Survey on intelligence edge computing in 6G: Characteristics, challenges, potential use cases, and market drivers

A Al-Ansi, AM Al-Ansi, A Muthanna, IA Elgendy… - Future Internet, 2021 - mdpi.com
Intelligence Edge Computing (IEC) is the key enabler of emerging 5G technologies networks
and beyond. IEC is considered to be a promising backbone of future services and wireless …

Secure task offloading in blockchain-enabled mobile edge computing with deep reinforcement learning

A Samy, IA Elgendy, H Yu, W Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Mobile Edge Computing (MEC) is a promising and fast-develo** paradigm that provides
cloud services at the edge of the network. MEC enables IoT devices to offload and execute …

Joint task offloading, resource allocation, and load-balancing optimization in multi-UAV-aided MEC systems

IA Elgendy, S Meshoul, M Hammad - Applied Sciences, 2023 - mdpi.com
Due to their limited computation capabilities and battery life, Internet of Things (IoT) networks
face significant challenges in executing delay-sensitive and computation-intensive mobile …

Survey on mobile edge-cloud computing: A taxonomy on computation offloading approaches

IA Elgendy, R Yadav - Security and Privacy Preserving for IoT and 5G …, 2022 - Springer
With the technological evolution of Internet of Things (IoT) devices and wireless
communications, a wide variety of new complex mobile applications and different services …

Multi-story building model for efficient IoT network design

S Bushelenkov, A Paramonov, A Muthanna… - Mathematics, 2023 - mdpi.com
This article presents a new network model for IoT that is based on a multi-story building
structure. The model locates network nodes in a regular, cubic lattice-like structure, resulting …

An efficient method for choosing digital cluster size in ultralow latency networks

A Paramonov, M Khayyat, N Chistova… - Wireless …, 2021 - Wiley Online Library
The paper proposes a solution to the problem of choosing the size of a cluster in an ultralow
latency network. This work is aimed at designing a method for choosing the size of the digital …

Flexible architecture for deployment of edge computing applications

A Khakimov, IA Elgendy, A Muthanna, E Mokrov… - … Modelling Practice and …, 2022 - Elsevier
Recently, a great development has occurred in the communication networks, in which the
trend of development is towards automation and flexible network structure. In addition, the …

Fractal-Based N-Environment Multi-Agent IoT System Reliability

I Eroshkin, L Vojtech, M Neruda - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The tremendous growth of Internet of Things (IoT) systems and the popularity of distributed
systems, which were brought back into fashion by containerization, create new challenges …

Topology search using dilution of precision criterion for enhanced 5G positioning service area

G Fokin, V Sevidov - 2021 13th International Congress on Ultra …, 2021 - ieeexplore.ieee.org
User Equipment (UE) positioning is an actual topic for research and investigation in Ultra-
Dense Networks (UDN) due to transition of 5G and future mobile technologies to mmWave …

Optimizing Energy Efficiency in Vehicular Edge-Cloud Networks Through Deep Reinforcement Learning-Based Computation Offloading

IA Elgendy, A Muthanna, A Alshahrani… - IEEE …, 2024 - ieeexplore.ieee.org
Vehicular Edge-Cloud Computing (VECC) paradigm has emerged as a viable approach to
overcome the inherent resource limitations of vehicles by offloading computationally …