, pp. 1103

Publisher: MDPI

Year: 2025

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M‐SADR: Mobile Self Adaptive Data Rate for Enhanced LoRa End‐Device Connectivity on the Move

Authors: V. Moysiadis, P. Radoglou‐Grammatikis, E. Mourikis, M. Zevgara, D. N. Skoutas, C. Skianis, P. Sarigiannidis

Journal: International Journal of Communication Systems

Details: Vol. 38, No. 15

Publisher: Wiley

Year: 2025

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Towards predictive maintenance in the maritime industry: A component-based overview

Authors: A. Kalafatelis, N. Nomikos, A. Giannopoulos, G. Alexandridis, A. Karditsa, P. Trakadas

Journal: Journal of Marine Science and Engineering

Details: Vol. 13, No. 3, pp. 425

Publisher: MDPI

Year: 2025

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"A Versatile, Low-Cost Monitoring Device suitable for Non-Intrusive Load Monitoring Research Purposes"

Authors: S. Kotsilitis, E. C. Marcoulaki, E. Kalligeros

Journal: Measurement: Sensors

Details: Vol. 32, pp. 101081

Publisher: Elsevier

Year: 2024

Abstract

Energy systems monitoring is a key factor in reducing global energy consumption. Although intrusive approaches can be adopted, Non-Intrusive Load Monitoring (NILM), which targets estimation of individual-appliance consumption from aggregated electricity measurements, is the main choice for retrofitting the plethora of non-smart electrical installations. Contemporary NILM requirements include high-frequency power-line sampling, efficient disaggregation algorithms that can, potentially, run locally, on the monitoring device, to offload the remote fog/cloud infrastructure, and various open datasets to allow the development of such algorithms. Towards all these directions, in this paper, a versatile monitoring device to support NILM research is presented. It offers high sampling frequency, sufficiency of local resources, and has been designed to be used in different environments (residential, commercial, industrial). Actually, it was deployed in all these environments, with multiple copies of it being used in two different industrial facilities for over two years. The developed device’s cost has been kept low, its accuracy has been experimentally verified to be sufficiently high, while its key hardware characteristics, in the context of NILM research, compare favorably with those of other devices in the literature. Along with the device, a residential, high-frequency dataset is also presented and made publicly available.

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A stochastic geometry-based performance analysis of a UAV corridor-assisted IoT network

Authors: H. K. Armeniakos, K. Maliatsos, P. Bithas, A. G. Kanatas

Journal: Frontiers in Communications and Networks

Publisher: Frontiers

Year: 2024

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Achievable Secrecy Rate Analysis of OFDM-Based Multi-User Untrusted Relay Networks with Imperfect CSI

Authors: V. Ozduran, N. Nomikos, I. Ansari

Journal: Transactions on Emerging Telecommunications Technologies

Details: Vol. 35, No. 6

Publisher: Wiley

Year: 2024

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Bandit-Based Learning-Aided Full-Duplex/Half-Duplex Mode Selection in 6G Cooperative Relay Networks

Authors: N. Nomikos, T. Charalambous, P. Trakadas, R. Wichman

Journal: Open Journal of the Communications Society

Details: Vol. 5, pp. 1415-1429

Publisher: IEEE

Year: 2024

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Combining serious games and machine learning to assess the cognitive state of seniors using the cogniplat platform

Authors: G. Skikos, C. Goumopoulos, J. Ferras

Journal: Journal of Ambient Intelligence and Humanized Computing

Year: 2024

Combining Serious Games and Machine Learning to Assess the Cognitive State of Seniors Using the Cogniplat Platform

Authors: G. Skikos, C. Goumopoulos

Journal: Journal of Ambient Intelligence and Humanized Computing

Publisher: Springer

Year: 2024

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Federated Learning for Maritime Environments: Use Cases, Experimental Results, and Open Issues

Authors: A. Giannopoulos, P. Gkonis, P. Bithas, N. Nomikos, A. Kalafatelis, P. Trakadas

Journal: Journal of Marine Science and Engineering

Details: Vol. 12, No. 6

Publisher: MDPI

Year: 2024

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Federated Learning-Aided Prognostics in the Shipping 4.0: Principles, Workflow, and Use Cases

Authors: A. Angelopoulos, A. Giannopoulos, N. Nomikos, A. Kalafatelis, A. Hatziefremidis, P. Trakadas

Journal: Access

Details: Vol. 12, pp. 6437-6454

Publisher: IEEE

Year: 2024

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FedShip: Federated Over-the-Air Learning for Communication-Efficient and Privacy-Aware Smart Shipping in 6G Communications

Authors: A. Giannopoulos, S. Spantideas, M. Zetas, N. Nomikos, P. Trakadas

Journal: Transactions on Intelligent Transportation Systems

Publisher: IEEE

Year: 2024

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Improving Connectivity in 6G Maritime Communication Networks with UAV Swarms

Authors: N. Nomikos, A. Giannopoulos, A. Kalafatelis, V. Ozduran, P. Trakadas, G. K. Karagiannidis

Journal: Access

Details: Vol. 12, pp. 18739-18751,

Publisher: IEEE

Year: 2024

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Joint Energy and SINR Coverage Probability in UAV Corridor-assisted RF-powered IoT Networks

Authors: H. K. Armeniakos, P. Bithas, K. Maliatsos, A. G. Kanatas

Journal: IEEE Communications Letters

Publisher: IEEE

Year: 2024

Joint Sensing and Communications in Unmanned-Aerial-Vehicle-Assisted Systems

Authors: P. Bithas, G. Efthymoglou, A. G. Kanatas, K. Maliatsos

Journal: Drones 2024

Details: Vol. 8, No. 11

Publisher: mdpi

Year: 2024

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Leveraging Network Data Analytics Function and Machine Learning for Data Collection, Resource Optimization

Authors: P. Gkonis, N. Nomikos, P. Trakadas, L. Sarakis, G. Xylouris, X. Masip, J. Martrat

Journal: Access

Details: Vol. 12, pp. 21320-21336

Publisher: IEEE

Year: 2024

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Non-Terrestrial Networks for Energy-Efficient Connectivity of Remote IoT Devices in the 6G Era: A Survey

Authors: S.Plastras, D. Tsoumatidis, D. N. Skoutas, A. Rouskas, G. Kormentzas, C. Skianis

Journal: Sensors

Details: Vol. 24, No. 4, pp. 40

Publisher: MDPI

Year: 2024

Abstract

The Internet of Things (IoT) is gaining popularity and market share, driven by its ability to connect devices and systems that were previously siloed, enabling new applications and services in a cost-efficient manner. Thus, the IoT fuels societal transformation and enables groundbreaking innovations like autonomous transport, robotic assistance, and remote healthcare solutions. However, when considering the Internet of Remote Things (IoRT), which refers to the expansion of IoT in remote and geographically isolated areas where neither terrestrial nor cellular networks are available, internet connectivity becomes a challenging issue. Non-Terrestrial Networks (NTNs) are increasingly gaining popularity as a solution to provide connectivity in remote areas due to the growing integration of satellites and Unmanned Aerial Vehicles (UAVs) with cellular networks. In this survey, we provide the technological framework for NTNs and Remote IoT, followed by a classification of the most recent scientific research on NTN-based IoRT systems. Therefore, we provide a comprehensive overview of the current state of research in IoRT and identify emerging research areas with high potential. In conclusion, we present and discuss 3GPP’s roadmap for NTN standardization, which aims to establish an energy-efficient IoRT environment in the 6G era.

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On the Interplay between Deadline-Constrained Traffic and the Number of Allowed Retransmissions in Random Access Networks

Authors: N. Nomikos, T. Charalambous, R. Wichman, Y. A. Pignolet, N Pappas

Journal: Entropy

Details: Vol. 26, No. 8

Publisher: MDPI

Year: 2024

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On the leakage-rate performance of untrusted relay-aided NOMA under co-channel interference

Authors: V. Ozduran, N. Nomikos

Journal: Telecommunication Systems

Details: Vol. 85, pp. 67-86

Publisher: Springer Nature

Year: 2024

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On the Performance of Uplink Power-Domain NOMA with Imperfect CSI and SIC in 6G Networks

Authors: V. Ozduran, M. Mohammadi, N. Nomikos, I. Ansari, P. Trakadas

Journal: Journal of Communications and Networks

Details: Vol. 26, No. 4, pp. 445-460

Publisher: IEEE/KICS

Year: 2024

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Performance analysis of inverse successive interference cancellation in NOMA-based communications

Authors: V. Ozduran, N. Nomikos

Journal: Wireless Networks

Details: Vol. 30, pp. 1893–1907

Publisher: Springer Nature

Year: 2024

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Relay-Aided Uplink NOMA Under Non-Orthogonal CCI and Imperfect SIC in 6G Networks, Open Journal of Vehicular Technology

Authors: V. Ozduran, N. Nomikos, E. Nasab, I. Ansari, P. Trakadas

Journal: Open Journal of Vehicular Technology

Details: Vol. 5, pp. 658-680

Publisher: IEEE

Year: 2024

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Sailing into the Future: Technologies, Challenges, and Opportunities for Maritime Communication Networks in the 6G Era

Authors: G. Xylouris, N. Nomikos, A. Kalafatelis, A. Giannopoulos, S. Spantideas, P. Trakadas

Journal: Frontiers in Communications and Networks

Details: Vol. 5

Publisher: Frontiers

Year: 2024

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Smart Agriculture and Greenhouse Gas Emission Mitigation: A 6G-IoT Perspective

Authors: S. Polymeni, D. N. Skoutas, P. Sarigiannidis, G. Kormentzas, C. Skianis

Journal: Electronics

Details: Vol. 13, No. 8, pp. 1480

Publisher: MDPI

Year: 2024

Abstract

Smart farming has emerged as a promising approach to address the agriculture industry’s significant contribution to greenhouse gas (GHG) emissions. However, the effectiveness of current smart farming practices in mitigating GHG emissions remains a matter of ongoing debate. This review paper provides an in-depth examination of the current state of GHG emissions in smart farming, highlighting the limitations of existing practices in reducing GHG emissions and introducing innovative strategies that leverage the advanced capabilities of 6G-enabled IoT (6G-IoT). By enabling precise resource management, facilitating emission source identification and mitigation, and enhancing advanced emission reduction techniques, 6G-IoT integration offers a transformative solution for managing GHG emissions in agriculture. However, while smart agriculture focuses on technological applications for immediate efficiency gains, it also serves as a crucial component of sustainable agriculture by providing the tools necessary for long-term environmental supervision and resource sustainability. As a result, this study also contributes to sustainable agriculture by providing insights and guiding future advancements in smart farming, particularly in the context of 6G-IoT, to develop more effective GHG mitigation strategies for smart farming applications, promoting a more sustainable agricultural future.

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Software-Defined Radio Deployments in UAV-Driven Applications: A Comprehensive Review

Authors: E. T. Michailidis, K. Maliatsos, D. Vouyioukas

Journal: Open Journal of Vehicular Technology

Details: Vol. 5, pp. 1545-1586

Publisher: IEEE

Year: 2024

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"An Efficient Lightweight Event Detection Algorithm for On-Site Non-Intrusive Load Monitoring"

Authors: S. Kotsilitis, E. Kalligeros, E. C. Marcoulaki, I. G. Karybali

Journal: IEEE Transactions on Instrumentation and Measurement

Details: Vol. 72

Year: 2023

Abstract

Non-Intrusive Load Monitoring (NILM) aims to determine individual-appliance energy consumption with minimum cost, by decomposing aggregated electricity measurements. Although important for achieving energy conservation and cost minimization, NILM requires high-frequency sampling rates to provide accurate results. This requirement significantly increases the need for storage and computational resources in the electric utility’s fog/ cloud infrastructure, and for bandwidth on the customer’s side. To resolve these issues, on-site disaggregation, i.e., on the monitoring device, can be employed. However, to keep device-cost low, lightweight NILM algorithms are needed. To this end, a lightweight event-detection algorithm designed to ease on-site implementation, on either software or hardware, is proposed. Event detection is the first, critical half of the well-established event-based NILM approach; it identifies appliance state changes (events). Although a few lightweight event-detection techniques, utilizing high-frequency data, have been presented in the literature, their performance is relatively low in complex-load cases. The proposed algorithm utilizes simple-to-compute features and employs multiple simple criteria to declare an event as detected, and slope-coefficient inspection to identify steady states. Moreover, it can detect events with very small time difference between them. Comparisons show that its performance is superior even against more complex event-detection approaches, while its low computational cost is also verified.

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A Machine Learning based Motor and Cognitive Assessment Tool Using in-Game Data from the GAME2AWE Platform

Authors: M. Danousis, C. Goumopoulos

Journal: Informatics

Details: Vol. 10, No. 3

Publisher: MDPI

Year: 2023

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A Survey on UAV-Aided Maritime Communications: Deployment Considerations, Applications, and Future Challenges

Authors: N. Nomikos, P. Gkonis, P. Bithas, P. Trakadas

Journal: Open Journal of the Communications Society

Details: Vol. 4, pp. 56-78

Publisher: IEEE

Year: 2023

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A Systematic Review on Semantic Interoperability in the IoE-enabled Smart Cities

Authors: A. Platsios, K. Kotis, C. Goumopoulos

Journal: Internet of Things

Publisher: Elsevier

Year: 2023

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Empowering 6G Maritime Communications with Distributed Intelligence and Over-the-Air Model Sharing

Authors: M. Zetas, S. Spantideas, A. Giannopoulos, N. Nomikos, P. Trakadas

Journal: Frontiers in Communications and Networks

Details: Vol. 4

Publisher: Frontiers

Year: 2023

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Feasibility and Acceptance of Augmented and Virtual Reality Exergames to Train Motor and Cognitive Skills of Elderly

Authors: C. Goumopoulos, E. Drakakis, G. Dimitrios

Journal: Computers

Details: Vol. 12, No. 3

Publisher: MDPI

Year: 2023

Abstract

The GAME2AWE platform aims to provide a versatile tool for elderly fall prevention through exergames that integrate exercises, and simulate real-world environments and situations to train balance and reaction time using augmented and virtual reality technologies. In order to lay out the research area of interest, a review of the literature on systems that provide exergames for the elderly utilizing such technologies was conducted. The proposed use of augmented reality exergames on mobile devices as a complement to the traditional Kinect-based approach is a method that has been examined in the past with younger individuals in the context of physical activity interventions, but has not been studied adequately as an exergame tool for the elderly. An evaluation study was conducted with seniors, using multiple measuring scales to assess aspects such as usability, tolerability, applicability, and technology acceptance. In particular, the Unified Theory of Acceptance and Use of Technology (UTAUT) model was used to assess acceptance and identify factors that influence the seniors’ intentions to use the game platform in the long term, while the correlation between UTAUT factors was also investigated. The results indicate a positive assessment of the above user experience aspects leveraging on both qualitative and quantitative collected data.

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Feasibility and Effects of Cognitive Training with the COGNIPLAT Game Platform in Elderly with Mild Cognitive Impairment: Pilot Randomized Controlled Trial

Authors: C. Goumopoulos, G. Skikos, M. Frounta

Journal: Games for Health Journal

Publisher: Mary Ann Liebert, Inc.

Year: 2023

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Human fall detection using mmWave radars: a cluster-assisted experimental approach

Authors: H. K. Armeniakos, V. Nikolaidis, V. Tsekenis, K. Maliatsos, P. Bithas, A. G. Kanatas

Journal: Journal of Ambient Intelligence and Humanized Computing

Details: Vol. 14, pp. 11657–11669

Publisher: Springer

Year: 2023

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Performance Analysis of Uplink Non-Orthogonal Multiple Access in the Presence of Co-Channel Interference

Authors: V. Ozduran, I. Ansari, M. Mohammadi, N. Nomikos

Journal: Transactions on Vehicular Technology

Details: Vol. 72, No. 9, pp. 11590-11602

Publisher: IEEE

Year: 2023

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S2NetM: A Semantic Social Network of Things Middleware for Developing Smart and Collaborative IoT-Based Solutions

Authors: A. Platsios, D. Lymperis, C. Goumopoulos

Journal: Future Internet

Details: Vol. 15, No. 6

Publisher: MDPI

Year: 2023

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SEDIA: A Platform for Semantically Enriched IoT Data Integration and Development of Smart City Applications

Authors: D. Lymperis, C. Goumopoulos

Journal: Future Internet

Details: Vol. 15, No. 8

Publisher: MDPI

Year: 2023

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Smart City Middleware: A Survey and a Conceptual Framework

Authors: C. Goumopoulos

Journal: IEEE Access

Publisher: IEEE

Year: 2023

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The Impact of 6G-IoT Technologies on the Development of Agriculture 5.0: A Review

Authors: S. Polymeni, S.Plastras, D. N. Skoutas, G. Kormentzas, C. Skianis

Journal: Electronics

Details: Vol. 12, No. 12, pp. 24

Publisher: MDPI

Year: 2023

Abstract

Throughout human history, agriculture has undergone a series of progressive transfor-
mations based on ever-evolving technologies in an effort to increase productivity and profitability.
Over the years, farming methods have evolved significantly, progressing from Agriculture 1.0, which
relied on primitive tools, to Agriculture 2.0, which incorporated machinery and advanced farming
practices, and subsequently to Agriculture 3.0, which emphasized mechanization and employed
intelligent machinery and technology to enhance productivity levels. To further automate and
increase agricultural productivity while minimizing agricultural inputs and pollutants, a new ap-
proach to agricultural management based on the concepts of the fourth industrial revolution is being
embraced gradually. This approach is referred to as “Agriculture 4.0” and is mainly implemented
through the use of Internet of Things (IoT) technologies, enabling the remote control of sensors and
actuators and the efficient collection and transfer of data. In addition, fueled by technologies such
as robotics, artificial intelligence, quantum sensing, and four-dimensional communication, a new
form of smart agriculture, called “Agriculture 5.0,” is now emerging. Agriculture 5.0 can exploit
the growing 5G network infrastructure as a basis. However, only 6G-IoT networks will be able
to offer the technological advances that will allow the full expansion of Agriculture 5.0, as can be
inferred from the relevant scientific literature and research. In this article, we first introduce the
scope of Agriculture 5.0 as well as the key features and technologies that will be leveraged in the
much-anticipated 6G-IoT communication systems. We then highlight the importance and influence
of these developing technologies in the further advancement of smart agriculture and conclude with
a discussion of future challenges and opportunities.

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