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• Simulation of Data Losses, Nonlinearity and Modulation Impact in RPAS/UAV Swarms
  Abstract Intelligence of Remotely Piloted Air System (RPAS) swarms depends on reliable communications. The parallelism and distributed characteristics of swarm intelligence provide self-adapting and reliable capabilities. This article is devoted to the calcula…
  preprints 2021 置信度 0.78
• Artificial Intelligence and Machine Learning Technologies: Innovative solutions to combat Covid-19 and maintain public health
  The novel coronavirus, Covid-19, represents a global threat to human health and economic well-being. It is a serious new disease that has emerged and placed a heavy burden on countries worldwide. Additionally, human interaction in dealing with recent pandemic …
  preprints 2023 置信度 0.78
• Intelligent UAV Deployment for a Disaster Resilient Wireless Network
  Deployment of unmanned aerial vehicles (UAVs) as aerial base stations (ABSs) has been considered to be a feasible solution to provide network coverage in scenarios where the conventional terrestrial network is overloaded or inaccessible due to an emergency sit…
  preprints 2020 置信度 0.78
• Multi-UAV Coverage Path Planning Method Based on Improved Particle Swarm Optimization
  The widespread application of unmanned aerial vehicle (UAV) has made the coverage path planning problem for multiple UAV systems a research hotspot. In this paper, we propose a multi-UAV solution to achieve complete coverage of multi-region. Based on this solu…
  crossref Yan Zhou, Yonghua Xiong 2025-02-13T13:29:08Z 置信度 0.76
• An Intelligent Multi-Hop Low Duty Cycle Uav Swarm Ad Hoc Network Mac Protocol
  crossref Yanhong Zhou, Jin Ning, Zhiheng Ding, Bin Duo 2023-03-28T10:18:21Z 置信度 0.64
• UAV Swarm Operational Risk Assessment System
  This paper examines the need for a UAV Swarm Risk Assessment Tool and how it can assist the Navy’s decision makers in assessing risk of UAV swarm threats in littoral environments, near potentially hostile countries, based on the latest intelligence. Human-cent…
  crossref Sariyu Marfo, Shane Ehler, Ryan Fields, Jamaries B. Negron 等 2017-06-08T15:49:53Z 置信度 0.72
• Communication-Aware Task Allocation for the UAV Swarm Via Multi-Objective Asynchronous Policy Learning_supp1-3626306.docx
  crossref Jie Li 2025-10-29T17:46:40Z 置信度 0.66
• A k-hop Constrained Reachability Based Proactive Connectivity Maintaining Mechanism of UAV Swarm Networks
  <p>Harsh or hostile environments may lead to node failure and connectivity degradation of a UAV swarm system. In order to maintain or restore the connectivity of a network in case of node failure, this paper proposes a mechanism to adjust the network top…
  crossref Huibin Wang Huibin Wang, Ming Chen Huibin Wang, Xianglin Wei Ming Chen 2023-12-13T03:13:22Z 置信度 0.79 cs.nicomputer and information scienceselectrical engineering, electronic engineering, information engineeringdistributed computingnetworking and internet architecture
• Formation Tracking Control for UAV Swarm Under Trajectory and Detection Constraints
  crossref Jiacheng Wang, Yang Luo, Chong Wu, Shuangai Wan 等 2026-05-10T22:45:12Z 置信度 0.66
• SERE: Self-Adversarial Rule Evolution with Memory for Interpretable UAV Swarm Tactics
  Discovering effective tactics for unmanned aerial vehicle (UAV) swarm confrontation remains challenging due to the discrete policy space and intransitive game dynamics. To address this, we propose the Swarm Engagement Rule Evolution (SERE), a memory-augmented …
  crossref Chen Wang, Bai Jiangyao, Yongkang Zhou, Cheng Zhu 等 2026-04-16T16:36:36Z 置信度 0.82 computer and information sciencescs.aics.lgelectrical engineering, electronic engineering, information engineeringrobotics
• A new UAV assignment model based on PSO
  An unmanned aerial vehicle (UAV) assignment model requires allocating vehicles to targets to perform various tasks. It is a complex assignment problem with hard constraints, and potential dimensional explosion when the scenarios become more complicated and the…
  crossref Feng Pan, Xiaohui Hu, Russ Eberhart, Yaobin Chen 2008-11-11T18:53:38Z 置信度 0.70
• Swarm UAV Communications with Diversity and Delay Trade-off using Mobile Caching
  Swarm unmanned aerial vehicles (UAVs) are critical to a number of smart city applications, such as distributed sensing and disaster relief. Connected UAVs often operate in complex environments where the communication channels suffer fading loss. Achieving full…
  crossref Weisi Guo 2020-04-21T01:12:51Z 置信度 0.74
• A Communication System for Dynamic Leader Selection in Distributed UAV Swarm Architecture
  Distributed swarm robot systems are made up of several robots that communicate with one another and often work together to complete a task or reach a predetermined objective. These systems frequently consist of many platforms, like unmanned aerial aircraft, mo…
  crossref Abdulmelik Bekmez, Kadir Aram 2024-08-22T23:11:02Z 置信度 0.82 computer sciencecomputer and information sciencesroboticselectrical engineering, electronic engineering, information engineeringcs.ro
• Cooperative Task Offloading in UAV Swarm-based Edge Computing
  Mobile edge computing (MEC) has been envisioned as a promising technology to meet ever-increasing demands on computational resources. Due to the fixed deployment and limited coverage of conventional MEC, unmanned aerial vehicle (UAV) edge computing began to re…
  crossref Yutao Wang, Hongzhi Guo, Jiajia Liu 2022-02-02T16:59:04Z 置信度 0.74
• Intelligent Routing Strategies in UAV Swarm Operations
  This study explores the potential of artificial intelligence-based methods for route planning in unmanned aerial vehicle (UAV) swarm systems, with a particular focus on the advantages of the Q-learning algorithm in dynamic and uncertain environments, where tra…
  crossref Serap Kilinc, Meltem Yildirim Imamoglu 2025-07-10T17:45:06Z 置信度 0.76
• Lightweight Secure Communication Supporting Batch Authentication for UAV Swarm
  In recent years, with the widespread application of UAV swarm, the security problems faced have been gradually discovered, such as the lack of reliable identity authentication, which makes UAVs vulnerable to invasion. To solve these security problems, a lightw…
  crossref Pengbin Han, Aina Sui, Jiang Wu 2025-02-13T10:36:58Z 置信度 0.82 computer securityblockchaincs.nicryptography and securitycomputer and information sciences
• A Simulation-Driven Hierarchical Stackelberg-DMPC Framework for UAV Swarm Interception
  This paper proposes a simulation-driven hierarchical Stackelberg–distributed model predictive control framework (SHS-DMPC) for intercepting multi-wave UAV swarm attacks under limited defensive resources. The interaction between the defender and the attacker is…
  crossref Zhao Sun, Guangjun He 2026-08-20T16:05:19Z 置信度 0.82 computer and information scienceselectrical engineering, electronic engineering, information engineeringroboticseess.syinformation theory
• UAV Swarm Intelligence: Recent Advances and Future Trends
  The dynamic uncertain environment and complex tasks determine that the unmanned aerial vehicle (UAV) system is bound to develop towards clustering, autonomy, and intelligence. In this article, we present a comprehensive survey of UAV swarm intelligence from th…
  crossref Yongkun Zhou, Bin Rao, Wei Wang 2020-10-06T15:32:23Z 置信度 0.74
• Adaptive Nonlinear PID Control for a Quadrotor UAV Using Particle Swarm Optimization
  This paper presents an online robust non-linear trajectory tracking control strategy for a quadrotor helicopter (UAV). In order to improve the system response, the automatic-adjustable integral action is integrated to the non-linear controller. Then, the contr…
  crossref Babak Salamat, Andrea M. Tonello 2019-06-20T23:33:37Z 置信度 0.74
• Optimizing Swarm UAV Scheduling for Efficiency in Complex Operations and Collision Avoidance
  The use of drones or Unmanned Aerial Vehicle (UAVs) has rapidly evolved across various civil, public, and military applications over the past two decades. Military UAVs have long been used for border surveillance, while civilian UAVs can monitor traffic, provi…
  crossref Annisa Amalia Raharja 2024-10-29T12:56:51Z 置信度 0.82 computer scienceroboticseess.spsystems and controlcs.ro
• Intelligent UAV Swarm Coexistence in DTV Bands
  Intelligent spectrum sharing is one of the key enablers of upcoming sixth generation (6G) communications. Unmanned aerial vehicles (UAVs) have emerged as an attractive low altitude aerial base station (BS), providing on demand capacity especially in urban area…
  crossref Rajrshi Dubey, Ashutosh Balakrishnan, Swades De 2025-01-10T19:44:30Z 置信度 0.76
• A Novel Gps Spoofing Detection Method for Uav Swarm Based on Heterogeneous Redundancy Adjudication
  crossref Lianxiao Meng, Xiangyang Luo, Chunfang Yang, Shichang Ding 2024-06-25T01:18:09Z 置信度 0.66
• Research on UAV-USV cooperative pursuit method based on deep reinforcement learning
  crossref Shoucong Wang, Yong Xie, Xiaobo Liu 2026-06-11T14:13:43Z 置信度 0.63
• Design of Red-Blue Confrontation Module for UAV Swarm Simulation System
  crossref Zehao Bai, Dongxiao Yang, Juan Li, Chang Liu 2024-06-14T18:02:53Z 置信度 0.66
• Blockchain-based Secure Data Transmission for UAV Swarm using Modified Particle Swarm Optimization Path Planning Algorithm
  With the rapid development of unmanned aerial vehicles assisted applications enabled with a communication system, they are open to various malicious attacks. As a new form of flying things, they can access the network for better communication via the aerial ba…
  crossref M. Kayalvizhi, S. Ramamoorthy 2021-12-06T12:27:39Z 置信度 0.74
• Adaptive Dynamic Task Scheduling for Uav Swarm: Optimizing Time and Energy in Surveillance of Dynamic Environments
  crossref Saeid Alirezazadeh, Nuno Rodrigues, António Pereira 2025-07-11T01:43:21Z 置信度 0.66
• UAV swarm control algorithm based on Kalman filter and particle swarm optimization
  This paper studies the passive localization and control of two-dimensional planar UAV swarm under velocity information and azimuth information. We propose a UAV swarm control algorithm based on azimuth information and velocity information. This paper establish…
  crossref Hongyi Qiu, Tingting Yan, Long Ma, Guodong Yue 2023-07-28T17:39:22Z 置信度 0.74
• Rechargeable Uav Swarm Speed Control and Energy-Saving Scheduling Scheme
  crossref Jianbin Xue, Fukai Xing, Jupeng Li 2022-07-10T10:55:39Z 置信度 0.64
• 3.7 Micro-UAV Swarm Testbed for Indoor Applications
  This contribution describes a testbed for the development of resourceconstrained micro-UAV (Unmanned Aerial Vehicle) swarms . The testbed architecture combines external observation, visualization of logistic scenarios, and simulation systems with a drone contr…
  crossref Nils Gramse, Moritz Roidl, Shrutarv Awasthi, Christopher Reining 2022-12-20T06:25:19Z 置信度 0.74
• Decentralized UAV Swarm Scheduling with Constrained Task Exploration Balance
  Scheduling is one of the key technologies used in unmanned aerial vehicle (UAV) swarms. Scheduling determines whether a task can be completed and when the task is complete. The distributed method is a fast way to realize swarm scheduling. It has no central nod…
  crossref Runfeng Chen, Jie Li, Ting Peng 2023-04-14T01:32:03Z 置信度 0.79 cs.roeess.syelectrical engineering, electronic engineering, information engineeringmath.oceess.sp
• Deep Learning-Based Estimation of UAV-Swarm Communication Constraints
  UAV swarms must often follow predefined trajectories while preserving relative positions under changing communication conditions. We estimate communication failure rate and maximum range from a compact set of high-level swarm metrics. The proposed approach use…
  crossref Laércio Lucchesi, Bruno Olivieri, Markus Endler, Paulo Ivson 2026-07-07T03:17:43Z 置信度 0.76
• Research on UAV Swarm Cooperative Reconnaissance and Combat Technology
  This article summarizes the latest research progress of UAV swarm collaborative reconnaissance and combat technology, and analyzes the key issues according to actual needs Aiming at the coordinated reconnaissance and combat operations of UAV swarm, a General f…
  crossref Rui Li, Hongzhong Ma 2020-12-08T04:22:52Z 置信度 0.74
• Mission Reliability Modeling and Importance Analysis of UAV Swarm
  摘要： 面对复杂、高对抗的战场环境,传统以平台为中心的静态可靠性评估难以满足无人机集群执行多样化任务的可靠性分析需求。由于无人机集群本身具有一定的冗余性,对其可靠性的研究重点已转变为以任务为中心的可靠性。及时、准确评估无人机集群任务可靠性,并分析集群的薄弱环节,对于任务规划、决策制定和提高任务成功率具有重要意义。根据集群的编队队形和任务,建立基于一维线性连续n中取k系统和二维连续(m, n)中取(r, s)系统的无人机集群任务可靠性模型,并得出当集群中不同位置的某架或某些无人机失效时对集群任务可靠性变化以及性能的影…
  crossref 2023-05-08T01:29:55Z 置信度 0.72
• Multi-Agent Trajectory Prediction for Urban Environments with UAV Data Using Enhanced Temporal Kolmogorov-Arnold Networks with Particle Swarm Optimization
  crossref Mohammad Mohebbi, Elahe Kafash, Mario Döller 2025-02-28T12:43:20Z 置信度 0.66
• The Essential Role of Cybersecurity in UAV Swarm Operations
  crossref Fida Muhammad Khan, Taj Rahman, Asim Zeb, Inam Ullah 等 2025-02-28T01:30:31Z 置信度 0.66
• Distributed UAV Swarm Formation Control via Object-Focused, Multi-Objective SARSA
  We present a novel multi-objective reinforcement learning formulation of the decentralized formation control problem for swarms of fixed-wing UAVs based on a relative state-space construction of obstacles and waypoints. Specifically, a modular state-action-rew…
  crossref Christian Speck, Donald J. Bucci 2018-08-17T20:16:10Z 置信度 0.72
• Physical Layer Security for UAV Swarm Communications via Protected Zone
  Along with the appealing uses cases of the unmanned aerial vehicles (UAVs) for the next-generation wireless communications, the privacy of the information and the robustness against malicious attacks are of significant concern in this paradigm shift. In this s…
  crossref Yavuz Yapici, İsmail Güvenç, Huaiyu Dai, Arupjyoti Bhuyan 2020-01-31T02:07:51Z 置信度 0.74
• Unmanned Aerial Vehicle Navigation Using Deep Learning
  Unmanned aerial vehicles (UAVs) have become a hot topic around the world. They are used in military applications as well as in private industry. UAV navigation is one of the most important areas in UAV development. Object detection and tracking, autonomous lan…
  crossref Yongzhi Yang, Kenneth G. Ricks, Fei Hu 2020-12-02T06:33:35Z 置信度 0.74
• Task-driven Decentralized Decision-making Method for UAV Swarm with Behavior Regulation under Communication Delay
  Classic swarm models attribute behavioral emergence to individual-level local interactions, enabling unmanned aerial vehicle (UAV) swarms to execute basic tasks. However, communication delay and packet loss caused by electromagnetic interference or link fluctu…
  crossref Ziwei Xin, Juan Li, Jie Li, Chang Liu 2026-02-23T16:41:38Z 置信度 0.82 computer and information scienceselectrical engineering, electronic engineering, information engineeringcomputer sciencesignal processingrobotics
• Switched Robust Model Predictive Based Controller for UAV Swarm System
  The formation decentralized control problem for multi-agent system with leader-follower consensus is investigated. MPC controller is proposed for trajectory tracking of the system. In order to increase the robustness of the system, a tube MPC theory is suggest…
  crossref Erfan Nejabat, Amirhossein Nikoofard 2021-10-05T06:43:31Z 置信度 0.74
• Bioinspired swarm intelligence algorithms for cooperative UAV systems
  crossref Muhammed Murat Yanaşoğlu, Sarumi Usman Abidemi, Cliford Peter Mlimwa, Sinem Alturjman 等 2026-08-17T16:34:34Z 置信度 0.66
• A multi-strategy optimizer for energy minimization of multi-UAV-assisted mobile edge computing
  crossref Yang Chen, Dechang Pi, Shengxiang Yang, Yue Xu 等 2024-10-11T12:11:31Z 置信度 0.63
• Communication-Efficient Edge–Ground Collaborative Anomaly Detection for Networked UAV Swarm Applications
  Networked unmanned aerial vehicle (UAV) swarms are increasingly used as mobile sensing, communication, and edge-computing platforms. However, cyber intrusions and onboard physical faults may jointly affect communication reliability, data integrity, local infer…
  crossref Ning Bai, Xiaoya Hu, Hongliang Gao, Hassan Jalil Hadi 等 2026-07-09T01:41:57Z 置信度 0.82 computer and information scienceselectrical engineering, electronic engineering, information engineeringsignal processingsystems and controlrobotics
• AI-Driven Cyber-Resilient UAV Swarm Architecture for Aerospace Missions
  Unmanned aerial vehicle (UAV) swarms deployed in contested aerospace environments have been targets of increasingly sophisticated cyber threats, including Global Positioning System (GPS) spoofing, communications jamming, adversarial machine learning manipulati…
  crossref Nayeem Ahmad Khan 2026-05-22T19:34:19Z 置信度 0.76
• A Distributed Target Allocation Algorithm for UAV Swarm Confrontation
  Most traditional unmanned aerial vehicle (UAV) countermeasures algorithms use centralized task allocation algorithm for target matching and optimization in static environment with limited aircraft units. It is questionable for the dynamic confrontation task of…
  crossref Ziqi Guo, Yuankai Li, Yuan Wang, Xiaosu Tan 2023-03-13T17:42:53Z 置信度 0.74
• An Improved Particle Swarm Algorithm for UAV Path Planning
  Optimizing UAV flight paths is a critical challenge for modern unmanned aircraft systems. Conventional manual methods are inefficient and error-prone. To address this, we propose an improved 3D path planning algorithm using particle swarm optimization. Our met…
  crossref Suping Liu 2023-09-27T13:32:02Z 置信度 0.74
• PHL: An Adaptive Multi-Objective Hybrid Algorithm for UAV Swarm Path Planning
  Unmanned Aerial Vehicles (UAVs) are widely used for surveillance, logistics, and disaster response activities. However, real-time navigation, energy-efficient routing, and safe maneuvering in unpredictable environments continue to pose a challenge for swarm-ba…
  crossref 2025-10-02T08:21:20Z 置信度 0.76
• Classified Collaborative Navigation Algorithm for UAV Swarm in Satellite-denied Environments
  Collaborative navigation technology realizes positioning through the interactive sharing of various navigation information among individuals, which has outstanding effect on raising navigation accuracy. Aiming at the problem that it is difficult for unmanned a…
  crossref Haoqian Zhang, Zhihong Deng, Ping Zhang 2023-03-13T13:42:53Z 置信度 0.74
• UWB System Based UAV Swarm Testbed
  Swarming of unmanned aerial vehicles (UAVs) has become a popular topic for its practicability in many scenarios. However an easy-to-use yet powerful swarm testbed is not widely available for most of the research labs globally. In this paper, a UAV swarm testbe…
  crossref Weihua Zhao, Chiew Soon Hooi 2021-01-10T05:23:59Z 置信度 0.74
• Efficient UAV Localization Based on Modified Particle Swarm Optimization
  In UAV communication network, accurate and fast localization is a critical issue, especially when UAV has high mobility, strict energy constraints and collision avoidance requirements. Conventional image or GPS based UAV localization methods suffer from either…
  crossref Weizheng Zhang, Wei Zhang 2022-07-11T16:02:54Z 置信度 0.74
• Right-of-Way Compliance in UAV Swarm Networks
  crossref Jacob Hagberg, Paul Snyder, Sreejith Vidhyadharan 2026-06-24T19:48:08Z 置信度 0.66
• UAV Swarm Dynamic Task Allocation via Merged Coordination-Optimized Pigeon-Inspired Optimization
  To tackle the dynamic assignment problem of unmanned aerial vehicle (UAV) swarms, a merged coordination-optimized pigeon-inspired optimization (MCOPIO) algorithm based on the pigeon-inspired optimization (PIO) algorithm is proposed in this paper. The algorithm…
  crossref Yingran Zhao, Wenju Hu 2026-06-30T05:58:04Z 置信度 0.82 eess.symath.ocelectrical engineering, electronic engineering, information engineeringsystems and controlnetworking and internet architecture
• Intelligent UAV swarm scheduling algorithm for urban inspection task
  This research develops an intelligent UAV swarm scheduling algorithm to optimize urban infrastructure inspection processes by minimizing inspection time while ensuring comprehensive coverage. We formulate the challenge as a mixed integer non-linear programming…
  crossref Haoyu Xu 2025-05-05T04:24:07Z 置信度 0.82 computer sciencecomputer and information scienceselectrical engineering, electronic engineering, information engineeringsignal processingengineering
• An Unsupervised Grouping Method for UAV Swarm Based on Gaussian Function
  crossref Guoqi Zeng, Pengyu Shi, Li Yang, Xiaoduo Li 等 2026-05-10T23:14:15Z 置信度 0.66
• Low Latency Reliable Data Sharing Mechanism for UAV Swarm Missions
  The use of Unmanned Aerial Vehicle (UAV) swarms is increasing in many commercial applications as well as military applications (such as reconnaissance missions, search and rescue missions). Autonomous UAV swarm systems rely on multi-node interhost communicatio…
  crossref Fatih Kilic, Wolfram Hardt 2023-01-16T14:41:10Z 置信度 0.79 computer and information sciencescomputer scienceelectrical engineering, electronic engineering, information engineeringartificial intelligencenetworking and internet architecture
• Integrated Communication-Navigation-Sensing-Control for Small UAV Swarm: Opportunities, Challenges, and Prospects
  crossref Yihui Zhu, Shangbin Zhang, Boyan Fu, Baohua Li 等 2026-05-11T00:16:37Z 置信度 0.66
• Motion Planning of UAV Swarm: Recent Challenges and Approaches
  The unmanned aerial vehicle (UAV) swarm is gaining massive interest for researchers as it has huge significance over a single UAV. Many studies focus only on a few challenges of this complex multidisciplinary group. Most of them have certain limitations. This …
  crossref Muhammad Mubashir Iqbal, Zain Anwar Ali, Rehan Khan, Muhammad Shafiq 2022-08-18T14:10:35Z 置信度 0.79 computer sciencecomputer and information sciencescs.roeess.spelectrical engineering, electronic engineering, information engineering
• Relative navigation of UAV in a swarm
  The problem of obtaining high-precision coordinate values in a UAV swarm is considered. The hierarchical structure of a UAV swarm, the composition of onboard equipment and the exchanged information is developed. For high-precision local distance measurements b…
  crossref Valerii B. Uspenskyi, Natalia V. Shyriaieva 2023-11-15T18:50:29Z 置信度 0.74
• Modeling Urban Environments for Communication-Aware UAV Swarm Path Planning
  Presented at the AIAA Modeling and Simulation Technologies Conference, Toronto, Ontario, Canada, August, 2010.
  crossref Hans Claus Christmann, Eric Johnson 2013-12-03T19:12:15Z 置信度 0.68
• A Supervised and Transfer Learning Based Two-Stage Framework for UAV Swarm Multi-Target Tracking
  The Cooperative Multi-Robot Observation of Multiple Moving Targets (CMOMMT) is a representative task in IoTenabled applications. In this task, UAV swarm aim to maximize the average observation rate by tracking previously detected targets while searching for un…
  crossref Haoran Sun, Xianfeng Li, Yicheng Yan, Tong Jiang 等 2025-10-03T17:08:41Z 置信度 0.82 computer and information sciencescs.aielectrical engineering, electronic engineering, information engineeringcs.lgreinforcement learning
• Examining application-specific resiliency implementations in UAV swarm scenarios
  The number of real-world scenarios where the use of an unmanned aerial vehicle (UAV) swarm is beneficial has greatly increased in recent years. From precision agriculture to forest fire monitoring, post-disaster search and rescue applications, to military use,…
  crossref Abhishek Phadke, F. Antonio Medrano 2023-09-26T06:36:33Z 置信度 0.79 computer and information scienceseess.spcs.roelectrical engineering, electronic engineering, information engineeringrobotics
• Skeletal Virtual Tube Generation for Urban UAV Swarm Navigation
  crossref Xunhua Dai, Yuting Liao 2026-08-04T19:14:09Z 置信度 0.66
• Optimizing UAV Swarm-Based Cooperative Transmission Using OTFS Modulation
  Unmanned aerial vehicles (UAVs) are capable of enhancing communication coverage and facilitating critical communication networks through their mobility. Furthermore, the UAV swarms are being deployed across diverse civil and mil-itary applications. This paper …
  crossref Usman Iqbal, Haejoon Jung 2025-01-10T19:59:29Z 置信度 0.76
• Simulation-Based Analysis of Autonomous UAV Swarm Spraying for Precision Agriculture
  The advancement of unmanned aerial vehicles (UAVs) has transformed key sectors such as transportation, surveillance, defense, and agriculture. In precision agriculture, UAV spraying has emerged as a promising approach, offering lower cost, improved efficiency,…
  crossref Ryker Davis, Neelakshi Majumdar, Cengiz Koparan 2026-06-04T17:45:42Z 置信度 0.76
• Limitations of Boid Algorithms in UAV Swarm Control: A Simulation-Based Analysis
  This paper presents a comprehensive analysis of the limitations of boid algorithms when applied to Unmanned Aerial Vehicle (UAV) swarm control through extensive simulation studies. While boid algorithms have served as foundational models for collective behavio…
  crossref 2025-10-22T11:56:12Z 置信度 0.76
• Joint Optimization Method of Spectrum Resource for UAV Swarm Information Transmission
  For the problems brought by malicious interference in the unmanned aerial vehicle (UAV) swarm network, we establish a cluster-based UAV swarm information transmission model. We mainly consider four aspects: cluster head selection, channel allocation, power all…
  crossref Di Wu, Yu Zhang, Yong Chen 2022-10-19T20:32:23Z 置信度 0.79 electrical engineering, electronic engineering, information engineeringcomputer and information scienceseess.spsignal processingcs.ni
• UAV Swarm Trajectory Planning Based on a Novel Particle Swarm Optimization
  crossref Jing Luo, Jie Liu, QianChao Liang 2022-03-18T00:21:51Z 置信度 0.64
• A cognitive synergetic hierarchical framework for UAV swarm combat via speculative inference and role-decoupled reinforcement learning.
  In the high-stakes arena of aerial combat-a domain defined by extreme dynamics and unforgiving physical constraints-UAV swarms are currently squeezed between two extremes: the "tactical short-sightedness" of Multi-Agent Reinforcement Learning (MARL) and the "i…
  europepmc 2026 置信度 0.94 computer and information sciencescs.aiartificial intelligencecomputer sciencecs.lg
• Fisher-Information-Based Cooperative Sensor Node Pre-Selection for UWB-Aided GNSS-Denied UAV Swarm Localization Under Heterogeneous Ranging Noise.
  Ultra-wideband (UWB) inter-node ranging provides relative-distance constraints for cooperative localization in GNSS-denied UAV swarms, but dense candidate networks can exceed the available ranging slots, communication bandwidth, computation, and energy. This p…
  europepmc 2026 置信度 0.87
• An enhanced snow ablation optimizer for UAV swarm path planning and engineering design problems.
  pubmed Jinyi Xie, Jiacheng He, Zehua Gao, Shiya Wang 等 2024 置信度 0.77
• Cyber-Resilience and Trust-Aware Command Authorization for Autonomous UAV Swarms in GPS-Denied Environments
  Abstract Autonomous UAV swarms increasingly depend on remote and peer-issued commands while operating under uncertain communication, localization, and infrastructure conditions. A command can be cryptographically authentic yet operationally unsafe because the …
  europepmc 2026 置信度 0.87
• Edge-Enabled Autonomous UAV Systems for Disaster Management: Integrating Social Intelligence, Vision-Language Models, and Computational Sensing
  Unmanned aerial vehicles (UAVs) have become indispensable tools for disaster preparedness, response, and recovery, offering rapid situational awareness in environments where terrestrial infrastructure is degraded or absent. This review surveys four strands of …
  europepmc 2026 置信度 0.87
• A Communication-Aware Path Planning Algorithm for Power Inspection UAVs Using an Improved Grey Wolf Optimizer
  Unmanned Aerial Vehicles (UAVs) are revolutionizing power grid inspection, yet ensuring reliable, high-quality image transmission in complex environments remains a significant challenge for autonomous operations. Traditional path planning algorithms often negl…
  europepmc 2026 置信度 0.87
• Towards the Low Speed and Highly Agile UAV through a Novel Fuselage Design, Slender Leading Edge Extensions and the Wake Ingestion Concept
  Nowadays there is a strong demand for light,economical and high maneuverable UAVs that when operating in a swarm formation they can infer a considerable military impact. This group of Aircrafts (A/C) can act complementary to conventional airforce as a means to…
  europepmc 2026 置信度 0.87
• Policy-Gated Firmware Trust and Anti-Rollback Resilience for Autonomous UAV Edge Platforms: A Formal Security and Software Validation
  Abstract Autonomous unmanned aerial vehicles (UAVs) increasingly rely on software-defined sensing, estimation, networking, and decision pipelines, making firmware integrity a prerequisite for trustworthy autonomy. A compromised or downgraded firmware image can…
  europepmc 2026 置信度 0.87
• Autonomous Rescue Robots for Post-Disaster Search, Navigation, and Victim Assistance
  Natural and man-made disasters such as earthquakes, building collapses, floods, and industrial accidents create environments that are too dangerous, unstable, or inaccessible for human first responders to enter safely, yet the first hours after such events are…
  europepmc 2026 置信度 0.87
• Large-Scale Multi-UAV Task Allocation via a Centrality-Driven Load-Aware Adaptive Consensus Bundle Algorithm for Biomimetic Swarm Coordination.
  Large multi-UAV mission systems operate over time-varying communication graphs with heterogeneous platforms, where classical distributed task assignment may incur excessive message passing and suboptimal task-resource matching. To address these challenges, thi…
  europepmc 2026 置信度 0.87
• Multi-UAV collaborative path planning base on CycA-MASAC Reinforcement Learning in GPS-denied Environment
  Abstract This paper addresses the issue of collaborative path planning for UAVs in GPS-denied environments, proposing an improved multi-agent deep reinforcement learning algorithm, Cycloidal Annealing -MASAC (CycA-MASAC). By designing a reward function for UAV…
  europepmc 2026 置信度 0.87
• A Resilient Cloud-Edge Digital Twin Framework for Urban UAV Logistics Under 3D Blockages and ADS-B Signal Anomalies.
  Urban low-altitude unmanned aerial vehicle (UAV) logistics networks face critical operational bottlenecks due to complex three-dimensional spatial blockages, continuous communication diffraction, and severe vulnerability to information-layer threats such as Au…
  europepmc 2026 置信度 0.94 computer and information sciencescomputer scienceelectrical engineering, electronic engineering, information engineeringsignal processingdistributed computing
• Chasing Ghosts: A Simulation-to-Real Olfactory Navigation Stack with Optional Vision Augmentation.
  Autonomous odor source localization remains a challenging problem for aerial robots due to turbulent airflow, sparse and delayed sensory signals, and strict payload and computation constraints. While prior unmanned aerial vehicle (UAV)-based olfaction systems …
  europepmc 2026 置信度 0.94 computer and information scienceselectrical engineering, electronic engineering, information engineeringroboticscs.rosystems and control
• Robust Distributed Control Strategy forFormation Reconfiguration of Autonomous Multi-UAV Systems Using Flocking Behavior
  Abstract This paper presents a distributed formation control method for multi-quadcopter systems based on a virtual-leader approach with a dynamic reconfiguration strategy. The proposed framework generates reference positions for each quadcopter by mapping pre…
  europepmc 2026 置信度 0.87
• Distributed Multi-UAV MARL for Joint Relay Connectivity and Aerial Sensing in Post-Disaster Networks
  Abstract In post-disaster scenarios where terrestrial communication infrastructure is partially damaged, a unmanned aerial vehicles (UAV) swarm must jointly maintain end-to-end connectivity while collecting uplink data from ground users and performing aerial i…
  europepmc 2026 置信度 0.87
• Lightweight Online Offline Authenticated Encryption for Secure UAV Systems
  Abstract Unmanned aerial vehicles (UAVs) are rapidly being used for surveillance, environmental monitoring, disaster response, and intelligent transportation systems. However, protecting their connection remains a significant issue due to open wireless channel…
  europepmc 2026 置信度 0.87
• Multi-Head Attention Deep Q-Network with Prioritized Experience Replay for UAV Path Planning in Dynamic Environments: A Bio-Inspired Approach.
  Unmanned Aerial Vehicles (UAVs) have become widely used tools for different applications including surveillance, search and rescue, and package delivery. However, autonomous path planning in dynamic environments with moving obstacles, wind disturbances, and en…
  europepmc 2026 置信度 0.87
• Adaptive Formation Control for Multi-UAV Swarms in Cluttered Environments with Communication Delays under Directed Switching Topologies
  This paper addresses distributed formation control for multiple unmanned aerial vehicles (UAVs) operating in obstacle-dense environments under directed switching communication topologies. A leader–follower architecture is adopted, wherein the leader performs o…
  europepmc 2026 置信度 0.87
• Early Detection of Spoofing Threats and Network Resilience Prediction in Drones Based on GRU and LSTM.
  As unmanned aerial vehicles (UAVs) are increasingly deployed in mission-critical domains such as military operations, infrastructure inspection, and disaster response, the threat of GPS and network spoofing attacks has emerged as a fundamental challenge to ope…
  europepmc 2026 置信度 0.87
• A Resilient Distributed Pareto-Based PSO for Edge-UAVs Deployment Optimization in Internet of Flying Things.
  Particle Swarm Optimization (PSO) has been widely employed to optimize the deployment of Unmanned Aerial Vehicles (UAVs) in various scenarios, particularly because of its efficiency in handling both single and multi-objective optimization problems. In this pap…
  europepmc 2025 置信度 0.87
• Outage performance of UAV-NOMA networks over rician faded channel with hardware impairments, channel estimation error, and SIC imperfection.
  The escalating demand for enhanced coverage and high data rates in wireless networks is driving the adoption of advanced technologies like unmanned aerial vehicles (UAVs). Integrating UAVs with non-orthogonal multiple access (NOMA) has emerged as a promising s…
  europepmc 2026 置信度 0.87
• A Physics-Informed Residual and Particle Swarm Optimization Framework for Physics-Informed UAV GPS Spoofing Detection.
  Global Positioning System (GPS) spoofing poses a significant threat to the reliability of unmanned aerial vehicle (UAV) navigation systems that rely heavily on Global Navigation Satellite Systems (GNSS). To address this challenge, we propose a detection framew…
  europepmc 2025 置信度 0.87
• An in depth investigation on device-to-device communication in heterogeneous networks: opportunities and challenges.
  Accurate data from appropriate areas and in rural areas collect reliably and quickly with the help of UAVs. UAVs are used to gather any type of information either from land, sea, or air. The communication between UAV to UAV and UAV to the ground requires some …
  europepmc 2026 置信度 0.87
• A meta-analysis of human-system interfaces in unmanned aerial vehicle (UAV) swarm management.
  A meta-analysis was conducted to systematically evaluate the current state of research on human-system interfaces for users controlling semi-autonomous swarms composed of groups of drones or unmanned aerial vehicles (UAVs). UAV swarms pose several human factor…
  europepmc 2017 置信度 0.83
• A hybrid fungal growth and differential evolution algorithm for energy-efficient UAV trajectory planning in MEC.
  The deployment of Unmanned Aerial Vehicles (UAVs) in conjunction with Mobile Edge Computing (MEC) has come to be a viable approach to solve some challenges that face the internet of things systems, including energy consumption, latency, and data processing eff…
  europepmc 2026 置信度 0.87
• A Lie group-based hybrid optimization framework for multi-objective UAV path planning using L-VGWO.
  To address the challenges of high-precision pose alignment, dynamic path smoothness, and efficient multi-objective optimization in three-dimensional UAV path planning under complex environments, this study proposes the Lie Group-based Griffon Vulture Grey Wolf…
  europepmc 2026 置信度 0.87
• Hybrid Harris Hawks optimization with eagle strategy particle swarm optimization for stability and disturbance rejection in tethered UAV systems.
  In the paper, a new hybrid optimization method is proposed to design an advanced attitude controller of tethered UAVs. The suggested methodology builds on the use of a Fractional-Order Proportional-Derivative-Derivative Integral (FOPDD-I) controller, which is …
  europepmc 2025 置信度 0.87
• UAV-Assisted Cooperative Vehicular Communication: Modelling, Optimization, and Performance Analysis
  Abstract In beyond 5G (B5G) wireless networks, the Unmanned aerial vehicles (UAVs) are being used as flying base stations (BSs) to help ease strain on communication networks during peak traffic or when network outages occur. In this work, a hybrid communicatio…
  europepmc 2025 置信度 0.87
• Reliability-oriented framework for UAV-based inspection missions in modern power and energy systems.
  Ensuring mission reliability is vital for the autonomous deployment of unmanned aerial vehicles (UAVs) in modern power and energy systems, particularly under spatial and operational constraints. This study presents a data-driven classification method that asse…
  europepmc 2025 置信度 0.87
• Benchmarking Multilayer Perceptron Configurations for Damage Classification in UAV Composite Wings Using Fiber Bragg Gratings Sensors.
  Structural damage classification in composite UAV wings is a key challenge in Structural Health Monitoring (SHM), particularly under barely visible impact damage conditions. Fiber Bragg Grating (FBG) sensor networks provide high-resolution strain data; however…
  europepmc 2026 置信度 0.87
• Distributed UAV Swarm Augmented Wideband Spectrum Sensing Using Nyquist Folding Receiver
  <p>Distributed unmanned aerial vehicle (UAV) swarms are formed by multiple UAVs with increased portability, higher levels of sensing capabilities, and more powerful autonomy. These features make them attractive for many recent applications, potentially i…
  crossref Kaili Jiang 2023-07-10T07:26:02Z 置信度 0.79 eess.spelectrical engineering, electronic engineering, information engineeringcomputer and information sciencessignal processingcs.ni
• Distributed UAV Swarm Augmented Wideband Spectrum Sensing Using Nyquist Folding Receiver
  Distributed unmanned aerial vehicle (UAV) swarms are formed by multiple UAVs with increased portability, higher levels of sensing capabilities, and more powerful autonomy. These features make them attractive for many recent applications, potentially increasing…
  crossref Kaili Jiang 2023-07-10T03:25:59Z 置信度 0.79 eess.spelectrical engineering, electronic engineering, information engineeringcomputer and information sciencessignal processingcs.ni
• Synergetic Control Framework for Autonomous UAV Swarm Coordination
  This study presents a synergetic control approach for coordinating the motion of a UAV swarm based on self-organization principles and energy-potential interactions. The proposed method effectively addresses the known limitations of traditional potential field…
  europepmc Valerii Chepizhenko, Svitlana Pavlova, Fuzhong Li 2026 置信度 0.94 underwatereess.syrobotcomputer and information sciencescontrol theory