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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.
  22. A. Liatifis, P. Sarigiannidis, V. Argyriou, and T. Lagkas, “Advancing SDN: from OpenFlow to P4, a Survey,” ACM Computing Surveys. Association for Computing Machinery (ACM), Aug. 26, 2022. doi: 10.1145/3556973

  23. Jiang, C. Soriente, and G. Karame, “On the Challenges of Detecting Side-Channel Attacks in SGX,” 25th International Symposium on Research in Attacks, Intrusions and Defenses. ACM, Oct. 26, 2022. doi: http://dx.doi.org/10.1145/3545948.3545972

  24. Tyrovolas, S. A. Tegos, P. D. Diamantoulakis, and G. K. Karagiannidis, “Synergetic UAV-RIS Communication With Highly Directional Transmission,” IEEE Wireless Communications Letters, vol. 11, no. 3. Institute of Electrical and Electronics Engineers (IEEE), pp. 583–587, Mar. 2022. doi: http://dx.doi.org/10.1109/LWC.2021.3136912
  25. Diamantoulaki, P. D. Diamantoulakis, P. S. Bouzinis, P. Sarigiannidis, and G. K. Karagiannidis, “Health Risk Assessment with Federated Learning,” 2022 International Balkan Conference on Communications and Networking (BalkanCom). IEEE, Aug. 22, 2022. doi: http://dx.doi.org/10.1109/BalkanCom55633.2022.9900733
  26. Triantafyllou, D. Zorbas, and P. Sarigiannidis, “Time-slotted LoRa MAC with variable payload support,” Computer Communications, vol. 193. Elsevier BV, pp. 146–154, Sep. 2022. doi: http://dx.doi.org/10.1016/j.comcom.2022.06.043
  27. A. Mitsiou, P. N. Gavriilidis, P. D. Diamantoulakis, and G. K. Karagiannidis, “Wireless Powered Multi-Access Edge Computing with Slotted ALOHA,” IEEE Communications Letters. Institute of Electrical and Electronics Engineers (IEEE), pp. 1–1, 2022. doi: http://dx.doi.org/10.1109/LCOMM.2022.3211190
  28. Simos, P. S. Bouzinis, P. D. Diamantoulakis, P. Sarigiannidis, and G. K. Karagiannidis, “Hierarchical Federated Learning for the Next Generation IoT,” 2022 18th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob). IEEE, Oct. 10, 2022 [Online]. Available: doi: http://dx.doi.org/10.1109/WiMob55322.2022.9941355
  29. Kolokotronis, M. Dareioti, S. Shiaeles, and E. Bellini, “An Intelligent Platform for Threat Assessment and Cyber-Attack Mitigation in IoMT Ecosystems,” 2022 IEEE Globecom Workshops (GCWkshps).IEEE, Dec. 04, 2022 doi: http://dx.doi.org/10.1109/GCWkshps56602.2022.10008548 
  30. S. Bouzinis, N. A. Mitsiou, P. D. Diamantoulakis, D. Tyrovolas, and G. K. Karagiannidis, “Intelligent Over-the-Air Computing Environment,” IEEE Wireless Communications Letters, vol. 12, no. 1. Institute of Electrical and Electronics Engineers (IEEE), pp. 134–137, Jan. 2023. doi: http://dx.doi.org/10.1109/LWC.2022.3219250
  31. Tyrovolas, P.-V. Mekikis, S. A. Tegos, P. D. Diamantoulakis, C. K. Liaskos, and G. K. Karagiannidis, “Energy-Aware Design of UAV-mounted RIS Networks for IoT Data Collection,” IEEE Transactions on Communications. Institute of Electrical and Electronics Engineers (IEEE), pp. 1–1, 2022. doi: http://dx.doi.org/10.1109/TCOMM.2022.3229672
  32. Siachamis, Ch. Kaliakatsos, G. Stavropoulos, K. Votis, D. Ioannidis, a nd D. Tzovaras ” A Decentralized Secured Data sharing Framework for IoT Networks CERTH,” 2022 IEEE 8th World Forum on Internet of Things (WF-IoT), Yokohama, Japan, to be published
  33. Villar-Rodriguez, M. A. Pérez, A. I. Torre-Bastida, C. R. Senderos, and J. López-de-Armentia, “Edge intelligence secure frameworks: Current state and future challenges,” Computers & Security, vol. 130, p. 103278, Jul. 2023, doi: 10.1016/j.cose.2023.103278.
  34. Sarabia-Jácome, E. Grasa, and M. Catalán, “RINAsense: A prototype for implementing RINA networks in IoT environments,” in 2023 6th Conference on Cloud and Internet of Things (CIoT), Mar. 2023, pp. 70–76. doi: 10.1109/CIoT57267.2023.10084905.
  35. Sarabia-Jácome, E. Grasa, and M. Catalán, “RINA-based Multilayer QoS for support Tactile Internet,” in IoTworldForum2023,
  36. Sarabia-Jácome, E. Grasa, and M. Catalán , “SDN Architecture and Southbound Interface Driver for RINA Network in IoT Domains,”
  37. Liatifis et al., “Evaluating SDN applicability in the Edge,” in ICC 2023,
  38. Siniosoglou et al., “Applying Federated Learning on Decentralized Smart Farming: A Case Study,” in ICC 2023,
  39. Garbugli, L. Rosa, A. Bujari, and L. Foschini, “KuberneTSN: a Deterministic Overlay Network for Time-Sensitive Containerized Environments.” arXiv, Feb. 16, 2023. doi: 10.48550/arXiv.2302.08398.
  40. Liatifis, D.Pliatsios, P. Radoglou-Grammatikis, T. Lagkas, V. Vitsas, N. Katertsidis, I. Moscholios, S. Goudos, and P.Sarigiannidis, ‘’Edge Intelligence with 5G/6G Networks’’, EU-IoT & ICT-56 OA Book: Shaping the Future of IoT with Edge Intelligence: How Edge Computing Enables the Next Generation of IoT Applications, Accepted by River Publishers
  41. Siniosoglou, S. Bibi, K.-F. Kollias, G. Fragulis, P. Radoglou-Grammatikis, T. Lagkas, V. Argyriou, V. Vitsas, P. Sarigiannidis, ‘’Federated Learning Models in Decentralized Critical Infrastructure,’’ EU-IoT & ICT-56 OA Book: Shaping the Future of IoT with Edge Intelligence: How Edge Computing Enables the Next Generation of IoT Applications, Accepted by River Publishers
  42. Kelli, A. Triantafyllou, P. Radoglou-Grammatikis, T. Lagkas, V. Vitsas, P. Fouliras, I. Kotsiuba, and P. Sarigiannidis. Achieving Security and Privacy in NG-IoT Using Blockchain Techniques. Part III: Blockchain Solutions for Trusted Edge Intelligence in IoT Systems, EU-IoT & ICT-56 OA Book: Shaping the Future of IoT with Edge Intelligence: How Edge Computing Enables the Next Generation of IoT Applications.
    Accepted by River Publishers
  43. I. Griva, A. D. Boursianis, L. A. Iliadis, P. Sarigiannidis, G. Karagiannidis and S. K. Goudos, “Model-Agnostic Meta-Learning Techniques: A State-of-The-Art Short Review,” 2023 12th International Conference on Modern Circuits and Systems Technologies (MOCAST), Athens, Greece, 2023, pp. 1-4, doi: 10.1109/MOCAST57943.2023.10176893.
  44. I. Griva et al., “LoRa-Based IoT Network Assessment in Rural and Urban Scenarios,” Sensors, vol. 23, no. 3. MDPI AG, p. 1695, Feb. 03, 2023. doi: 10.3390/s23031695.
  45. Krystallidou, E., Boursianis, A., Diamantoulakis, P., Goudos, S., Karagiannidis, G., Siachamis, G., Stavropoulos, G., Ioannidis, D., and Tzovaras, D. (2022). Radio Frequency Energy Harvesting System and the Utilization of Blockchain Technologies in Agriculture. In: A. Theodoridis and S. Koutsou, eds., 10th International Conference on Information and Communication Technologies in Agriculture, Food and Environment (HAICTA 2022). [online] Information and Communication Technologies in Agriculture, Food and Environment. CEUR Workshop Proceedings, pp.100–105. Available at: https://ceur-ws.org/Vol-3293/paper22.pdf
  46. D. Boursianis et al., “Modified Bow-Tie Antenna Design Using Artificial Hummingbird Algorithm for Wireless Power Transfer IoT Applications,” 2023 17th European Conference on Antennas and Propagation (EuCAP), Florence, Italy, 2023, pp. 1-5, doi: 10.23919/EuCAP57121.2023.10133339.
  47. P-V. Mekikis et al., “Enabling Wireless-Powered IoT Through Incentive-Based UAV Swarm Orchestration,” in IEEE Open Journal of the Communications Society, vol. 4, pp. 2548-2560, 2023, doi: 10.1109/OJCOMS.2023.3323031.
  48. Sarabia-Jácome, E. Grasa, and M. Catalán, “Fine-grained traffic differentiation in Tactile Internet scenarios using RINA,” in IEEE 9th World Forum on Internet of Things (WF-IoT) 2023
  49. A. Mitsiou, S. A. Tegos, P. D. Diamantoulakis, P. G. Sarigiannidis and G. K. Karagiannidis, “Proactive Scheduling for Zero-Energy Device Networks With Fast Uplink Grant,” in IEEE Wireless Communications Letters, vol. 12, no. 7, pp. 1184-1188, July 2023, doi: 10.1109/LWC.2023.3265993.
  50. S. Bouzinis, P. D. Diamantoulakis, and G. K. Karagiannidis, “Wireless Quantized Federated Learning: A Joint Computation and Communication Design,” IEEE Transactions on Communications, vol. 71, no. 5. Institute of Electrical and Electronics Engineers (IEEE), pp. 2756–2770, May 2023. doi: 10.1109/tcomm.2023.3258485.
  51. A. Mitsiou, V. K. Papanikolaou, P. D. Diamantoulakis, T. Q. Duong, and G. K. Karagiannidis, “Digital Twin-Aided Orchestration of Mobile Edge Computing With Grant-Free Access,” IEEE Open Journal of the Communications Society, vol. 4. Institute of Electrical and Electronics Engineers (IEEE), pp. 841–853, 2023. doi: 10.1109/ojcoms.2023.3260165.
  52. K. Goudos et al., “Joint QoS Aware Admission Control and Power Allocation in NOMA Downlink Networks,” in IEEE Access, vol. 11, pp. 30873-30887, 2023, doi: 10.1109/ACCESS.2023.3262117.
  53. A. Mitsiou, P. S. Bouzinis, P. D. Diamantoulakis, R. Schober, and G. K. Karagiannidis, “Accelerating Distributed Optimization via Over-the-Air Computing,” IEEE Transactions on Communications, vol. 71, no. 9. Institute of Electrical and Electronics Engineers (IEEE), pp. 5565–5579, Sep. 2023. doi: 10.1109/tcomm.2023.3286915.
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