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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. Available at: 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 at: 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, Available at: 10.1109/TSUSC.2021.3103476.

  4. D. Pliatsios, A. -A. A. Boulogeorgos, T. Lagkas, V. Argyriou, I. D. Moscholios and P. Sarigiannidis, “Semi-Grant-Free Non-Orthogonal Multiple Access for Tactile Internet of Things,” 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), 2021, pp. 1389-1394, doi: 10.1109/PIMRC50174.2021.9569640.

  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, Available at: 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. doi: simpat.2021.102388

  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:10.1145/3465481.3470478

  10. V. Kelli, V. Argyriou, T. Lagkas, G. Fragulis, E. Grigoriou, and P. Sarigiannidis, “IDS for Industrial Applications: A Federated Learning Approach with Active Personalization,” Sensors, vol. 21, no. 20. MDPI AG, p. 6743, Oct. 11, 2021. doi:10.3390%2Fs21206743

  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. T. 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/MOCAST52088.2021.9493339

  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.

  14. P. Radoglou-Grammatikis, T. Lagkas and  P. Sarigiannidis,  “Next Generation IoT Reference Solution: The TERMINET Project”, in Open Access Goverment, January 2022, pp. 256-257.  Available Online

  15. I. Siniosoglou, V. Argyriou, T. Lagkas, A. Tsiakalos, A. Sarigiannidis and P. Sarigiannidis, “Covert Distributed Training of Deep Federated Industrial Honeypots,” 2021 IEEE Globecom Workshops (GC Wkshps), 2021, pp. 1-6, doi: 10.1109/GCWkshps52748.2021.9682162.
  16. A. Sabbioni, L. Rosa, A. Bujari, L. Foschini, and A. Corradi, “DIFFUSE: A DIstributed and decentralized platForm enabling Function composition in Serverless Environments,” Computer Networks, vol. 210, p. 108993, Jun. 2022, doi: 10.1016/j.comnet.2022.108993.
  17. D. Pliatsios, S. K. Goudos, T. Lagkas, V. Argyriou, A. -A. A. Boulogeorgos and P. Sarigiannidis, “Drone-Base-Station for Next-Generation Internet-of-Things: A Comparison of Swarm Intelligence Approaches,” in IEEE Open Journal of Antennas and Propagation, vol. 3, pp. 32-47, 2022, doi: 10.1109/OJAP.2021.3133459.
  18. D. Pliatsios et al., “A Hybrid RF-FSO Offloading Scheme for Autonomous Industrial Internet of Things,” IEEE INFOCOM 2022 – IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2022, pp. 1-6, doi: 10.1109/INFOCOMWKSHPS54753.2022.9798011.
  19. P. S. Bouzinis, P. D. Diamantoulakis, and G. K. Karagiannidis, “Incentive-Based Delay Minimization for 6G-Enabled Wireless Federated Learning,” Frontiers in Communications and Networks, vol. 3., Frontiers Media SA,, 2022. doi: 10.3389/frcmn.2022.82710
  20. S. A. Tegos, D. Tyrovolas, P. D. Diamantoulakis, C. K. Liaskos and G. K. Karagiannidis, “On the Distribution of the Sum of Double-Nakagami-m Random Vectors and Application in Randomly Reconfigurable Surfaces,” in IEEE Transactions on Vehicular Technology, Early Access, 2022. doi: 10.1109/TVT.2022.3164846
  21. D. Pliatsios, P. Sarigiannidis, T. Lagkas, V. Argyriou, A. -A. A. Boulogeorgos and P. Baziana, “Joint Wireless Resource and Computation Offloading Optimization for Energy Efficient Internet of Vehicles,” in IEEE Transactions on Green Communications and Networking, Early Access, Jul. 2022, doi: 10.1109/TGCN.2022.3189413.