Integral sliding mode control for a class of nonlinear multiagent systems with multiple time-varying delays

J Feng, W Wang, HB Zeng - IEEE Access, 2024 - ieeexplore.ieee.org
This paper deals with the stability of nonlinear multi-agent systems (MASs) with multiple time
delays. A class of multi-agent system (MAS) is constructed considering the effects of multiple …

New Method of Edge Computing-Based Data Adaptive Return in Internet of Vehicles

D Zhang, J Zhang, C Ni, T Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Edge computing technology can be used to the Internet of Vehicles (IOV) to solve the mobile
characteristics of vehicles and the limited communication range between roadside units and …

Cooperative edge caching based on elastic federated and multi-agent deep reinforcement learning in next-generation networks

Q Wu, W Wang, P Fan, Q Fan, H Zhu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Edge caching is a promising solution for next-generation networks by empowering caching
units in small-cell base stations (SBSs), which allows user equipments (UEs) to fetch users' …

[HTML][HTML] A smart filtering-based adaptive optimized link state routing protocol in flying ad hoc networks for traffic monitoring

M Hosseinzadeh, S Ali, AM Rahmani, J Lansky… - Journal of King Saud …, 2024 - Elsevier
Nowadays, the use of drones as a fundamental element of smart cities has attracted the
attention of many researchers to monitor and control the traffic of vehicles. Because of the …

Edge Caching with Federated Unlearning for Low-latency V2X Communications

P Wang, Z Yan, MS Obaidat, Z Yuan… - IEEE …, 2023 - ieeexplore.ieee.org
Vehicular-to-everything (V2X) communications have gained popularity as a cutting-edge
technology in the Internet of Vehicles (IoV), ensuring low-latency communication for …

Hybrid machine learning approach for resource allocation of digital twin in UAV-aided internet-of-vehicles networks

B Hazarika, K Singh, A Paul… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
In this study, we present a novel approach for efficient resource allocation in a digital twin
(DT) framework for task offloading in a UAV-aided Internet-of-Vehicles (IoV) network. Our …

[HTML][HTML] Energy Management Model for Mobile Ad hoc Network using Adaptive Information Weight Bat Algorithm

AT Olusesi, OM Olaniyan, BA Omodunbi… - e-Prime-Advances in …, 2023 - Elsevier
Abstract Mobile Ad Hoc Newark (MANET) is a collection or group of wireless mobile nodes
that connect devices to communicate with each other through a wireless channel. The high …

Offloading approach for mobile edge computing based on chaotic quantum particle swarm optimization strategy

DG Zhang, GX Sun, J Zhang, T Zhang… - Journal of Ambient …, 2023 - Springer
With the development of 5 g, computing-intensive and complex applications in smart-city is
growing rapidly. Due to the limited resources of mobile terminal devices in smart-city, new …

UAV-assisted task offloading system using dung beetle optimization algorithm & deep reinforcement learning

D Zhang, Z Zhang, J Zhang, T Zhang, L Zhang, H Chen - Ad Hoc Networks, 2024 - Elsevier
The current technologies such as computer vision and artificial intelligence are continuously
being applied to disaster rescue robots, enabling their adaptability to different environments …

Intelligent caching with graph neural network-based deep reinforcement learning on SDN-based ICN

J Hou, T Tao, H Lu, A Nayak - Future Internet, 2023 - mdpi.com
Information-centric networking (ICN) has gained significant attention due to its in-network
caching and named-based routing capabilities. Caching plays a crucial role in managing the …