Blockchain-Empowered Asynchronous Federated Reinforcement Learning for IoT-Based Traffic Trajectory Prediction
B Wang, Z Tian, F Tang, H Pan… - IEEE Internet of Things …, 2025 - ieeexplore.ieee.org
Vehicle trajectory prediction plays a crucial role in IoT-based intelligent transportation
systems, which can effectively address key issues such as driving safety and multi-vehicle …
systems, which can effectively address key issues such as driving safety and multi-vehicle …
EVP-LCO: LiDAR-Camera Odometry Enhancing Vehicle Positioning for Autonomous Vehicles
As an emerging application of the Internet of Things (IoT), Autonomous Vehicles (AVs) has
attracted widespread attention from scholars. Accurate vehicle positioning is crucial for AVs …
attracted widespread attention from scholars. Accurate vehicle positioning is crucial for AVs …
Hard Sample Meta-Learning for CIR NLOS Identification in UWB Positioning
Non-line-of-sight (NLOS) identification is the key technique to improve the accuracy of the
channel impulse response (CIR) based ultrawideband (UWB) positioning system. However …
channel impulse response (CIR) based ultrawideband (UWB) positioning system. However …
Achieving Multi-Attribute Superiority and Sybil Attack Detection in IoV: A Heuristic-Based Dynamic RSU Deployment Scheme
Roadside units (RSUs) play a vital role in intelligent transportation systems (ITS), working as
critical elements in delivering superior Internet of Vehicles (IoV) services. A large service …
critical elements in delivering superior Internet of Vehicles (IoV) services. A large service …
Enhancing WRSN Sustainability Through On-Demand Directional Wireless Charging With Multiple Green-Powered Mobile Vehicles
X Ma, X Liu, N Ansari, J Ding - IEEE Internet of Things Journal, 2025 - ieeexplore.ieee.org
Current research on scheduling mobile charging vehicles (MCVs) generally focuses on
periodic and omnidirectional charging of sensor nodes (SNs). However, this approach leads …
periodic and omnidirectional charging of sensor nodes (SNs). However, this approach leads …
An Adaptive Vehicle Trajectory Prediction Scheme Based on Digital Twin Platform
Intelligent vehicles are becoming an essential means of transportation for users, which
provide them with high-quality services and convenient travel experiences. It should be …
provide them with high-quality services and convenient travel experiences. It should be …
On a Federated Learning Based Computation Offloading Strategy for Non-Terrestrial Network Assisted Internet of Medical Things
W Zou, R Zhang, Y Xun - IEEE Internet of Things Journal, 2025 - ieeexplore.ieee.org
With the rapid growth of Internet of Medical Things (IoMT) devices and the advancement of
medical Large Language Models (LLMs), smart healthcare applications including regular …
medical Large Language Models (LLMs), smart healthcare applications including regular …
AoI-Constrained Efficient 3D Far-Field Wireless Charging and Data Collection Using Multiple UAVs
As Internet of Things (IoT) networks continue to expand rapidly, remote IoT devices (IoTDs)
face significant challenges related to energy supply and data collection. On one hand …
face significant challenges related to energy supply and data collection. On one hand …
CrowdWatch: Privacy-Preserving Monitoring Leveraging Wi-Fi Multiple Access Information
The use of Multiple Access protocols information in Internet of Things environments has
gained significant interest over the past decade, particularly for crowd behavior monitoring …
gained significant interest over the past decade, particularly for crowd behavior monitoring …
MFDFormer: A Unified Multiscale Frequency Domain MetaFormer Framework for EEG-based Chronic Pain Recognition
S Qiu, K **e, J Yang, Q Yang, B Zhang… - IEEE Internet of …, 2025 - ieeexplore.ieee.org
Wearable electroencephalogram (EEG) devices have shown great potential in enabling real-
time monitoring of subtle changes in brain activity, providing new possibilities for the …
time monitoring of subtle changes in brain activity, providing new possibilities for the …