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• Utilizing hybrid MCDM models for analyzing UAV swarm
  Abstract Unmanned Aerial Vehicle (UAV) swarm can not only carry out tasks in dangerous or inaccessible areas, but also reduce the cost and simplify the manpower required. Multiple criteria decision making (MCDM) is rarely used to explore UAV swarm; therefore, …
  europepmc Hung-Jia Tsuei, Gwo-Hshiung Tzeng 2024 置信度 0.80
• Modeling and Simulation of Vehicle Performance in a UAV Swarm Using Horizon Simulation Framework
  crossref Adam J. Frye 2020-04-22T19:36:18Z 置信度 0.70
• The Data Value based Asynchronous Federated Learning for UAV Swarm under Unstable Communication Scenarios_supp1-3331906.pdf
  crossref Tao Yang 2023-11-14T14:15:20Z 置信度 0.70
• Moving peak drone search problem: An online multi-swarm intelligence approach for UAV search operations
  crossref Nikolaos A. Kyriakakis, Magdalene Marinaki, Nikolaos Matsatsinis, Yannis Marinakis 2021-07-31T02:30:29Z 置信度 0.70
• Routing and Mobility Models for Ad Hoc UAV Networks
  crossref Jared Helton, Qian Mao, Immanuel Manohar, Fei Hu 等 2020-12-02T06:33:35Z 置信度 0.70
• Guidance Law for a Surveillance UAV Swarm Tracking a High Capability Malicious UAV
  crossref Jason Brown, Nawin Raj 2021-05-28T20:26:26Z 置信度 0.70
• Chaos Meets Levy Flight: An Enhanced Spherical Particle Swarm Optimization for Uav Path Planning
  crossref Li Zhijie 2025-03-12T08:41:42Z 置信度 0.70
• Blockchain Application in UAV Swarm Security
  crossref Faisal Rehman, Junaid Akbar, Muhammad Abid Mehmood 2025-02-28T01:30:40Z 置信度 0.70
• Distributed Swarm Management through Digital-Twin Consensus in UAV-Assisted Networks
  Flying Ad Hoc Networks (FANETs) enable rapid deployment of UAV-assisted connectivity and edge services in scenarios where conventional infrastructure is limited or absent. However, most management approaches for these networks rely on a ground control station,…
  crossref Sergio Frejo-Martín, Jaime Galán-Jiménez 2026-04-25T12:36:39Z 置信度 0.70
• Research on Path Planning of UAV Swarm for Decapitation Strike
  Abstract Decapitation strike is an important part of modern war, which could achieve significant effect at a small cost. With the rapid improvement of unmanned aerial vehicle (UAV) swarm's ability to carry out reconnaissance and strike missions, this combat mi…
  europepmc Zhihao Zhang, xiaodong liu, Boyu Feng 2023 置信度 0.80
• Embedded models of UAV swarm control algorithm
  This paper presents an approach to the embedded system software implementation based on a Model-View-Controller (MVC) architecture, specially modified for the multi-agent domain. It aims to solve the poor scalability and single-point-of-failure risks associate…
  crossref P.D. Oleksiienko, V.V. Kazymyr 2025-12-29T09:21:46Z 置信度 0.70
• Age of Information Optimal Uav Swarm-Assisted Sweep Coverage in Wireless Sensor Networks
  crossref Li Li, Hongbin Chen 2024-02-01T13:18:10Z 置信度 0.70
• Performance Evaluation for Tracking a Malicious UAV using an Autonomous UAV Swarm
  crossref Christopher Arnold, Jason Brown 2020-12-25T16:47:33Z 置信度 0.70
• Uav Swarm For Age of Information Optimal Sweep Coverage in Wireless Sensor Networks
  crossref Li Li, Hongbin Chen 2023-08-16T19:18:31Z 置信度 0.70
• Geometry-Aware Moving Viewpoint Particle Swarm Optimisation for Efficient UAV Facade Coverage
  Inspection of high-rise building façades is critical for structural assessment, emergency response, and risk mitigation in dense urban environments. While Unmanned Aerial Vehicles (UAVs) provide a safe and flexible platform for data acquisition, the effective…
  crossref Manit Agarwal, Svetha Venkatachari, Prathyush Menon 2026-03-02T21:24:05Z 置信度 0.70
• Adaptive Critical Link Detection for Robust Connectivity in Uav Swarm Networks
  crossref ERCAN ERKALKAN, Vedat Topuz, Ali Buldu 2025-06-12T13:43:15Z 置信度 0.70
• 5G Integration for Enhanced UAV Swarm Connectivity
  crossref Faisal Rehman, Muhammad Hammad Nawaz, Shanza Gul 2025-02-28T01:31:13Z 置信度 0.70
• Formation Control of Networked UAVs
  crossref Guiqin Yang, Fei Hu 2020-12-02T06:33:35Z 置信度 0.70
• YOLO11-Based Drone Swarm Detection: An Advanced Deep Learning Based Approach for Anti-UAV Systems
  crossref Hafedh Jouini, Hamza Gharsellaoui, Mohamed Khalgui 2026-05-26T02:26:12Z 置信度 0.70
• A parameter-less decoupling strategic adjustments method for shape reconfiguration of UAV swarm
  crossref Ziquan Wang, Juan Li, Chang Liu, Jie Li 2025-10-15T16:51:53Z 置信度 0.70
• Parallel Simulation of UAV Swarm Scenarios
  crossref J.J. Corner, G.B. Lamont 2005-04-05T14:48:50Z 置信度 0.70
• Modeling and Hierarchical Optimization of Smoke Jammer Deployment Strategies for UAV Swarm Cooperative Countermeasures
  crossref Yuqiong Feng, Hang Lin, Dongyan Huang, Zhengbo Li 2026-07-29T18:07:08Z 置信度 0.70
• Immune network-based swarm intelligence and its application to unmanned aerial vehicle (UAV) swarm coordination
  crossref Liguo Weng, Qingshan Liu, Min Xia, Y.D. Song 2013-03-26T06:33:22Z 置信度 0.70
• Optimal UAV Placement in 3D Space for Enhanced Communication Performance: A Multi-Objective Particle Swarm Optimization Approach
  This paper presents an optimization framework for an Unmanned Aerial Vehicle (UAV) assisted communication system. The goal is to determine the optimal placement of the UAV in three-dimensional space (xu, yu, zu) to minimize power consumption and maximize data …
  crossref Muhammad Khalil 2023-04-11T12:23:12Z 置信度 0.70
• UAV Swarm Cooperation
  crossref Haipeng Yao, Tianle Mai 2025-08-30T11:38:36Z 置信度 0.70
• Swarm UAV scene simulation based on differential flatness and swarm intelligence
  crossref Qingchen Zhou, Xianzhao shen, Mingming Xu 2024-08-28T15:45:50Z 置信度 0.70
• Task-driven Decentralized Decision-making Method for UAV Swarm with Behavior Regulation under Communication Delay
  crossref Ziwei Xin, Juan Li, Jie Li, Chang Liu 2026-07-17T13:29:13Z 置信度 0.70
• A Learning Vector Particle Swarm Algorithm Incorporating Sparrow for UAV Path Planning
  UAV path planning has become a research hotspot in the current era. In order to make UAV plan the route reasonably in the real environment, this paper proposes a learning vector particle swarm optimization algorithm (slpso) based on sparrow, which uses vector …
  crossref Chunan Hu, Mingjie Deng, Donglin Zhu 2022-08-19T09:05:37Z 置信度 0.70
• Defense Success Rate Evaluation for UAV Swarm Defense System
  crossref Xiaonan Zhang, Pengcheng Luo, Xinwu Hu 2018-10-30T12:11:24Z 置信度 0.70
• A Cooperative Search Algorithm Based on Improved Particle Swarm Optimization Decision for UAV Swarm
  crossref Ren Zhicai, Bo Jiang, Xu Hong 2021-06-21T16:41:56Z 置信度 0.70
• Search and Rescue Using UAV SWARM in Disaster Management: A Survey
  crossref Prakarsh Srivastava, J. Sathish Kumar 2025-02-27T11:51:11Z 置信度 0.70
• CONSOLE: intruder detection using a UAV swarm and security rings
  crossref Daniel H. Stolfi, Matthias R. Brust, Grégoire Danoy, Pascal Bouvry 2021-05-19T12:02:54Z 置信度 0.70
• Analysis of military application of UAV swarm technology
  crossref Zhu Xiaoning 2020-12-07T23:22:52Z 置信度 0.70
• SwarmL: UAV swarm task description language with AI policies enhancement
  In recent years, unmanned aerial vehicle (UAV) swarms have gained traction in diverse fields, such as disaster relief and agricultural production. However, programming tasks for UAV swarms presents significant challenges due to their scale, task complexity, an…
  europepmc Shaocong Ma, Liang Wang, Wen Wang, Hao Hu 等 2024 置信度 0.80
• Swarm Intelligence based Collision Avoidance Between Realistically Modelled UAV Clusters
  crossref Rajnikant Sharma, D Ghose 2007-08-08T12:01:54Z 置信度 0.70
• The preliminary study on multi-swarm sharing particle swarm optimization: Applied to UAV path planning problem
  crossref Chih-Li Huo, Tzu-Ying Lai, Tsung-Ying Sun 2011-07-20T20:51:24Z 置信度 0.70
• ENVIRONMENT SELECTION FOR UAV SWARM SIMULATION WITH ONTOLOGY, LLM AND RL
  crossref Ihor Rohatskyi 2025-10-19T20:26:00Z 置信度 0.70
• Advancement in ML Techniques and Applications for UAV Swarm Management
  crossref Yasir khan, A. Sabitha Banu, Junaid Yousaf 2025-02-28T01:28:56Z 置信度 0.70
• Innovations and Future Directions in UAV Swarm for Protecting Smart Cities
  crossref Manish Thakra, Trisha Polly, Nilesh Jadhav 2025-02-27T20:30:19Z 置信度 0.70
• V-USDT: Vision-Based UAV Swarm Detection and Tracking by Leveraging Swarm Formation Constraints
  crossref Md. Hasibur Rahman, Sanjay Madria 2025-07-08T13:36:14Z 置信度 0.70
• Autonomous Self Organized UAV Swarm Systemis
  crossref Dustin J. Nowak, Gary B. Lamont 2009-04-01T15:46:13Z 置信度 0.70
• A review of UAV swarm-based detection of a dynamic contamination plume
  crossref 2023-08-08T02:35:28Z 置信度 0.70
• UAV Swarm-enabled Collaborative Secure Relay Communications with Time-domain Colluding Eavesdropper_supp1-3350885.pdf
  crossref Geng Sun 2024-01-09T15:51:47Z 置信度 0.70
• Implementation of UAV Swarm Flight Exploration based on Mobile Sensing Clusters Using Swarm Intelligence
  crossref Shoma Nishigami, Eiji Nii, Naoki Hashimoto, Hiroyuki Yomo 等 2026-03-09T19:55:54Z 置信度 0.70
• Efficient and Robust Unmanned Aircraft C-Band Communication System
  crossref Dominik Rieth 2020-12-02T06:33:35Z 置信度 0.70
• Simultaneous Mapping Localization and Path Planning for UAV Swarm
  crossref Liang-Boon Wee, Yew-Chai Paw 2023-05-15T13:50:05Z 置信度 0.70
• Tipping Dynamics and Critical Recovery in Interdependent UAV Swarm Networks
  crossref Qi Wang, Dan Lu 2026-04-28T19:45:57Z 置信度 0.70
• Hunting Fake Base Stations (FBS): A Distributed Autonomous UAV Swarm Framework for FBS Detection and Localization
  Portable Fake Base Stations (FBSs), also known as International Mobile Subscriber Identity (IMSI) catchers, pose a growing threat to personal privacy, communication integrity and national security, as evidenced by real-world attacks, by exploiting protocol vul…
  crossref Ioannis Anagnostis, Panayiotis Kotzanikolaou 2026-06-30T21:37:46Z 置信度 0.70
• Chapter II. Enriching of ontological models with external web resources for intelligent planning of UAV swarm missions
  The chapter considers the application of ontology models enriched with external resources for intelligent planning of a UAV swarm mission. The relevance of ontologies for formalizing knowledge about missions, environment, and threats is substantiated. A method…
  crossref Anatolii Hladun, Kateryna Khala 2026-02-03T09:34:09Z 置信度 0.70
• Adaptable UAV Swarm Autonomy and Formation Platform
  crossref Divya Srivastava, Roxanna Pakkar, Austin Langrehr, Chaska Yamane 2019-06-20T23:33:37Z 置信度 0.70
• Augmented Reality (AR) and Virtual Reality (VR) for UAV Swarm Visualization
  crossref Manish Thakra, Anita Devare, Manoj H Devare 2025-02-28T01:30:55Z 置信度 0.70
• Uav Swarm for Connectivity Enhancement of Multiple Isolated Sensor Networks Based on Subnet Priority
  crossref Yiping Yao, Hongbin Chen, Zhihui Guo 2025-07-17T18:39:19Z 置信度 0.70
• Agile Target Capture with UAV Swarm in Dense Environments
  Rapidly capturing fast-moving targets is critical for maintaining border security and public safety. However, traditional swarm-based target acquisition models often rely on target cooperation and focus on fixed formation capture methods. When target positions…
  crossref Ping Zhang, Jianwen Huo, Ran Liu, Hongwei Liu 等 2026-02-26T16:44:57Z 置信度 0.70
• UAV Swarm Mapping Using a Fully Distributed Control Approach
  crossref Tristan Sherman, Scott Boskovich 2019-01-07T05:52:39Z 置信度 0.70
• Epigenetic regulation for dynamic UAV-swarm optimization—EpiSwarm
  Evolutionary algorithms adapt mainly through selection, recombination, and mutation, which in changing environments forces costly re-optimization and slow recovery after disruption. We present EpiSwarm, an evolutionary algorithm for dynamic industrial UAV-swar…
  crossref Jordi Vallverdú 2026-07-10T08:55:56Z 置信度 0.70
• Swarm Intelligence-Based Multi-UAV CooperativeCoverage and Path Planning for Precision PesticideSpraying in Irregular Farmlands
  Achieving precise pesticide spraying tasks in irregular farmland faces multiple challenges such as multi-UAV path coordination, coverage efficiency optimization, and energy consumption control, especially in environments with complex terrain and significant ch…
  europepmc Dianyi Zhou 2025 置信度 0.80
• Distributed Optimal Scheduling in UAV Swarm Network
  crossref Wei Sun 2021-03-11T16:35:06Z 置信度 0.70
• Autonomous planning method for intelligent UAV swarm flight path based on swarm policy
  crossref Jiaqi Guo, Yefei Yin, Xianglong Mu, Jinke Zhao 2024-02-28T22:40:33Z 置信度 0.70
• Cooperative search algorithm for UAV swarm based on heterogeneous sensor fusion.
  europepmc 2026 置信度 0.80
• Domain Adaptation-Based Sorting Method for UAV Swarm Targets on Multi-Station Features.
  europepmc 2026 置信度 0.80
• A Co-Design Framework for UAV Logistics Infrastructure and Distributed UAV Swarm Scheduling
  Abstract In large-scale UAV logistics systems, distributed scheduling has emerged as a key approach to overcoming the scalability limitations of centralized architectures. However, existing studies primarily focus on improving optimization algorithms, while la…
  europepmc Haoze Gu, Zhixin QI, Zejiao Dong, Abaho G. Gershome 2026 置信度 0.80
• Optimized Synchronization Design for UAV Swarm Network Based on Sidelink
  With the deployment and application of the fifth-generation communication technology as well as the research on the sixth-generation communication technology, the space-air-ground-sea integrated network has emerged as a key vision for future communications. Un…
  europepmc Hang Zhang, Hua-Min Chen, Qi-Jun Wei, Zhu-Wei Wang 等 2026 置信度 0.80
• Path planning and obstacle avoidance with ISS framework for a UAV swarm under unified wind, sensor noise and delay disturbances.
  europepmc 2026 置信度 0.80
• Joint Clustering and Power Optimization for the SPMA Protocol in UAV Swarm Communication in Frequency-Constrained Scenarios.
  europepmc 2026 置信度 0.80
• Residual-aware lightweight deep learning framework for high-fidelity intrusion detection in UAV swarm networks.
  europepmc 2026 置信度 0.80
• Fast and Precise Formation of UAV Swarm System via Adaptive Robust Diffeomorphism-Based Constraint-Following Control.
  europepmc 2026 置信度 0.80
• Predefined-time formation control of UAV swarm under spatiotemporal constraints.
  europepmc 2026 置信度 0.80
• Explainable multi agent reinforcement learning framework for secure and adaptive communication in UAV swarm based fanets.
  europepmc 2026 置信度 0.80
• Toward Autonomous UAV Swarm Navigation: A Review of Trajectory Design Paradigms.
  europepmc 2025 置信度 0.80
• Secure energy outage analysis of UAV swarm-based network.
  In the pursuit of enhancing energy-efficient and secure communications, this study explores secure energy outage probability (SEP) within unmanned aerial vehicle (UAV) swarm-based energy harvesting networks. UAVs, often deployed as relay nodes to facilitate co…
  pubmed Nguyen TH, Tran HV 2025 置信度 0.82
• Vision-Based UAV Swarm Cooperation and Online Point-Cloud Registration for Global Localization in GNSS-Intermittent Environments
  Reliable autonomy for drones operating in GNSS-intermittent or denied environments requires both stable inter-vehicle coordination and a shared global understanding of the environment. This paper presents a unified vision-based framework in which UAVs use biol…
  europepmc Gonzalo Garcia, Azim Eskandarian 2025 置信度 0.80
• Securing UAV Swarm-Based Smart Metering Infrastructure: A Multi-Phased Approach to Threat Mitigation
  Unmanned Aerial Vehicle (UAV) swarms offer a promising solution for revolutionizing Smart Metering Infrastructure (SMI) by enabling efficient, scalable, and cost-effective data collection. However, the deployment of UAV swarms in critical infrastructure applic…
  europepmc Qutaiba Ibrahim, Mustafa Qassab 2025 置信度 0.80
• Relative DOA estimation method for UAV swarm based on phase difference information without fixed anchors.
  A key challenge for unmanned aerial vehicle (UAV) swarms is achieving inter-aircraft relative direction of arrival (DOA) estimation in global navigation satellite system (GNSS) denied environments without relying on fixed base stations. This paper proposes a U…
  pubmed Han Y, Zhang J, Luo J 2025 置信度 0.82
• Slot Allocation Protocol for UAV Swarm Ad Hoc Networks: A Distributed Coalition Formation Game Approach.
  With the rapid development of unmanned aerial vehicle (UAV) manufacturing technology, large-scale UAV swarm ad hoc networks are becoming widely used in military and civilian spheres. UAV swarms equipped with ad hoc networks and satellite networks are being dev…
  pubmed Song L, Guo D, Liubin Song, Daoxing Guo 2025 置信度 0.82
• UAV Swarm GNSS Spoofing Defense Method Based on Consensus Artificial Potential Field
  Abstract Current global navigation satellite system (GNSS) spoofing defense strategies for unmanned aerial vehicles (UAVs) rely mainly on redundant antennas or inertial navigation systems during the action phase. However, the added payload and accumulated erro…
  europepmc Zhaojun Gu, Huan Zhao, Huitao Chen, Shuang Wang 2024 置信度 0.80
• The influence of neighbor selection on self-organized UAV swarm based on finite perception vision.
  pubmed Xiong H, Shi X, Ding Y, Liu X 等 2024 置信度 0.82
• LiFi-enabled UAV swarm networks.
  pubmed Ozyurt AB, Tinnirello I, Popoola WO 2024 置信度 0.82
• Research on UAV Swarm Network Modeling and Resilience Assessment Methods.
  europepmc 2023 置信度 0.80
• Designing UAV Swarm Experiments: A Simulator Selection and Experiment Design Process.
  europepmc 2023 置信度 0.80
• MW-MADDPG: a meta-learning based decision-making method for collaborative UAV swarm.
  europepmc 2023 置信度 0.80
• A Route Planning Method for UAV Swarm Inspection of Roads Fusing Distributed Droneport Site Selection.
  europepmc 2023 置信度 0.80
• GrpAvoid: Multigroup Collision-Avoidance Control and Optimization for UAV Swarm.
  europepmc 2023 置信度 0.80
• A Resilient Task Allocation Method for UAV Swarm Based on PSO-ILP Bilevel Nested Optimization
  Abstract Traditional task allocation methods are threatened by the complexity and adversarial nature of modern battlefields. This work focuses on the modeling, optimization, and simulation verification of UAV swarm multi-domain fighting under the constraint of…
  europepmc Yifan Zeng, Kezhou Ren, Qin Sun, Yingchao Zhang 2023 置信度 0.80
• High-Resolution L-Band TomoSAR Imaging on Forest Canopies with UAV Swarm to Detect Dielectric Constant Anomaly.
  europepmc 2023 置信度 0.80
• Anticollision Decision and Control of UAV Swarm Based on Intelligent Cognitive Game.
  europepmc 2022 置信度 0.80
• A Bio-Inspired Decision-Making Method of UAV Swarm for Attack-Defense Confrontation via Multi-Agent Reinforcement Learning.
  europepmc 2023 置信度 0.80
• RL-Based Detection, Tracking, and Classification of Malicious UAV Swarm through Airborne Cognitive Multibeam Multifunction Phased Array Radar
  Detecting, tracking, and classifying unmanned aerial vehicles (UAVs) in a swarm presents significant challenges due to their small and diverse radar cross-sections, multiple flight altitudes, velocities, and close trajectories. To overcome these challenges, ad…
  europepmc Wahab Khawaja, Qasim Yaqoob, Ismail Guvenc 2023 置信度 0.80
• Distributed UAV Swarm Formation and Collision Avoidance Strategies Over Fixed and Switching Topologies.
  europepmc 2022 置信度 0.80
• Intelligent Scheduling Methodology for UAV Swarm Remote Sensing in Distributed Photovoltaic Array Maintenance.
  europepmc 2022 置信度 0.80
• UAV Swarm Navigation Using Dynamic Adaptive Kalman Filter and Network Navigation.
  europepmc 2021 置信度 0.80
• Performance Analysis of Millimeter-Wave UAV Swarm Networks under Blockage Effects.
  Due to their high mobility, unmanned aerial vehicles (UAVs) can offer better connectivity by complement or replace with the existing terrestrial base stations (BSs) in the mobile cellular networks. In particular, introducing UAV and millimeter wave (mmWave) te…
  europepmc Haejoon Jung, In-Ho Lee 2020 置信度 0.80
• Resilience evaluation for UAV swarm performing joint reconnaissance mission.
  europepmc 2019 置信度 0.80
• Continuous patrolling in uncertain environment with the UAV swarm.
  europepmc 2018 置信度 0.80
• UAV Swarm Mission Planning in Dynamic Environment Using Consensus-Based Bundle Algorithm.
  europepmc 2020 置信度 0.80
• A bionic intelligent method combining evolutionary game theory with particle swarm optimization for UAV 3D path planning.
  europepmc 2026 置信度 0.80
• Enhanced Gold Mining Optimization with Dual-Layer Information Sharing and Dynamic Control for Multi-Objective Scheduling of Heterogeneous UAV Swarms
  europepmc 2026 置信度 0.80
• Systematic review of trends in deep learning for UAV cybersecurity.
  europepmc 2026 置信度 0.80
• Towards Sustainable Desert Agriculture: An AI-Driven UAV Intelligence Framework for Precision Monitoring and Resource Optimization
  europepmc 2026 置信度 0.80
• Neural Surrogate-Enhanced Metaheuristic Optimization for Distributed Quadrotor Swarm Control.
  europepmc 2026 置信度 0.80
• C3Q-MARL: A Framework for UAV SwarmConnectivity and Collision Avoidance
  europepmc 2026 置信度 0.80