UAV Applications and Optimization

Derniers papiers

• Dynamic one-time delivery of critical data by small and sparse UAV swarms: a model problem for MARL scaling studies

  Mika Persson, Jonas Lidman, Jacob Ljungberg, Samuel Sandelius, Adam Andersson · 11 décembre 2025

  This work presents a conceptual study on the application of Multi-Agent Reinforcement Learning (MARL) for decentralized control of unmanned aerial vehicles to relay a critical data package to a known position. For this purpose, a family of deterministic games is introduced, designed for scaling stud…

• Multi-Agent Deep Reinforcement Learning for Collaborative UAV Relay Networks under Jamming Atatcks

  Thai Duong Nguyen, Ngoc-Tan Nguyen, Thanh-Dao Nguyen, Nguyen Van Huynh, Dinh-Hieu Tran, Symeon Chatzinotas · 10 décembre 2025

  The deployment of Unmanned Aerial Vehicle (UAV) swarms as dynamic communication relays is critical for next-generation tactical networks. However, operating in contested environments requires solving a complex trade-off, including maximizing system throughput while ensuring collision avoidance and r…

• Bayesian Active Inference for Intelligent UAV Anti-Jamming and Adaptive Trajectory Planning

  Ali Krayani, Seyedeh Fatemeh Sadati, Lucio Marcenaro, Carlo Regazzoni · 8 décembre 2025

  This paper proposes a hierarchical trajectory planning framework for UAVs operating under adversarial jamming conditions. Leveraging Bayesian Active Inference, the approach combines expert-generated demonstrations with probabilistic generative modeling to encode high-level symbolic planning, low-lev…

• Beyond Paired Data: Self-Supervised UAV Geo-Localization from Reference Imagery Alone

  Tristan Amadei, Enric Meinhardt-Llopis, Benedicte Bascle, Corentin Abgrall, Gabriele Facciolo · 3 décembre 2025

  Image-based localization in GNSS-denied environments is critical for UAV autonomy. Existing state-of-the-art approaches rely on matching UAV images to geo-referenced satellite images; however, they typically require large-scale, paired UAV-satellite datasets for training. Such data are costly to acq…

• Agentic UAVs: LLM-Driven Autonomy with Integrated Tool-Calling and Cognitive Reasoning

  Anis Koubaa, Khaled Gabr · 3 décembre 2025

  Unmanned Aerial Vehicles (UAVs) are increasingly used in defense, surveillance, and disaster response, yet most systems still operate at SAE Level 2 to 3 autonomy. Their dependence on rule-based control and narrow AI limits adaptability in dynamic and uncertain missions. Current UAV architectures la…

• Multimodal Mixture-of-Experts for ISAC in Low-Altitude Wireless Networks

  Kai Zhang, Wentao Yu, Hengtao He, Shenghui Song, Jun Zhang, Khaled B. Letaief · 2 décembre 2025

  Integrated sensing and communication (ISAC) is a key enabler for low-altitude wireless networks (LAWNs), providing simultaneous environmental perception and data transmission in complex aerial scenarios. By combining heterogeneous sensing modalities such as visual, radar, lidar, and positional infor…

• Deep Reinforcement Learning for Drone Route Optimization in Post-Disaster Road Assessment

  Huatian Gong, Jiuh-Biing Sheu, Zheng Wang, Xiaoguang Yang, Ran Yan · 1 décembre 2025

  Rapid post-disaster road damage assessment is critical for effective emergency response, yet traditional optimization methods suffer from excessive computational time and require domain knowledge for algorithm design, making them unsuitable for time-sensitive disaster scenarios. This study proposes …

• An Efficient Privacy-preserving Intrusion Detection Scheme for UAV Swarm Networks

  Kanchon Gharami, Shafika Showkat Moni · 1 décembre 2025

  The rapid proliferation of unmanned aerial vehicles (UAVs) and their applications in diverse domains, such as surveillance, disaster management, agriculture, and defense, have revolutionized modern technology. While the potential benefits of swarm-based UAV networks are growing significantly, they a…

• 3D Dynamic Radio Map Prediction Using Vision Transformers for Low-Altitude Wireless Networks

  Nguyen Duc Minh Quang, Chang Liu, Huy-Trung Nguyen, Shuangyang Li, Derrick Wing Kwan Ng, Wei Xiang · 25 novembre 2025

  Low-altitude wireless networks (LAWN) are rapidly expanding with the growing deployment of unmanned aerial vehicles (UAVs) for logistics, surveillance, and emergency response. Reliable connectivity remains a critical yet challenging task due to three-dimensional (3D) mobility, time-varying user dens…

• Wireless Power Transfer and Intent-Driven Network Optimization in AAVs-assisted IoT for 6G Sustainable Connectivity

  Yue Hu, Xiaoming He, Rui Yuan, Shahid Mumtaz · 25 novembre 2025

  Autonomous Aerial Vehicle (AAV)-assisted Internet of Things (IoT) represents a collaborative architecture in which AAV allocate resources over 6G links to jointly enhance user-intent interpretation and overall network performance. Owing to this mutual dependence, improvements in intent inference and…

• From Static to Adaptive Defense: Federated Multi-Agent Deep Reinforcement Learning-Driven Moving Target Defense Against DoS Attacks in UAV Swarm Networks

  Yuyang Zhou, Guang Cheng, Kang Du, Zihan Chen, Tian Qin, Yuyu Zhao · 21 novembre 2025

  The proliferation of UAVs has enabled a wide range of mission-critical applications and is becoming a cornerstone of low-altitude networks, supporting smart cities, emergency response, and more. However, the open wireless environment, dynamic topology, and resource constraints of UAVs expose low-alt…

• Hierarchical Federated Graph Attention Networks for Scalable and Resilient UAV Collision Avoidance

  Rathin Chandra Shit, Sharmila Subudhi · 18 novembre 2025

  The real-time performance, adversarial resiliency, and privacy preservation are the most important metrics that need to be balanced to practice collision avoidance in large-scale multi-UAV (Unmanned Aerial Vehicle) systems. Current frameworks tend to prescribe monolithic solutions that are not only …

• A Multi-Drone Multi-View Dataset and Deep Learning Framework for Pedestrian Detection and Tracking

  Kosta Dakic, Kanchana Thilakarathna, Rodrigo N. Calheiros, Teng Joon Lim · 13 novembre 2025

  Multi-drone surveillance systems offer enhanced coverage and robustness for pedestrian tracking, yet existing approaches struggle with dynamic camera positions and complex occlusions. This paper introduces MATRIX (Multi-Aerial TRacking In compleX environments), a comprehensive dataset featuring sync…

• UAV-Assisted Resilience in 6G and Beyond Network Energy Saving: A Multi-Agent DRL Approach

  Dao Lan Vy Dinh, Anh Nguyen Thi Mai, Hung Tran, Giang Quynh Le Vu, Tu Dac Ho, Zhenni Pan, Vo Nhan Van, Symeon Chatzinotas, Dinh-Hieu Tran · 11 novembre 2025

  This paper investigates the unmanned aerial vehicle (UAV)-assisted resilience perspective in the 6G network energy saving (NES) scenario. More specifically, we consider multiple ground base stations (GBSs) and each GBS has three different sectors/cells in the terrestrial networks, and multiple cells…

• An End-to-End Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drones

  Taihelong Zeng, Yun Lin, Yuhe Shi, Yan Li, Zhiqing Wei, Xuanru Ji · 10 novembre 2025

  The emergence of truck-drone collaborative systems in last-mile logistics has positioned the Traveling Salesman Problem with Drones (TSP-D) as a pivotal extension of classical routing optimization, where synchronized vehicle coordination promises substantial operational efficiency and reduced enviro…

• Koopman-based Prediction of Connectivity for Flying Ad Hoc Networks

  Sivaram Krishnan, Jinho Choi, Jihong Park, Gregory Sherman, Benjamin Campbell · 4 novembre 2025

  The application of machine learning (ML) to communication systems is expected to play a pivotal role in future artificial intelligence (AI)-based next-generation wireless networks. While most existing works focus on ML techniques for static wireless environments, they often face limitations when app…

• Onboard Mission Replanning for Adaptive Cooperative Multi-Robot Systems

  Elim Kwan, Rehman Qureshi, Liam Fletcher, Colin Laganier, Victoria Nockles, Richard Walters · 28 octobre 2025

  Cooperative autonomous robotic systems have significant potential for executing complex multi-task missions across space, air, ground, and maritime domains. But they commonly operate in remote, dynamic and hazardous environments, requiring rapid in-mission adaptation without reliance on fragile or s…

• AirFed: Federated Graph-Enhanced Multi-Agent Reinforcement Learning for Multi-UAV Cooperative Mobile Edge Computing

  Zhiyu Wang, Suman Raj, Rajkumar Buyya · 28 octobre 2025

  Multiple Unmanned Aerial Vehicles (UAVs) cooperative Mobile Edge Computing (MEC) systems face critical challenges in coordinating trajectory planning, task offloading, and resource allocation while ensuring Quality of Service (QoS) under dynamic and uncertain environments. Existing approaches suffer…

• When UAV Swarm Meets IRS: Collaborative Secure Communications in Low-altitude Wireless Networks

  Jiahui Li, Xinyue Liang, Geng Sun, Hui Kang, Jiacheng Wang, Dusit Niyato, Shiwen Mao, Abbas Jamalipour · 28 octobre 2025

  Low-altitude wireless networks (LAWNs) represent a promising architecture that integrates unmanned aerial vehicles (UAVs) as aerial nodes to provide enhanced coverage, reliability, and throughput for diverse applications. However, these networks face significant security vulnerabilities from both kn…

• Next-Generation LLM for UAV: From Natural Language to Autonomous Flight

  Liangqi Yuan, Chuhao Deng, Dong-Jun Han, Inseok Hwang, Sabine Brunswicker, Christopher G. Brinton · 28 octobre 2025

  With the rapid advancement of Large Language Models (LLMs), their capabilities in various automation domains, particularly Unmanned Aerial Vehicle (UAV) operations, have garnered increasing attention. Current research remains predominantly constrained to small-scale UAV applications, with most studi…

• Better Together: Leveraging Multiple Digital Twins for Deployment Optimization of Airborne Base Stations

  Mauro Belgiovine, Chris Dick, Kaushik Chowdhury · 27 octobre 2025

• A Unified Model for Multi-Task Drone Routing in Post-Disaster Road Assessment

  Huatian Gong, Jiuh-Biing Sheu, Zheng Wang, Xiaoguang Yang, Ran Yan · 27 octobre 2025

• Dependency-Aware Task Offloading in Multi-UAV Assisted Collaborative Mobile Edge Computing

  Zhenyu Zhao, Xiaoxia Xu, Tiankui Zhang, Junjie Li, Yuanwei Liu · 27 octobre 2025

  Cet article aborde comment améliorer l’efficacité des drones (UAV) aidant à traiter des tâches informatiques déléguées par des appareils mobiles. Les chercheurs proposent une méthode pour répartir intelligemment ces tâches et optimiser la trajectoire des drones, en utilisant une nouvelle approche mathématique pour résoudre ce problème complexe. Les résultats montrent que leur solution réduit les délais de traitement et la consommation d’énergie, tout en équilibrant la charge entre plusieurs drones. Cette avancée peut améliorer la performance des systèmes mobiles et ouvrir la voie à des applications plus efficaces de l’IA dans la gestion des réseaux sans fil.