Abstract
Bu çalışmada birden fazla insansız hava aracının (İHA) kontrolünde, haberleşmesinde çok erkinli sistem yaklaşımında özetlenecektir. Çoklu İHA sistemleri son yıllarda birçok alanda askeri ve sivil uygulamalarda kullanılmaktadır. Çoklu İHA sistemleri kullanılarak karar vermede çok erkinli sistem yaklaşımı açıklanacaktır. Ortamın haritasının çıkarılması, verilen görevin çoklu İHA kullanılarak çözülmesinde çok erkin sistem yapısı incelenecektir. Çoklu İHA kullanılarak elde edilen sonuçlar tartışılacaktır.
Keywords
İHA Haberleşme Çok Erkinli Sistemler Dağıtık sistemler. UAV Communication Multi-Agent Systems Distributed Systems.
References
- İnsansız Hava Araçlarında Elektronik Harp Uygulamaları, Trend Analizi, Nisan 2021.
- Yiğit E., Yazar I., Karakoç T.H., Sürdürülebilir Havacılık Araştırmaları Dergisi (2018), C3-S1, 10-19.
- Oubbati, O S, Atiquzzaman, M., Lakas, A., Baz, A., Alhakami, H., and Alhakami, W., Multi-UAV-enabled AoI-aware WPCN: A Multi-agent Reinforcement Learning Strategy, IEEE INFOCOM WKSHPS: AoI 2021: IEEE INFOCOM Age of Information Workshop
- Leon-Blanco, J. M., Gonzalez-R, P. L., Andrade-Pineda, J. L., Canca, D., Calle, M. A multi-agent approach to the truck multi-drone routing problem. Expert Systems With Applications 195 (2022) 116604
- Pascarella, D., Gigante, G., Luongo, S., Venticinque, S. Autonomous and Dependable Multi-Agent Systems for the Mission Planning of Multi-UAV Surveillance Missions. https://www.sto.nato.int/publications/STO/Meeting/Proceedings/STO-MP-IST-166%2FMP-IST-166-01.pdf
- Li, S., Jia, Y., Yang, F., Qin, Q., Gao, H., Zhou, Y., Collaborative Decision-Making Method for Multi-UAV Based on Multiagent Reinforcement Learning. IEEE Access, 2022, Vol 10 pp 91385-91396.
- Skobelev, P., Budaev, D., Gusev, N., Voschuk, G. Designing Multi-Agent Swarm of UAV for Precise Agriculture. J. Bajo et al. (Eds.): PAAMS 2018 Workshops, CCIS 887, pp. 47–59, 2018. https://doi.org/10.1007/978-3-319-94779-2_5
- Trianni, V., IJsselmuiden, J., and Haken, R. The SAGA concept: Swarm Robotics for Agricultural Applications. http://laral.istc.cnr.it/saga/wp-content/uploads/2016/09/saga-dars2016.pdf
- SAGA Project, https://www.istc.cnr.it/it/project/saga-swarm-robotics-agricultural-applications
Abstract
In this study, the control and communication of more than one unmanned aerial vehicle (UAV) will be summarized in a multi agent system approach. Multiple UAV systems have been used in military and civilian applications in many fields in recent years. A multi agent system approach in decision making using multiple UAV systems will be explained. Multi agent system structure will be examined in mapping the environment and solving the given task using multiple UAVs. The results obtained using multiple UAVs will be discussed.
Keywords
İHA Haberleşme Çok Erkinli Sistemler Dağıtık sistemler. UAV Communication Multi-Agent Systems Distributed Systems.
References
- İnsansız Hava Araçlarında Elektronik Harp Uygulamaları, Trend Analizi, Nisan 2021.
- Yiğit E., Yazar I., Karakoç T.H., Sürdürülebilir Havacılık Araştırmaları Dergisi (2018), C3-S1, 10-19.
- Oubbati, O S, Atiquzzaman, M., Lakas, A., Baz, A., Alhakami, H., and Alhakami, W., Multi-UAV-enabled AoI-aware WPCN: A Multi-agent Reinforcement Learning Strategy, IEEE INFOCOM WKSHPS: AoI 2021: IEEE INFOCOM Age of Information Workshop
- Leon-Blanco, J. M., Gonzalez-R, P. L., Andrade-Pineda, J. L., Canca, D., Calle, M. A multi-agent approach to the truck multi-drone routing problem. Expert Systems With Applications 195 (2022) 116604
- Pascarella, D., Gigante, G., Luongo, S., Venticinque, S. Autonomous and Dependable Multi-Agent Systems for the Mission Planning of Multi-UAV Surveillance Missions. https://www.sto.nato.int/publications/STO/Meeting/Proceedings/STO-MP-IST-166%2FMP-IST-166-01.pdf
- Li, S., Jia, Y., Yang, F., Qin, Q., Gao, H., Zhou, Y., Collaborative Decision-Making Method for Multi-UAV Based on Multiagent Reinforcement Learning. IEEE Access, 2022, Vol 10 pp 91385-91396.
- Skobelev, P., Budaev, D., Gusev, N., Voschuk, G. Designing Multi-Agent Swarm of UAV for Precise Agriculture. J. Bajo et al. (Eds.): PAAMS 2018 Workshops, CCIS 887, pp. 47–59, 2018. https://doi.org/10.1007/978-3-319-94779-2_5
- Trianni, V., IJsselmuiden, J., and Haken, R. The SAGA concept: Swarm Robotics for Agricultural Applications. http://laral.istc.cnr.it/saga/wp-content/uploads/2016/09/saga-dars2016.pdf
- SAGA Project, https://www.istc.cnr.it/it/project/saga-swarm-robotics-agricultural-applications
Details
| Primary Language | Turkish |
|---|---|
| Subjects | Engineering |
| Journal Section | Articles |
| Authors | |
| Publication Date | December 31, 2022 |
| Published in Issue | Year 2022 |