New method of vehicle cooperative communication based on fuzzy logic and signaling game strategy

DG Zhang, CH Ni, J Zhang, T Zhang… - Future Generation …, 2023 - Elsevier
With the rapid development of the Internet of Vehicles, at the same time, due to the limited
storage space of vehicles and more and more data requirements, vehicles need more and …

A hybrid approach for latency and battery lifetime optimization in IoT devices through offloading and CNN learning

A Heidari, NJ Navimipour, MAJ Jamali… - … : Informatics and Systems, 2023 - Elsevier
Offloading assists in overcoming the resource constraints of specific elements, making it one
of the primary technical enablers of the Internet of Things (IoT). IoT devices with low battery …

Novel edge caching approach based on multi-agent deep reinforcement learning for internet of vehicles

D Zhang, W Wang, J Zhang, T Zhang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Along with the development of Internet of Vehicles (IoV) and wireless technology, the usage
of applications that require low latency, such as autonomous driving and intelligent …

Quantum computing applications for Internet of Things

MS Peelam, AA Rout, V Chamola - IET Quantum …, 2024 - Wiley Online Library
The rapidly developing discipline of quantum computing (QC) employs ideas from quantum
physics to improve the performance of traditional computers and other devices. Because of …

SyRoC: Symbiotic robotics for QoS-aware heterogeneous applications in IoT-edge-cloud computing paradigm

A Zhu, H Lu, S Guo, Z Zeng, M Ma, Z Zhou - Future Generation Computer …, 2024 - Elsevier
Smart Robots, as an advanced domain of widespread concern, can be applied in diverse
fields to perform compute-intensive Internet of Things (IoT) applications. However, their …

AFOX: A new adaptive nature-inspired optimization algorithm

H ALRahhal, R Jamous - Artificial Intelligence Review, 2023 - Springer
Optimization is a common phenomenon that we encounter in our daily routine, which
involves selecting the best option from a set of alternatives. A lot of algorithms have been …

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 …

[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 …