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Publications

The following publications have come out of the project:

  1. G. Kakamoukas, P. Sarigiannidis, A. Maropoulos, T. Lagkas, K. Zaralis, and C. Karaiskou, “Towards Climate Smart Farming—A Reference Architecture for Integrated Farming Systems,” Telecom, vol. 2, no. 1, pp. 52–74, Feb. 2021 [Online]. Available: http://dx.doi.org/10.3390/telecom2010005 

  2. Y. Spyridis, T. Lagkas, P. Sarigiannidis, V. Argyriou, A. Sarigiannidis, G. Eleftherakis, and J. Zhang, “Towards 6G IoT: Tracing Mobile Sensor Nodes with Deep Learning Clustering in UAV Networks,” Sensors, vol. 21, no. 11, p. 3936, Jun. 2021 [Online]. Available: http://dx.doi.org/10.3390/s21113936

  3. P. Diamantoulakis, P. Bouzinis, P. Sarigiannidis, Z. Ding and G. G.Karagiannidis, “Optimal Design and Orchestration of Mobile Edge Computing with Energy Awareness,” in IEEE Transactions on Sustainable Computing, doi: 10.1109/TSUSC.2021.3103476.

  4. Pliatsios, Dimitrios & Boulogeorgos, Alexandros-Apostolos & Lagkas, Thomas & Argyriou, Vasileios & Moscholios, Ioannis & Sarigiannidis, Panagiotis. (2021). Semi-Grant-Free Non-Orthogonal Multiple Access for Tactile Internet of Things.

  5. V. Kelli, P. Sarigiannidis, V. Argyriou, T. Lagkas and V. Vitsas, “A Cyber Resilience Framework for NG-IoT Healthcare Using Machine Learning and Blockchain”, ICC 2020 – 2020 IEEE International Conference on Communications (ICC), Virtual, Montreal, 2021, pp. 1-6.

  6. I. Siniosoglou, P. Sarigiannidis, V. Argyriou, T. Lagkas, S. K. Goudos and M. Poveda, “Federated Intrusion Detection In NG-IoT Healthcare Systems: An Adversarial Approach,” ICC 2021 – IEEE International Conference on Communications, 2021, pp. 1-6, doi: 10.1109/ICC42927.2021.9500578

  7.  V. Moysiadis, T. Lagkas, V. Argyriou, A. Sarigiannidis, I. D.Moscholios, and P. Sarigiannidis, “Extending adr mechanism for lora enabled mobile end-devices, ”Simulation Modelling Practice and Theory, vol. 113, p. 102388, 2021. [Online]. Available: https://www.sciencedirect.com/science/article/pii/S1569190X2100095

  8. I. -A. Chousainov, I. D. Moscholios, P. Sarigiannidis and M. D. Logothetis, “Multiservice Loss Models for Cloud Radio Access Networks,” in IEEE Access, vol. 9, pp. 125109-125125, 2021, doi: 10.1109/ACCESS.2021.3105946

  9. Ilias Siniosoglou, Vasileios Argyriou, Stamatia Bibi, Thomas Lagkas, and Panagiotis Sarigiannidis. 2021. Unsupervised Ethical Equity Evaluation of Adversarial Federated Networks. In The 16th International Conference on Availability, Reliability and Security (ARES 2021). Association for Computing Machinery, New York, NY, USA, Article 123, 1–6. DOI:https://doi.org/10.1145/3465481.347047

  10. Kelli, V.; Argyriou, V.;Lagkas,T.; Fragulis,G.; Grigoriou,E.;Sarigiannidis,P. IDS for Industrial Applications: A Federated Learning Approach with Active Personalization. Sensors 2021, 21, 6743. https://doi.org/10.3390/s2120674

  11. Papanikolaou, V. K., Mitsiou, N. A., Diamantoulakis, P. D., Ding, Z., & Karagiannidis, G. K. (2021). Hierarchical Multiple Access (HiMA) for Fog-RAN: Protocol Design and Resource Allocation. IEEE Transactions on Wireless Communications

  12. Sachinidis, A. -A. A. Boulogeorgos and P. Sarigiannidis, “Dual-hop Blockchain Radio Access Networks for Advanced Coverage Expansion,” 2021 10th International Conference on Modern Circuits and Systems Technologies (MOCAST), 2021, pp. 1-5, doi: 10.1109/MOCAST52088.2021.949333

  13. P. Sotiroudis, P. Sarigiannidis, S. K. Goudos and K. Siakavara, “Fusing Diverse Input Modalities for Path Loss Prediction: A Deep Learning Approach,” in IEEE Access, vol. 9, pp. 30441-30451, 2021, doi: 10.1109/ACCESS.2021.3059589.