Resource Management in UAV Networks 资源管理是基于无人机的通信系统的另一个关键研究问题。特别是,需要一种能够动态管理各种资源的框架,包括带宽、能量、发射功率、无人机的飞行时间和无人机的数量等。例如,如何自适应地调整为地面用户服务的飞行无人机的发射功率和轨迹。在这种情况下,一个关键问题是提供最佳的带宽...
In this respect, IoT data communication security is fundamental and thus of paramount importance. However, the evident vulnerability of IoT devices and networks exposes them to various security threats that jeopardize information secrecy, service continuity, personal privacy, and even infrastructure ...
Their adaptability makes them a pivotal means of communication for IoT devices in the above scenarios [3], [4], [5]. Alongside these developments, the UAV assistance paradigm, as explored in [6], [7], offered a deeper insight into the strategic utilization of UAVs within IoT networks. ...
In this paper, we study how to optimize the federated edge learning (FEEL) in UAV-enabled Internet of things (IoT) for B5G/6G networks, from a deep reinforcement learning (DRL) approach. The federated learning is an effective framework to train a shared model between decentralized edge ...
The rapid growth of the Internet of Things (IoT) has led to an increased deployment of unmanned aerial vehicles (UAVs) across various sectors. However, efficiency and security issues are persistently among the primary challenges in UAV networks. In addition, significant communication delays can occur...
Future massive internet of thing (IoT) networks will enable the vision of smart cities, where it is anticipated that a massive number of sensor devices, in the order of tens of millions devices, ubiquitously deployed to monitor the environment. Main challenges in such a network are how to imp...
With the exponential growth of Internet of Things (IoT) applications, it is estimated that the global number of IoT devices will reach a staggering 30 billion by 2030 [1,2,3,4]. However, in regions where ground communication infrastructure is absent or in emergency scenarios, IoT devices may...
Nguyen AN, Ha DB, Truong VT, Do DT, So-In C (2022) Secrecy performance analysis and optimization for UAV-relay-enabled WPT and cooperative NOMA MEC in IoT networks. IEEE Access 11:127800–127816 Cheng Y, Li KH, Liu Y, Teh KC, Vincent Poor H (2021) Downlink and uplink intelligent ...
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Optimizing IoT Task Offloading with Federated Deep Reinforcement Learning in Vehicle and Industrial Environments 2025, Lecture Notes in Networks and Systems Multi-UAV Hierarchical Intelligent Traffic Offloading Network Optimization Based on Deep Federated Learning 2024, IEEE Internet of Things Journal Unmanned...