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| papers:start [2022-04-04 09:42] – [Publications where the Anglova scenario has been referenced] Markus Peuhkuri | papers:start [2025-03-28 12:14] (current) – Completed update of years 2022-2024 Markus Peuhkuri |
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| | 2020 | 6| | | 2020 | 6| |
| | 2021 | 18| | | 2021 | 18| |
| | Total | 58| | | 2022 | 13| |
| | | 2023 | 11 | |
| | | 2024 | 10 | |
| | | Total | 92 | |
| ===== 2017 ===== | ===== 2017 ===== |
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| White, G., Conway-Jones, D., Chan, K., Preece, A., Harryman, J., & Cox, M. (2021, April). 3D simulation and scenario for AI research in multi-domain and coalition operations. In //Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III// (Vol. 11746, p. 1174620). International Society for Optics and Photonics. | White, G., Conway-Jones, D., Chan, K., Preece, A., Harryman, J., & Cox, M. (2021, April). 3D simulation and scenario for AI research in multi-domain and coalition operations. In //Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications III// (Vol. 11746, p. 1174620). International Society for Optics and Photonics. |
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| Wigness, M., Pham, T., Russell, S., & Abdelzaher, T. (2021). Efficient and Resilient Edge Intelligence for the Internet of Battlefield Things. | Wigness, M., Pham, T., Russell, S., & Abdelzaher, T. (2021). Efficient and Resilient Edge Intelligence for the Internet of Battlefield Things. NATO S&T Journal. |
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| | ===== 2022 ===== |
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| | Barclay, I., Simpkin, C., Bent, G., La Porta, T., Millar, D., Preece, A., ... & Verma, D. (2022). Trustable service discovery for highly dynamic decentralized workflows. //Future Generation Computer Systems//, 134, 236-246. |
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| | Chan, K., Graves, E., Marcus, K., Moore, T., Perazzone, J., Scott, L., ... & Yu, P. Context-Aware Networking and Cybersecurity for Resilient Networking (Summary Technical Report, Oct 2017–Sep 2020). |
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| | Gavrilov, A., Bergaliyev, M., Tinyakov, S., Krinkin, K., & Popov, P. (2022). Using IoT Protocols in Real-Time Systems: Protocol Analysis and Evaluation of Data Transmission Characteristics. //Journal of Computer Networks and Communications//, 2022. |
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| | Grönkvist, J., Hansson, A., Hägglund, K., Komulainen, A., & Sköld, M. (2022). Low-altitude UAVs for significantly increased data rate in tactical ad hoc networks. //Procedia Computer Science//, 205, 107-116. |
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| | Hauge, M., Asprusten, M., Berg, T. J., & Bøhm, A. J. (2022). A Cloud-based experimentation and analysis framework for services at the tactical edge. //Procedia Computer Science//, 205, 147-156. |
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| | A. Komulainen, J. Grönkvist and U. Sterner, "Frequency-Hop-Coded SCB for Tactical Networks," MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM), Rockville, MD, USA, 2022, pp. 247-252, doi: 10.1109/MILCOM55135.2022.10017769. |
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| | Lopatka, J., Paso, T., Massin, R., & Leturc, X. (2022). Multi band efficient networks for ad hoc communications. //Procedia Computer Science//, 205, 88-96. |
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| | Maret, Y., Raza, M., Legendre, F., Wang, J., & Bessis, N. (2022). Investigation of a GNN approach to mitigate congestion in a realistic MANET scenario. //Procedia Computer Science//, 205, 127-136. |
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| | P. H. L. Rettore et al., "Towards Software-Defined Tactical Networks: Experiments and Challenges for Control Overhead," MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM), Rockville, MD, USA, 2022, pp. 110-116, doi: 10.1109/MILCOM55135.2022.10017807. |
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| | Rupar, M. A., Larsen, E., Saglam, H. B., Savin, J. A., Peltotalo, S., & Gurdil, B. (2022). Scenarios for BLOS Connectivity. //Procedia Computer Science//, 205, 198-207. |
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| | Srinivasan, R., & Garcia-Luna-Aceves, J. J. TCP-RTA: Real-time Topology Adaptive Congestion Control Strategy in TCP. |
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| | Suri, N., in't Velt, R., Breedy, M., Cramer, E., Nilsson, J., Marcus, K. M., ... & Fronteddu, R. (2022). To Forward or not to Forward: Considerations on and Experiments with Network Layer Forwarding in Combination with Middleware Services for Group Communications. //Procedia Computer Science//, 205, 78-87. |
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| | N. Suri et al., "Comparing Performance of Group Communications Protocols Over SCB versus Routed MANET Networks," MILCOM 2022 - 2022 IEEE Military Communications Conference (MILCOM), Rockville, MD, USA, 2022, pp. 1011-1017, doi: 10.1109/MILCOM55135.2022.10017772. |
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| | ===== 2023 ===== |
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| | A. Amato, R. Fronteddu and N. Suri, "Dynamically Creating Tactical Network Emulation Scenarios using Unity and EMANE," MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM), Boston, MA, USA, 2023, pp. 201-206, doi: 10.1109/MILCOM58377.2023.10356208. |
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| | M. Fogli, T. Kula, G. Pingen, S. Watson, H. Bastiaansen, P. Sanchz and N. Suri, "A Coalition Perspective on Federated and Adaptive |
| | Clouds for Disadvantaged Tactical Networks". Technial Report STO-MP-IST-200-04, Nato Science and Technology Organization, 2023. |
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| | I. Fourfouris et al., "Revisiting the OLSRv2 Protocol Optimization in SDN-enabled Tactical MANETs," MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM), Boston, MA, USA, 2023, pp. 779-786, doi: 10.1109/MILCOM58377.2023.10356322. |
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| | D. Kafetzis and I. Koutsopoulos, "Joint Controller Placement and Intrusion Detection System Enablement in Software Defined Mobile Ad Hoc Networks," European Wireless 2023; 28th European Wireless Conference, Rome, Italy, 2023, pp. 154-161. |
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| | J. Loevenich, R. Rigolin and F. Lopes. GNN-based Deep Reinforcement Learning with Adversarial Training for Robust Optimization of Modern Tactical Communication Systems. TechRxiv. June 12, 2023. DOI: 10.36227/techrxiv.23476058.v1. Also in European Defence Agency. (2023). EDA research, technology, and innovation papers award 2023. Publications Office of the European Union. https://data.europa.eu/doi/10.2836/568224. |
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| | Y. Maret, M. Raza, F. Legendre, N. Bessis and J. -F. Wagen, "Improving the performance of OLSRouting using PHY-IP information for realistic V2V/MANETs," 2023 19th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Montreal, QC, Canada, 2023, pp. 330-337, doi: 10.1109/WiMob58348.2023.10187848. |
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| | Y. Papageorgiou, M. Karaliopoulos and I. Koutsopoulos, "Controller Placement and TDMA Link Scheduling in Software Defined Wireless Multihop Networks," ICC 2023 - IEEE International Conference on Communications, Rome, Italy, 2023, pp. 640-646, doi: 10.1109/ICC45041.2023.10279494. |
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| | G. Rizzo et al., "Towards AI-Native Vehicular Communications," 2023 IEEE 97th Vehicular Technology Conference (VTC2023-Spring), Florence, Italy, 2023, pp. 1-7, doi: 10.1109/VTC2023-Spring57618.2023.10199974. |
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| | B. Schütz, C. Barz, P. H. L. Rettore and T. Hänel, "Site-specific Radio Signal Propagation for Tactical Environments using 3D Path Tracing," MILCOM 2023 - 2023 IEEE Military Communications Conference (MILCOM), Boston, MA, USA, 2023, pp. 213-218, doi: 10.1109/MILCOM58377.2023.10356327. |
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| | N. Suri et al., "Adaptive Information Dissemination Over Tactical Edge Networks," 2023 International Conference on Military Communications and Information Systems (ICMCIS), Skopje, North Macedonia, 2023, pp. 1-7, doi: 10.1109/ICMCIS59922.2023.10253585. |
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| | Y. Papageorgiou, J. F. Loevenich, M. Karaliopoulos, P. H. L. Rettore, R. R. F. Lopes and I. Koutsopoulos, "Coordinating the SDN and TDMA Planes in Software-Defined Tactical MANETs with Adaptive Coding and Modulation," 2023 International Conference on Military Communications and Information Systems (ICMCIS), Skopje, North Macedonia, 2023, pp. 1-10, doi: 10.1109/ICMCIS59922.2023.10253466. |
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| | ===== 2024 ===== |
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| | A. Amato et al., "A Performance Cost/Benefit Analysis of Adaptive Computing in the Tactical Edge," 2024 International Conference on Military Communication and Information Systems (ICMCIS), Koblenz, Germany, 2024, pp. 1-8, doi: 10.1109/ICMCIS61231.2024.10541027. |
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| | N. Auler, C. Fuchs, B. Schütz and D. Weber, "Evaluating the Potential of Multipath TCP in Tactical Communications," 2024 International Conference on Military Communication and Information Systems (ICMCIS), Koblenz, Germany, 2024, pp. 01-07, doi: 10.1109/ICMCIS61231.2024.10540702. |
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| | L. Campioni, E. Di Caro, M. Breedy, J. Nilsson and N. Suri, "A Network Connectivity Analysis of the Anglova Scenario," MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM), Washington, DC, USA, 2024, pp. 1180-1185, doi: 10.1109/MILCOM61039.2024.10773641. |
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| | L. Colombi et al., "Efficient Data Dissemination via Semantic Filtering at the Tactical Edge," MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM), Washington, DC, USA, 2024, pp. 457-462, doi: 10.1109/MILCOM61039.2024.10773700. |
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| | E. De Francesco, R. De Francesco, S. Giarnetti, M. Greco and Fabio Leccese, "Fast Deployment, Marine Environments Early Warning Autonomous System" in Volume 65: Modern Technologies Enabling Innovative Methods for Maritime Monitoring and Strengthening Resilience in Maritime Critical Infrastructures, pp. 177-192, NATO Science for Peace and Security Series - D: Information and Communication Security, 2024. DOI: 10.3233/NICSP240025 |
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| | A. Hansson, A. Komulainen, U. Sterner and J. Grönkvist, "A Placement Method for Low-Flying UAVs in High Data Rate Tactical Networks," MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM), Washington, DC, USA, 2024, pp. 1162-1167, doi: 10.1109/MILCOM61039.2024.10773644. |
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| | J. Liu, J. Albrethsen, L. Goh, D. Yau and K. H. Lim, "Spatial-Temporal Graph Representation Learning for Tactical Networks Future State Prediction," 2024 International Joint Conference on Neural Networks (IJCNN), Yokohama, Japan, 2024, pp. 1-8, doi: 10.1109/IJCNN60899.2024.10650266. |
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| | T. Möhlenhof and N. Jansen, "Decentralized Cooperative Multi-Agent Deep Reinforcement Learning for Real-Time Optimization of Emulated Ad-Hoc Radio Networks," MILCOM 2024 - 2024 IEEE Military Communications Conference (MILCOM), Washington, DC, USA, 2024, pp. 542-547, doi: 10.1109/MILCOM61039.2024.10773944. |
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| | Vitullo DL, Cook T, Jones DE, Scott LM, Toth A, Kirby BT. Simulating quantum key distribution in fiber-based quantum networks. The Journal of Defense Modeling and Simulation. 2023;21(4):463-486. doi:10.1177/15485129231154929 |
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| | Mikal R. Willeke, Sean Harding, Kevin Chan, Nathaniel D. Bastian, "Stochastic optimization of inference execution on tactical edge networks," Proc. SPIE 13051, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications VI, 130510X (7 June 2024); https://doi.org/10.1117/12.3013136 |
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