Blockchain intelligence for internet of vehicles: Challenges and solutions

X Wang, H Zhu, Z Ning, L Guo… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
With the development of communication and networking technologies, the Internet of
Vehicles (IoV) has become the foundation of smart transportation. The development of …

[HTML][HTML] A digital twins enabled underwater intelligent internet vehicle path planning system via reinforcement learning and edge computing

J Yang, M Xi, J Wen, Y Li, HH Song - Digital Communications and Networks, 2022 - Elsevier
Abstract The Autonomous Underwater Glider (AUG) is a kind of prevailing underwater
intelligent internet vehicle and occupies a dominant position in industrial applications, in …

DQN Algorithm for network resource management in vehicular communication network

V Agarwal, S Sharma - International Journal of Information Technology, 2023 - Springer
To guarantee the effective utilization of time when users are stuck in network traffic
congestion, it is necessary to train a reinforcement learning agent that tells those routes to …

Resource allocation in V2X communications based on multi-agent reinforcement learning with attention mechanism

Y Ding, Y Huang, L Tang, X Qin, Z Jia - Mathematics, 2022 - mdpi.com
In this paper, we study the joint optimization problem of the spectrum and power allocation
for multiple vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) users in cellular …

[HTML][HTML] Joint computation offloading and resource allocation in vehicular edge computing networks

S Liu, J Tian, C Zhai, T Li - Digital Communications and Networks, 2022 - Elsevier
Abstract Vehicular Edge Computing (VEC) is a promising technique to accommodate the
computation-intensive and delay-sensitive tasks through offloading the tasks to the …

Delay-aware edge-terminal collaboration in green internet of vehicles: A multiagent soft actor-critic approach

D Wu, T Liu, Z Li, T Tang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The high performance requirement of task processing and low energy consumption
requirement of network operation result in a contradiction for the Internet of Vehicles (IoV) …

Multi-Agent Deep Reinforcement Learning for content caching within the Internet of Vehicles

A Knari, M Derfouf, MA Koulali, A Khoumsi - Ad Hoc Networks, 2024 - Elsevier
Abstract In the Internet of Vehicles (IoV), multiple applications and multimedia services are
deployed to enhance the quality of traveling experienced by passengers. These software …

DRL-Based Computation Offloading and Resource Allocation in Green MEC-Enabled Maritime-IoT Networks

Z Wei, R He, Y Li, C Song - Electronics, 2023 - mdpi.com
The maritime Internet of Things (MIoT), a maritime version of the Internet of Things (IoT), is
envisioned as a promising solution that can provide ubiquitous connectivity over land and …

Improving efficiency of DNN-based relocalization module for autonomous driving with server-side computing

D Li, H Zhang, J Cheng, B Liu - Journal of Cloud Computing, 2024 - Springer
The substantial computational demands associated with Deep Neural Network (DNN)-
based camera relocalization during the reasoning process impede their integration into …

IoT-based child tracking using RFID and GPS

N Ahmed, SK Gharghan, AH Mutlag - International Journal of …, 2023 - Taylor & Francis
With growing concerns about their children's safety and security, parents have shown an
increasing interest in creating a dependable system that allows them to track and monitor …