A survey on integrated sensing, communication, and computation
The forthcoming generation of wireless technology, 6G, promises a revolutionary leap
beyond traditional data-centric services. It aims to usher in an era of ubiquitous intelligent …
beyond traditional data-centric services. It aims to usher in an era of ubiquitous intelligent …
[HTML][HTML] Internet of things empowering operations management; A systematic review based on bibliometric and content analysis
This paper reviews the Internet of Things' use and its impact on operations management
through an analysis of the extensive literature. The purpose of this research is to analyse a …
through an analysis of the extensive literature. The purpose of this research is to analyse a …
Profit maximization of independent task offloading in MEC-enabled 5G internet of vehicles
The development of the Internet of Vehicles (IoVs) has attracted much attention due to the
increasing number of connected cars. IoV refers to the interconnection of vehicles with other …
increasing number of connected cars. IoV refers to the interconnection of vehicles with other …
A novel approach to reduce video traffic based on understanding user demand and D2D communication in 5G networks
G Wang, J Wu, M Trik - IETE Journal of Research, 2024 - Taylor & Francis
Mobile network customers today prefer video news updates than text. However, the
conventional cellular base stations may have challenges in simultaneously managing video …
conventional cellular base stations may have challenges in simultaneously managing video …
A hybrid approach for latency and battery lifetime optimization in IoT devices through offloading and CNN learning
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 …
of the primary technical enablers of the Internet of Things (IoT). IoT devices with low battery …
Multi-agent DRL for joint completion delay and energy consumption with queuing theory in MEC-based IIoT
G Wu, Z Xu, H Zhang, S Shen, S Yu - Journal of Parallel and Distributed …, 2023 - Elsevier
Abstract In the Industrial Internet of Things (IIoT), there exist numerous sensor devices with
weak computing power and small energy storage. To meet the real-time and big data …
weak computing power and small energy storage. To meet the real-time and big data …
Task offloading for cloud-assisted fog computing with dynamic service caching in enterprise management systems
In enterprise management systems (EMS), augmented Intelligence of Things (AIoT) devices
generate delay-sensitive and energy-intensive tasks for learning analytics, articulate …
generate delay-sensitive and energy-intensive tasks for learning analytics, articulate …
A new service composition method in the cloud‐based internet of things environment using a grey wolf optimization algorithm and MapReduce framework
Cloud computing is quickly becoming a common commercial model for software delivery
and services, enabling companies to save maintenance, infrastructure, and labor expenses …
and services, enabling companies to save maintenance, infrastructure, and labor expenses …
Federated reinforcement learning-based resource allocation for D2D-aided digital twin edge networks in 6G industrial IoT
The sixth generation (6G) is conceived to address the expected high level of requirements
(such as ultra-high-data-transmission rate, support for the highest moving speed and …
(such as ultra-high-data-transmission rate, support for the highest moving speed and …
A GSO‐based multi‐objective technique for performance optimization of blockchain‐based industrial Internet of things
The latest developments in the industrial Internet of things (IIoT) have opened up a collection
of possibilities for many industries. To solve the massive IIoT data security and efficiency …
of possibilities for many industries. To solve the massive IIoT data security and efficiency …