Mohammed Saleh Ali Muthanna

Southern Federal University | sfedu

In this work, we address the issue of quality of experience (QoE) in unmanned aerial vehicle (UAV) aided multiuser rate-splitting multiple access (RSMA) networks under secrecy constraints. The problem is formulated as maximization of sum mean opinion scores (MOSs) of the users. The problem is decomposed into two subproblems, beamforming and rate al...

Plant diseases annually cause damage and loss of much of the crop, if not its complete destruction, and this constitutes a significant challenge for farm owners, governments, and consumers alike. Therefore, identifying and classifying diseases at an early stage is very important in order to sustain local and global food security. In this research,...

Wireless Local Area Network (WLAN) Fingerprinting-based Indoor Positioning Systems (IPS) offer several key advantages over other indoor positioning technologies, including cost-effectiveness with high accuracy and passive tracking of entities’ location without Global Positioning System (GPS) dependence. However, achieving a satisfactory accuracy pe...

Edge computing (EC) has emerged as a solution to address the limitations of cloud computing in the context of the Internet of Things (IoT). EC provides resources at the user end in a decentralized manner, enabling faster response times compared to cloud-based processing (Muthanna et al., Information, 12:76, 2021). This allows for real-time analytic...

The maintenance, integration, rapid deployment, and provision of diverse services are all important directions for research on fifth-generation communication networks. This study aims to examine methods for organizing smart city services using fifth-generation networks. The methodology, data collection, analysis, and comparison of published informa...

Cloud computing has the potential to offer an abundance of computing resources on demand due to its high scalability, which eliminates the need for providers to plan far in advance for hardware provisioning. Security remains a significant challenge in promoting cloud computing, but artificial intelligence (AI) can improve cloud services by enhancin...

In this article, we study the secure communication in unmanned aerial vehicle (UAV) aided and reconfigurable intelligent surface (RIS) empowered multiuser networks. In the proposed configuration, we consider UAV-mounted RIS to reflect the signal between the base station and the legitimate users in the presence of eavesdroppers. The problem is formu...

Deep convolutional neural networks (DCNNs) have emerged as powerful tools in diverse remote sensing domains, but their optimization remains challenging due to their complex nature and the large number of parameters involved. Researchers have been exploring more sophisticated methodologies to improve image classification accuracy. In this paper, we...

Automated communication within heterogeneous connectivity of participating devices is an exceptional idea that has allowed the world to take modernized network communication for granted. Internet-of-Things (IoT) is a cutting-edge technology that has enduringly adopted this phenomenal trend and proven its efficiency by facilitating every aspect of h...

Quality of life is greatly affected by chronic wounds. It requires more intensive care than acute wounds. Schedule follow-up appointments with their doctor to track healing. Good wound treatment promotes healing and fewer problems. Wound care requires precise and reliable wound measurement to optimize patient treatment and outcomes according to evi...

The rapid growth of Internet of Things (IoT) devices and the increasing need for low-latency and high-throughput applications have led to the introduction of distributed edge computing. Flying fog computing is a promising solution that can be used to assist IoT networks. It leverages drones with computing capabilities (e.g., fog nodes), enabling da...

An Unmanned Aerial Vehicle (UAV)-based cellular network over a millimeter wave (mmWave) frequency band addresses the necessities of flexible coverage and high data rate in the next-generation network. But, the use of a wide range of antennas and higher propagation loss in mmWave networks results in high power utilization and UAVs are limited by low...

Breast cancer, a leading cause of female mortality worldwide, poses a significant health challenge. Recent advancements in deep learning techniques have revolutionized breast cancer pathology by enabling accurate image classification. Various imaging methods, such as mammography, CT, MRI, ultrasound, and biopsies, aid in breast cancer detection. Co...

Unmanned aerial vehicle (UAV) networks offer a wide range of applications in an overload situation, broadcasting and advertising, public safety, disaster management, etc. Providing robust communication services to mobile users (MUs) is a challenging task because of the dynamic characteristics of MUs. Resource allocation, including subchannels, tran...

In this paper, we investigate unmanned aerial vehicle (UAV)-aided multiuser reconfigurable intelligent surface (RIS) communication for next generation communication networks. We aim to jointly optimize the active beamforming, passive beamforming, and UAV trajectory jointly to minimize power consumption in presence of UAV jitters and imperfect hardw...

On the one hand, the Internet of Medical Things (IoMT) in healthcare systems has emerged as a promising technology to monitor patients' health and provide reliable medical services, especially in remote and underserved areas. On the other hand, in disaster scenarios, the loss of communication infrastructure can make it challenging to establish reli...

The domestication of animals and the cultivation of crops have been essential to human development throughout history, with the agricultural sector playing a pivotal role. Insufficient nutrition often leads to plant diseases, such as those affecting rice crops, resulting in yield losses of 20–40% of total production. These losses carry significant...

Energy Efficiency (EE) has become an essential metric in Device-to-Device (D2D) communication underlaying Unmanned Aerial Vehicles (UAVs) Among the several technologies that provide significant energy, simultaneous wireless information and power transfer (SWIPT) has been proposed as a promising solution to improve EE. However, it is a challenging t...

Data exchange between headquarters and local branches represents a major challenge issue for business success. For this issue, traditional solutions applied to wide area networks (WAN) remain unrealistic and require a good knowledge of the systems. Recently, software‐defined wide area networking (SD‐WAN) plays a pivotal role and constitutes, in gen...

The emerging unmanned aerial vehicles (UAVs) are playing an important role to assist cellular networks and provide ubiquitous coverage for cellular networks. UAVs can eventually increase capacity and facilitate line-of-sight connections. In this paper, we develop an analytical framework to analyze coverage probability for UAVs-assisted small base s...

The emerging unmanned aerial vehicles (UAVs) are playing an important role to assist cellular networks and provide ubiquitous coverage for cellular networks. UAVs can eventually increase capacity and facilitate line-of-sight connections. In this paper, we develop an analytical framework to analyze coverage probability for UAVs-assisted small base s...

In this paper, we present and quantitatively show a novel technique for the creation of an optically multi-carrier that is founded upon single and nested electro-absorption modulators (EAMs). These setups include single and four cascaded EAMs, and a radio-frequency (RF) signal. These stacked EAMs are triggered by a radio frequency signal that has v...

Symmetry is everywhere, found in objects around us, whether artificial or natural, and acts as a mid-level cue for both human and machine perception of the chaotic real world. From real-world symmetries, humans take advantage of various tasks, but their computational treatment remains elusive. This study proposes a novel approach for detecting rota...

Vehicular ad-hoc network (VANET) is an advanced mobile wireless network. The escalation of equipped vehicles on the road grabs the attention of researchers and is constantly striving to take it further. This type of wireless network infrastructure helps to establish communication between vehicles. Roadside units, sensors, and vehicular nodes are th...

The security and reliability of cellular-based wireless IoT networks are often hindered by eavesdropping attacks. Existing approaches have limitations such as ineffective relay selection, untrusted relay nodes, and improper UAV positioning. In this article, we propose a novel approach that ensure the initial level of security to the UAV relays by e...

first_pagesettingsOrder Article Reprints Open AccessArticle Towards Intelligent Zone-Based Content Pre-Caching Approach in VANET for Congestion Control by Khola Nazar 1,Yousaf Saeed 1,Abid Ali 2,3ORCID,Abeer D. Algarni 4,Naglaa F. Soliman 4,*ORCID,Abdelhamied A. Ateya 5ORCID,Mohammed Saleh Ali Muthanna 6ORCID andFaisal Jamil 7,* 1 Department of ITT...

Epilepsy is a common neurological condition. The effects of epilepsy are not restricted to seizures alone. They comprise a wide spectrum of problems that might impair and reduce quality of life. Even with medication, 30% of epilepsy patients still have recurring seizures. An epileptic seizure is caused by significant neuronal electrical activity, w...

Brain tumors (BTs) are deadly diseases that can strike people of every age, all over the world. Every year, thousands of people die of brain tumors. Brain-related diagnoses require caution, and even the smallest error in diagnosis can have negative repercussions. Medical errors in brain tumor diagnosis are common and frequently result in higher pat...

This paper presents a generalized approach to the performance analysis of relay-aided communication systems for 5G-and-beyond scenarios. A dual-hop decoding and forwarding scheme is considered in the analysis. The relationship between the outage performance and cumulative distribution function (CDF) of the signal-to-noise ratio (SNR) is exploited t...

The monitoring of underwater aquatic habitats and pipeline leakages and disaster prevention are assisted by the construction of an underwater wireless sensor network (UWSN). The deployment of underwater sensors consumes energy and causes delay when transferring the gathered sensed data via multiple hops. The consumption of energy and delays are min...

The evolution of 6TiSCH networks is greatly increasing in the field of IIoT which supports reliable communication in IIoT environments. However, there is a lot of research gaps in the field of IIoT using 6TiSCH networks in terms of high latency, more energy consumption which degrades the overall performance of the IIoT environment. To address the a...

Cloud computing can provide unlimited computing resources according to demand because of having high scalability as per its nature, which removes the requirements for the Cloud services providers in the planning of far-ahead on the provisioning of hardware. Security is a prime challenge for promoting cloud computing in the present period. Trust is...

Internet of Things (IoT) is an instantly exacerbated communication technology that is manifesting miraculous effectuation to revolutionize conventional means of network communication. The applications of IoT are compendiously encompassing our prevalent lifestyle and the integration of IoT with other technologies makes this application spectrum even...

The Unmanned Aerial Vehicle (UAV) based communication has been emerged as a feasible solution for remote applications such as disaster management, and search and rescue due to its mobility and cost efficiency. The prior researches in this domain focused on positioning and path planning of UAVs; however, these approaches faced several limitations du...

Tomato is one of the most important vegetables worldwide. It is considered a mainstay of many countries’ economies. However, tomato crops are vulnerable to many diseases that lead to reducing or destroying production, and for this reason, early and accurate diagnosis of tomato diseases is very urgent. For this reason, many deep learning models have...

The Internet of Things (IoT) has established itself as a multibillion-dollar business in recent years. Despite its obvious advantages, the widespread nature of IoT renders it insecure and a potential target for cyber-attacks. Furthermore, these devices broad connectivity and dynamic heterogeneous nature can open up a new surface of attack for refin...

Next generation networks will involve huge number of industrial internet of things (IIoT) sensors which require reliable connectivity with low latency to manage the data transmission and processing. The design of these networks entails a lot of challenges. This article describes the 3D placement of multiple unmanned aerial vehicles (UAVs) in an IIo...

The emerging technology of internet of connected vehicles (IoCV) introduced many new solutions for accident prevention and traffic safety by monitoring the behavior of drivers. In addition, monitoring drivers’ behavior to reduce accidents has attracted considerable attention from industry and academic researchers in recent years. However, there are...

The LoRa wireless connectivity has become a de facto technology for intelligent critical infrastructures such as transport systems. Achieving high Quality of Service (QoS) in cooperative systems remains a challenging task in LoRa. However, high QoS can be achieved via optimizing the transmission policy parameters such as spreading factor, bandwidth...

Underwater wireless sensor networks (UWSNs) enable various oceanic applications which require effective packet transmission. In this case, sparse node distribution, imbalance in terms of overall energy consumption between the different sensor nodes, dynamic network topology, and inappropriate selection of relay nodes cause void holes. Addressing th...

Underwater Wireless Sensor Networks (UWSN) enables various oceanic applications which require effective packet transmission. In this case, sparse node distribution, dynamic network topology and inappropriate selection of relay nodes cause void holes. Addressing this problem, we present a Relay based Void Hole Prevention and Repair protocol (ReVOHPR...

In order to meet strict Quality-of-Service (QoS) constraints imposed by some industrial applications, the configuration of industrial networks must address the requirements of traffic flows with different priorities such as minimum delay and packet loss. The performance is affected significantly if the end-to-end delay and packet loss surpasses a s...

The smart industry is a significant realization of the internet of things. IPv6 over time-slotted channel hopping (6TiSCH) is the new standard that has emerged as a promising technology for industrial communications. The demanding issues of smart industries include scalability, latency, and energy efficiency. Existing studies have presented schedul...

Long Range (LoRa) communication is widely adapted in long-range Internet of Things (IoT) applications. LoRa is one of the powerful technologies of Low Power Wide Area Networking (LPWAN) standards designed for IoT applications. Enormous IoT applications lead to massive traffic results, which affect the entire network's operation by decreasing the qu...

Citation: Muthanna, M.S.A.; Wang, P.; Wei, M.; Rafiq, A.; Josbert, N.N. Clustering Optimization of LoRa Networks for Perturbed Ultra-Dense IoT Networks. Information 2021, 12, 76. https://doi.

results can be used to build the access level of the IoT networks with allowable losses. Abstract In this paper,we propose a random-access model for describing several wireless communication technologies. These networks have found application in the construction of wireless sensor networks, and the proposed model can be used for flows with differe...

Internet of things (IoT) development has already become one of the main directions in the telecommunications and the information and communication system development as a whole. Promising solutions in the communication networks evolution, such as the latest LTE standards, concepts, and solutions for building 5G networks critical, include this compo...

Internet of things (IoT) allows millions of devices to be connected, measured, monitored to automate processes, and support better decision making. On the other hand, these IoT devices demand cost-effective, long-range, and power-efficient sensors and actuators. LoRaWAN can be considered as a promising way to overcome these issues. By leveraging Lo...

Internet of Things (IoT) technologies represent the future challenges of computing and communications. They can also be useful to improve traditional farming practices worldwide. Since the areas where agricultural land is located in remote places, there is a need for new technologies. These technologies must be suitable and reliable for communicati...

LoRaWAN represents a promising Internet of things (IoT) technology that has recently gained high a market and academic interest. With the recent advances in sensory manufacturing, the number of connected devices increases dramatically and thus, a reliable IoT system able to provide the coverage for such system becomes a high demand. This paper prop...

The exponential growth of devices connected to the Internet flogged need to improve methods of network management and recently has become one of the most difficult tasks. As a result of the rapid increase in devices connected to the Internet will increase a huge amount of traffic of today's networks. The ideology of software-defined networking will...

Internet of Things (IoT) is a concept of communications between multiple devices equipped with sensors and actuators for the purpose of convenience and economic benefits. In connection with the rapid development of IoT concept it becomes necessary to use those or other instruments for the control and management of IoT. Considered scenario is based...