Abdelhamied A Ateya

Abdelhamied A Ateya

Zagazig University

H-index: 22


Professor Information


Zagazig University


Electronics and Communications Engineering Dep.



Citations(since 2020)


Cited By




hIndex(since 2020)




i10Index(since 2020)



University Profile Page

Zagazig University

Research & Interests List

5G Wireless Communications


Tactile Internet



Top articles of Abdelhamied A Ateya

LEAF-IIoT: Lightweight and Efficient Authentication Framework for the Industrial Internet of Things

The Internet of Things (IoT) has emerged as a revolutionary communication technology, enabling the connection of resource-limited devices to the Internet. These devices are deployed in various industrial control systems to remotely monitor and control industrial applications. However, the public Internet’s inherent vulnerability to malicious attacks poses a significant challenge to the secure operation of these systems. To address this challenge, a lightweight and efficient authentication framework, LEAF-IIoT, is proposed. LEAF-IIoT leverages authenticated encryption (AE) techniques to provide a multifaceted security solution encompassing confidentiality, authentication, and data integrity. It establishes a secure channel by exchanging messages between the user, gateway, and smart embedded device, culminating in the creation of a session key for secure data exchange. Rigorous security assessment confirms the …


Muhammad Tanveer,Ahmed A Abd El-Latif,Abdullah Khan,Musheer Ahmad,Abdelhamied A. Ateya


IEEE Access

Published Date


Service Migration Algorithm for UAV Recharge Zones in Future 6G Network

The number of devices connected to the network is constantly increasing, which in turn increases the amount of traffic generated in the network. At the same time, some of the new promising technologies require the provision of a group delay of the order of 1 ms. To reduce the load on the core network and reduce the delay in data transmission, unmanned aerial vehicle (UAV) systems can be used that support the possibility of organizing a network within the framework of the concept of software-defined networks (SDNs). However, in UAV systems, when the internal battery is discharged, it is necessary to consider the possibility of migrating services and sending the UAV for recharging. The chapter contains a detailed description of the ways of organizing the UAV architecture, the main areas of UAV application, as well as the advantages obtained in UAV systems when implementing the SDN concept. Also useful is …


Vadim Kovolenko,Abdelhamied A Ateya,Ammar Muthanna,Andrey Koucheryavy

Published Date


Microservice-Based Fog Testbed for 6G Applications

This paper provides a real-time fog computing model based on a microservice architecture that enables testing and modeling of eventual implementations of ultra-reliable low-latency communications (uRLLC) services. The work provides fog-based architecture for sixth-generation cellular (6G) applications, including telepresence and uRLLC. A testbed of a robot swarm was developed to prototype the proposed network architecture. Computing tasks are offloaded and handled based on a proposed microservice scheme introduced to meet the 6G requirements. Furthermore, we developed a novel migration scheme for the proposed architecture to support the mobility of end devices. The optimum server for migrating computing tasks is allocated by solving a proposed optimization problem using particle swarm optimization (PSO). All proposed algorithms were implemented in the developed prototype. The proposed …


Ekaterina Kuzmina,Meriem Tefikova,Artem Volkov,Ammar Muthanna,Abdelhamied A Ateya,Andrey Koucheryavy

Published Date


Edge Computing Platform with Efficient Migration Scheme for 5G/6G Networks.

Next-generation cellular networks are expected to provide users with innovative gigabits and terabits per second speeds and achieve ultra-high reliability, availability, and ultra-low latency. The requirements of such networks are the main challenges that can be handled using a range of recent technologies, including multi-access edge computing (MEC), artificial intelligence (AI), millimeterwave communications (mmWave), and software-defined networking. Many aspects and design challenges associated with the MEC-based 5G/6G networks should be solved to ensure the required quality of service (QoS). This article considers developing a complex MEC structure for fifth and sixth-generation (5G/6G) cellular networks. Furthermore, we propose a seamless migration technique for complex edge computing structures. The developed migration scheme enables services to adapt to the required load on the radio channels. The proposed algorithm is analyzed for various use cases, and a test bench has been developed to emulate the operator’s infrastructure. The obtained results are introduced and discussed.


Abdelhamied A Ateya,Amel Ali Alhussan,Hanaa A Abdallah,Abdukodir Khakimov,Ammar Muthanna


Computer Systems Science & Engineering

Published Date


Digital Object Architecture for IoT Networks.

The Internet of Things (IoT) is a recent technology, which implies the union of objects,“things”, into a single worldwide network. This promising paradigm faces many design challenges associated with the dramatic increase in the number of end-devices. Device identification is one of these challenges that becomes complicated with the increase of network devices. Despite this, there is still no universally accepted method of identifying things that would satisfy all requirements of the existing IoT devices and applications. In this regard, one of the most important problems is choosing an identification system for all IoT devices connected to the public communication networks. Many unique software and hardware solutions are used as a unique global identifier; however, such solutions have many limitations. This article proposes a novel solution, based on the Digital Object Architecture (DOA), that meets the requirements of identifying devices and applications of the IoT. This work analyzes the benefits of using the DOA as an identification platform in modern telecommunication networks. We propose a model of an identification system based on the architecture of digital objects, which differs from the well-known ones. The proposed model ensures an acceptable quality of service (QoS) in the common architecture of the existing public communication networks. A novel interaction architecture is developed by introducing a Middle Handle Register (MHR) between the global register, ie, Global Handle Register (GHR), and local register, ie, Local Handle Register (LHR). The aspects of the network interaction and the compatibility of IoT end-devices with the …


Mahmood Al-Bahri,Abdelhamied Ateya,Ammar Muthanna,Abeer D Algarni,Naglaa F Soliman


Intelligent Automation & Soft Computing

Published Date


Efficient Transmission of Holographic Images: A Novel Approach Toward 6G Telepresence Services

In recent years, advancements in technology have brought forth a new frontier in visual communication. Holography is a technique that captures and reproduces three-dimensional (3D) images with an unprecedented level of realism and depth, has emerged as a groundbreaking method for conveying visual information. Unlike traditional images and videos, holography recreates scenes with full parallax, enabling viewers to perceive objects from various angles. The transmission of holographic images presents both exciting possibilities and unique challenges. To this end, this article investigates a novel method for transmitting holographic images efficiently across communication networks. This innovative approach involves transmitting data related to control point movements rather than the entire image. The technique focuses on capturing the dynamic 3D movements of a person and transmitting information about …


Daniil Svechnikov,Bogdan Pankov,Yana Nesterova,Artem Volkov,Abdelhamied A Ateya,Andrey Koucheryavy

Published Date


Lightweight deep learning-based model for traffic prediction in fog-enabled dense deployed iot networks

Internet of Things (IoT) is one of the promising technologies, announced as one of the primary use cases of the fifth-generation cellular systems (5G). It has many applications that cover many fields, moving from indoor applications, e.g., smart homes, smart metering, and healthcare applications, to outdoor applications, including smart agriculture, smart city, and surveillance applications. This produces massive heterogeneous traffic that loads the IoT network and other integrated communication networks, e.g., 5G, which represents a significant challenge in designing IoT networks; especially, with dense deployment scenarios. To this end, this work considers developing a novel artificial intelligence (AI)-based framework for predicting traffic over IoT networks with dense deployment. This facilitates traffic management and avoids network congestion. The developed AI algorithm is a deep learning model based on the …


Abdelhamied A Ateya,Naglaa F Soliman,Reem Alkanhel,Amel A Alhussan,Ammar Muthanna,Andrey Koucheryavy


Journal of Electrical Engineering & Technology

Published Date


Testing and Development of a Multi-Object Tracker Based on Deep Learning Techniques

In today’s scenario, computer vision is one of the fundamental research areas of artificial intelligence including object detection and object tracking which are the upcoming trends. In the present work, the TransTrack model has been reimplemented which includes ResNet50 as a backbone network. Further, to improve the overall performance of the TransTrack model, some recently developed backbones such as ResNet152 and SwinT have been incorporated. Moreover, to test the optimum training of the existing model, it has been retrained for higher epochs (such as 160 epochs). However, the accuracy of the existing tracker has improved significantly as the number of epochs increases but, at the same time, it increases the computational complexity. On the contrary, when the existing tracker (yields 68.4% accuracy with ResNet50) is incorporated with ResNet152 and SwinT, the performance has significantly …


Shaurya Rajput,Sourabh Verma,Om Prakash Verma,Himanshu Gupta,Tarun Sharma,Abdelhamied A Ateya

Published Date


Professor FAQs

What is Abdelhamied A Ateya's h-index at Zagazig University?

The h-index of Abdelhamied A Ateya has been 21 since 2020 and 22 in total.

What are Abdelhamied A Ateya's research interests?

The research interests of Abdelhamied A Ateya are: 5G Wireless Communications, 6G, Tactile Internet, IoT, UAVs

What is Abdelhamied A Ateya's total number of citations?

Abdelhamied A Ateya has 1,472 citations in total.

What are the co-authors of Abdelhamied A Ateya?

The co-authors of Abdelhamied A Ateya are Mohammad Hammoudeh, Aramco Cybersecurity Chair Professor, Mohamed Hammad, Abdelrahman Abuarqoub, Mohammed S. Sayed.


H-index: 46
Mohammad Hammoudeh, Aramco Cybersecurity Chair Professor

Mohammad Hammoudeh, Aramco Cybersecurity Chair Professor

Manchester Metropolitan University

H-index: 22
Mohamed Hammad

Mohamed Hammad

Menoufia University

H-index: 18
Abdelrahman Abuarqoub

Abdelrahman Abuarqoub

Middle East University

H-index: 17
Mohammed S. Sayed

Mohammed S. Sayed

Egypt-Japan University of Science and Technology


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