A. F. M. Shahen Shah

A. F. M. Shahen Shah

Yildiz Teknik Üniversitesi

H-index: 15

Asia-Turkey

About A. F. M. Shahen Shah

A. F. M. Shahen Shah, With an exceptional h-index of 15 and a recent h-index of 15 (since 2020), a distinguished researcher at Yildiz Teknik Üniversitesi, specializes in the field of Wireless communications, 6G, Artificial intelligence, IoT, Blockchain.

His recent articles reflect a diverse array of research interests and contributions to the field:

Developing and Implementing an IoT Managed by Electronic Devices for Covid Patient Monitoring via a Secured Communication System

Multiple Access Schemes for 6G enabled NTN-assisted IoT Technologies: Recent Developments, Prospects and Challenges

A self-learning deep neural network for classification of breast histopathological images

Enhancing Breast Cancer Classification using a Modified GoogLeNet Architecture with Attention Mechanism

Cooperative THz Communication for UAVs in 6G and Beyond

Improvement of Emergency Communication Systems Using Drones in 5G and Beyond for Safety Applications

Terahertz Communication with MIMO-OFDM in FANETs for 6G

Influence of Channel Fading and Capture for Performance Evaluation in Vehicular Communications

A. F. M. Shahen Shah Information

University

Yildiz Teknik Üniversitesi

Position

Assistant Professor . IEEE Senior Member.

Citations(all)

783

Citations(since 2020)

726

Cited By

214

hIndex(all)

15

hIndex(since 2020)

15

i10Index(all)

28

i10Index(since 2020)

27

Email

University Profile Page

Yildiz Teknik Üniversitesi

A. F. M. Shahen Shah Skills & Research Interests

Wireless communications

6G

Artificial intelligence

IoT

Blockchain

Top articles of A. F. M. Shahen Shah

Developing and Implementing an IoT Managed by Electronic Devices for Covid Patient Monitoring via a Secured Communication System

Authors

Abdulaal Alaa Hussein,AFM Shahen Shah,Muhammet Ali Karabulut

Journal

Sakarya University Journal of Science

Published Date

2024/2/27

End of 2019 had seen global spread of the deadly coronavirus (SARS-CoV-2) pandemic, which kills people, puts a large portion of the world in danger, and poses a serious threat to all of the world's nations. Leading medical professionals are working extremely hard to identify the virus, develop treatments for it, and create the vaccines that are required to stop and limit its spread. This study intends to develop a low-cost electronic health system to observe patients with covid infections and lessen the work required of clinicians. An enhanced approach for remote health monitoring in hospitals or detention facilities is offered by the internet of things (IoT). The IoT keeps and displays the patient's medical data via a web browser or through specialized apps that offer remote treatment once the sensors collect it. When a patient is in danger, the system offers immediate action to send alarms by email and SMS and to rapidly provide drugs to the patient. Doctors will be updated on each patient's condition thanks to this message.

Multiple Access Schemes for 6G enabled NTN-assisted IoT Technologies: Recent Developments, Prospects and Challenges

Authors

AFM Shahen Shah,Muhammet Ali Karabulut,Khaled Rabie

Journal

IEEE Internet of Things Magazine

Published Date

2024/1

The transition from 5G to 6G will result in an explosion of Internet of Things (IoT) devices that provide pervasive and constant connection across all spheres of human activities. In this regard, non-terrestrial networks (NTNs) will play a crucial role in supporting and supplementing terrestrial systems in order to cope with such a vast number of IoT devices and to fulfill the massive capacity needs of the most sophisticated of them. This study investigates the implication of several multiple access techniques for 6G enabled NTN-assisted IoT technologies. First, general architecture of NTN, NTN-assisted IoT technologies, and key features and challenges of NTNs are presented. Then, different types of multiple access schemes are discussed and compared in the context of NTN-assisted IoT systems. Simulation results are presented and important performance parameters such as energy efficiency and spectrum efficiency are …

A self-learning deep neural network for classification of breast histopathological images

Authors

Alaa Hussein Abdulaal,Morteza Valizadeh,Mehdi Chehel Amirani,AFM Shahen Shah

Journal

Biomedical Signal Processing and Control

Published Date

2024/1/1

The most effective and feasible method for treating cancer is early diagnosis of breast cancer. An appropriate software tool, known as computer-aided diagnosis, helps doctors identify or diagnose cancer in the early stages and more quickly, hence decreasing the mortality rate. Convolution neural networks (CNNs) have lately been utilized in medical image analysis, which can discover cancer cells or classify histopathology images by processing a large amounts of training data. In this study, we carried out transfer learning (TL) accompanied with a new self-learning algorithm for classification of breast cancer by processing the histopathological images. In this study, several pre-trained deep neural networks including, Inception V3 Net, VGG19, Alex net, ResNet-18, Google net, Shefflenet, Mobile net, Resnet 101, Inception ResnetV2 Net, and Squeeze net were examined. Using a self-learning technique for …

Enhancing Breast Cancer Classification using a Modified GoogLeNet Architecture with Attention Mechanism

Authors

Alaa Hussein Abdulaal,Morteza Valizadeh,Baraa M Albaker,Riyam Ali Yassin,Mehdi Chehel Amirani,AFM Shahen Shah

Journal

Al-Iraqia Journal for Scientific Engineering Research

Published Date

2024/3/1

Breast cancer incidence has been soaring sharply, and this is causing grave concern worldwide due to its high mortality rates. It should be correctly diagnosed in the early stages in order to achieve better patient outcomes. Over the last decade, there has been a great demand for diagnosis systems based on AI that could be used in breast cancer detection and classification. These computerized devices utilize deep learning algorithms to analyze medical scans thereby allowing for subtle abnormality recognition and distinguishing malignant from benign tumors. Computer-aided diagnosis named CAD systems can assist radiologists and pathologists to be more precise with their diagnoses while at the same time increasing productivity. Furthermore, recent advances in CNN architectures coupled with attention mechanisms have further improved CAD systems for breast cancer diagnosis. Attention-based CNN models focus on crucial regions hence enhancing classification accuracy and reliability. In this study, we introduce a new approach that improves the classification of breast cancer using GoogLeNet architecture modified by an attention mechanism that is based on image regions. The modified GoogLeNet has a spatial transformer network (STN), which allows it to focus on significant areas in breast histopathology images using selective attention. Through the attention mechanism, the model becomes better at learning discriminatory features that indicate different subtypes of breast cancer. In order to evaluate the effectiveness of this method, we implemented experiments using the BreaKHis dataset for classifying breast carcinomas. This dataset …

Cooperative THz Communication for UAVs in 6G and Beyond

Authors

Nazifa Mustari,Muhammet Ali Karabulut,AFM Shahen Shah,Ufuk Tureli

Journal

Green Energy and Intelligent Transportation

Published Date

2024/2/1

One of the key components of any smart city is considered to be its intelligent transportation systems (ITSs). Unmanned aerial vehicles (UAVs) are envisioned in several ITS application fields because of their autonomous operation, mobility, communication/processing capabilities, and other factors. In this paper, cooperative terahertz (THz) communication is proposed for flying ad hoc networks (FANETs), which is a particular kind of network made up of a collection of small UAVs linked in an ad hoc fashion and working together to accomplish high-level objectives. The frequency spectrum for wireless communication has been expanding continuously in order to meet the demand for bandwidth. For the forthcoming 6G and beyond, communications in the THz range will be vital, similar to how mmWave-band communications are currently influencing the 5G of wireless mobile communications. The finite state machine …

Improvement of Emergency Communication Systems Using Drones in 5G and Beyond for Safety Applications

Authors

AFM Shah,Muhammet Ali Karabulut,Khaled Rabie

Published Date

2023/11

Drones are used for public safety missions because of their communication capabilities, unmanned mission, flexible deployment, and low cost. Recently, drone-assisted emergency communication systems in disasters have been developed where instead of a single large drone, flying ad hoc networks (FANETs) are proposed through clustering. Although cluster size has an impact on the proposed system’s performance, no method is provided to effectively regulate cluster size. In this paper, optimum cluster size is obtained through two distinct meta-heuristic optimization algorithms - the Cuckoo Search Algorithm (CUCO) and the Particle Swarm Algorithm (PSO). Flowcharts and algorithms of CUCO and PSO are provided. A presentation of an analytical investigation based on the Markov chain model is provided. To further validate the analytical study, simulation results are presented. Simulation shows the improvement in terms of throughput and packet dropping rate (PDR).

Terahertz Communication with MIMO-OFDM in FANETs for 6G

Authors

Nazifa Mustari,Muhammet Ali Karabulut,AFM Shah,Ufuk Tureli

Journal

The Open Transportation Journal

Published Date

2023/8/16

Background:Unmanned aerial vehicles (UAVs) are envisioned in several intelligent transport system (ITS) application fields due to their autonomous operation, mobility, and communication/processing capabilities.Methods:In order to increase performance, dependability, and customer satisfaction, wireless communications are being used for essential and noncritical services in a variety of transportation systems. Terahertz (THz) communication aims to raise the wireless communication frequency band to the terahertz level and is one of the technologies that shows the most promise in addressing needs like the exponential increase in the number of devices, the necessity for higher data rates, and the need for larger channel capacity. For meeting the demands of 5G and 6G users, the hybrid combination of multiple input multiple output (MIMO) and orthogonal frequency division multiplexing (OFDM) appears to be an excellent technology. Therefore, it is essential to investigate the performance of THz communication with MIMO-OFDM in flying ad hoc networks (FANETs) for 6G. FANETs are multi-UAV systems arranged in an ad hoc way.Results:In this paper, the performance of the THz communication with MIMO-OFDM in FANETs for 6G is evaluated. The Markov chain model-based analytical study is used to derive how parameters and performance measures relate to one another.Conclusion:The equations for path loss, outage probability, bit error rate, and throughput are attained. Moreover, numerical results are shown to justify the outcomes of the analytical studies.

Influence of Channel Fading and Capture for Performance Evaluation in Vehicular Communications

Authors

AFM Shahen Shah,Muhammet Ali Karabulut,Haci Ilhan,Ufuk Tureli

Journal

IEEE Canadian Journal of Electrical and Computer Engineering

Published Date

2023/11/29

Autonomy and intelligent transportation systems (ITSs) have recently received increased interest for vehicular ad hoc networks (VANETs). In addition, the impending 5G and 6G technologies will result in substantial advancements for VANETs. The IEEE 802.11p summarizes specifications of physical (PHY) and medium access control (MAC) layers for VANETs. Although IEEE 802.11p MAC performance has been investigated, analytical methods need improvement. Bit error and channel capture influence the performance of vehicular communications in real-world transmission. These effects are investigated separately in previous works. In this article, an extensive study is provided that integrates these two major factors. In VANETs, the influence of channel fading and capture on IEEE 802.11p is investigated analytically using a Markov chain model. For Nakagami-m, Rayleigh, and Rician fading channels, performance …

The impact of cooperative unmanned aerial vehicles communication under Nakagami-m fading channel

Authors

Muhammet Ali Karabulut,AFM Shahen Shah

Journal

Gazi Üniversitesi Mühendislik Mimarlık Fakültesi Dergisi

Published Date

2023/4/12

Purpose: In this paper, an analytical model is developed to evaluate the performance of CT medium access control protocol for unmanned aerial vehicles (UAV) on Nakagami-m channel fading.Theory and Methods: The proposed protocol mainly includes DT and CT modes to increase throughput. Also, the algorithm is defined to select a suitable data transmission mode and select the optimal relay. Only the mechanism defined in the IEEE 802.11 standards specifically designed for direct communication is not suitable for cooperative commBEWunication. Therefore, new control packages are used and the existing control package format has been changed to support cooperative communication. To perform the performance analysis of the proposed CT mode protocol, an analytical model based on the unsaturated Markov Chain model was derived and validated by simulation. The simulation results show that the proposed protocol maximizes the system throughput.Results: The performance of CT mode is higher than DT mode (IEEE 802.11). Throughput is higher in CT mode due to optimal R. The system using the Rayleigh fading channel (m= 1) has the lowest throughput. The extra packet transmission with an increase of N lowers the data rate and increases the probability of collisions. The system using the Rayleigh fading channel (m= 1) has the lowest data rate. The probability of failed transmission increases with increasing N for the fading channels. More packets will compete for transmission with an increase in N which will increase the probability of collisions.Conclusion: The performance of the IEEE 802.11 MAC layer for CT mode was …

An Effective MIMO Antenna Design for 5G and Beyond to Support Industry 5

Authors

AFM Shah,Dunya Jassim Al-Bu Mohammed,AL-SAKIB KHAN PATHAN,Khaled Rabie

Published Date

2023/5/12

The development of sustainable and resilient networking and communication technologies, artificial intelligence, dispersed computing, and beyond 5G are expected to play a crucial role in the realization of Industry 5.0. More specifically, antennas are recognized as a vital technology to support the continuously growing demand for 5G/6G connectivity and data rates. In the development of wireless communication systems, an effective antenna design is critical. In this work, we present the design and modeling of a hexagonal microstrip antenna for using in ultra-wide band applications such as 5G mobile networks. The suggested antenna has a frequency range of 3.3 GHz to 4.5 GHz, dimensions of 20 mm × 14 mm, and is built on a FR-4 substrate, with a relative permittivity of 4.3, and of 1.6 mm in height. It is expected that this antenna will operate in two notched bands with resonance frequencies of 3.3 GHz and 4.5 GHz and a voltage standing wave ratio (VSWR) of less than 2. The proposed antenna, which has been expanded to be a multiple-input multiple-output (MIMO) antenna, was created and modeled using CST Microwave Studio. The comparison against the recent works is given to show the efficiency of the proposed design.

Performance Comparison of PEGASIS, HEED and LEACH Protocols in Wireless Sensor Networks

Authors

Kareem Hameed Ali,A. F. M. Shahen Shah

Journal

Celal Bayar University Journal of Science

Published Date

2023/3

Wireless sensor networks (WSNs) is one of the most emerging and fastest growing fields in the scientific world. The most widely recognized requirement related with sensor network configuration is that sensor hubs have restricted energy spending plans. Typically, the limited battery power of a sensor node becomes a critical issue when it is not possible to replace or recharge its battery. The efficient use of energy source in a sensor node is a desirable criterion for scalability and prolonging the lifetime of WSN. Therefore, designing an efficient routing protocol for reducing energy consumption is one of the important issues in the network. A large number of routing protocols have been proposed in the last few decades. Some of the most popular and energy efficient routing protocols are hierarchical routing protocols like LEACH (Low Energy Adaptive Clustering Hierarchy), PEGASIS (Power Efficient GAthering in Sensor Information Systems), and HEED (Hybrid Energy Efficient Distributed clustering protocol). In this paper, these hierarchical routing protocols are studied for their pros and cons. Finally, a comparative study on these protocols is done based on several metrics such as: energy consumption, stability period, scalability, and network lifetime through simulations on different simulation environments.

Mission-Critical Internet of Things on the 6G Network: Services and Apps with Networking Architecture

Authors

A. F. M. Shahen Shah,Muhammet Ali Karabulut,Khaled Rabie

Published Date

2023/10

Towards a future of fully autonomous and intelligent systems, sixth-generation (6G) wireless communication networks are expected to transform client services and apps via the Internet of Things (IoT). Together, the infrastructure and apps should facilitate and enhance intelligent administration of city services, workplaces, and everyday lives. In particular, mission-critical IoT (MC IoT), which is the connection of critical objects to the IoT network that are critical to human life and safety, is of utmost significance. This paper covers MC IoT visions, services, and applications, as well as networking infrastructure. First, visions toward 6G MC IoT are presented in the context of fundamental technological needs, trends, and use cases. Second, the emerging 6G MC IoT services and applications are described. Finally, a networking architecture for 6G MC IoT is provided. There are challenges to the implementation of robust and …

Internet of Things and Wireless Sensor Networks for Smart Agriculture Applications-A Survey

Authors

A. F. M. Shahen Shah MD. Nanjmul Mowla,N. Mowla,Khaled Rabie,T. Showngwe

Journal

IEEE Access

Published Date

2023/11

The increasing food scarcity necessitates sustainable agriculture achieved through automation to meet the growing demand. Integrating the Internet of Things (IoT) and Wireless Sensor Networks (WSNs) is crucial in enhancing food production across various agricultural domains, encompassing irrigation, soil moisture monitoring, fertilizer optimization and control, early-stage pest and crop disease management, and energy conservation. Wireless application protocols such as ZigBee, WiFi, SigFox, and LoRaWAN are commonly employed to collect real-time data for monitoring purposes. Embracing advanced technology is imperative to ensure efficient annual production. Therefore, this study emphasizes a comprehensive, future-oriented approach, delving into IoT-WSNs, wireless network protocols, and their applications in agriculture since 2019. It thoroughly discusses the overview of IoT and WSNs, encompassing …

Architecture of Emergency Communication Systems in Disasters through UAVs in 5G and Beyond

Authors

AFM Shahen Shah

Journal

Drones

Published Date

2023/1

Unmanned aerial vehicles (UAVs) are valued in 5G and 6G networks due to their communication capabilities, low cost, and flexible deployment. Recently, UAV-aided emergency networks in disasters have been designed where one single large UAV is used. Compared with a single large UAV, Flying Ad Hoc Networks (FANETs) with small UAVs have many benefits. Therefore, instead of a single large UAV, a FANET is proposed in this paper. To take full advantage of their services, UAVs must be able to communicate efficiently with each other and with existing networking infrastructures. However, high node mobility is one of the main characteristics of FANETs, which can result in rapid topology changes with frequent link breakage and unstable communications that cause collision and packet loss. As an alternative, networks can be broken up into smaller groups or clusters to control their topology efficiently and reduce channel contention. In this study, a novel cluster-based mechanism is proposed for FANETs. The process of cluster management is described. The IEEE 802.11 backoff method is specifically intended for direct communications and is not appropriate for cluster-based communications. Therefore, a new backoff mechanism is proposed based on cluster size to optimize performance. An analytical study using the Markov chain model is presented to explore the performance of the proposed mechanism. The study takes into account Nakagami-m fading channels. Performance-influencing parameters are taken into consideration and the relationships among these parameters as well as performance metrics such as throughput, packet …

A Comprehensive Study on Cellular Evolution from 1G to 6G (1G'den 6G'ye Hücresel Evrim Üzerine Kapsamlı Bir Derleme)

Authors

Nazifa Mustari,Muhammet Ali Karabulut,AFM Shahen Shah,MS Ufuk Türeli

Journal

Politeknik Dergisi

Published Date

2023/9

Daha yüksek hizmet kalitesi, veri hızları, kapasite ve azalan gecikmeye yönelik artan ihtiyaç nedeniyle, hücresel iletişim gün geçtikçe gelişmektedir. Hücresel ağların tasarımı, bu talepleri karşılamak için önemli ölçüde geliştirilmektedir. Yeni çoklu erişim yöntemleri, modülasyon teknikleri, gelişen teknolojiler vb. sayesinde ihtiyaç ve talepler karşılanmaktadır. Bu çalışmada, birinci nesilden (1G) altıncı nesle (6G) kadar hücresel evrim üzerine kapsamlı bir çalışma sunulmaktadır. Çalışmada hücresel ağ tasarımları, çoklu erişim stratejileri, modülasyon teknikleri ve gelişen teknolojiler ele alınmıştır. Hücresel ağın mimarisi 1G'den 5G'ye kadar verilmiştir. Mimariyi geliştirmek ve kullanıcı taleplerini karşılamak için ortaya çıkan en önemli teknolojilerden bazıları ele alınmaktadır. Massive MIMO, yazılım tanımlı ağ, mmWave ve diğer gelecek teknolojiler bun önemli teknolojiler arasındadır. Ek olarak, 1G'den 5G'ye kadar çeşitli erişim mekanizmaları araştırılmaktadır. Birkaç nesil hücresel iletişimin bir karşılaştırması bulunmaktadır. Çalışma ayrıca yaklaşan 6G'nin neler getirebileceğine dair bir ön izleme sunmaktadır. 6G ile ilgili tartışılan zorluklar ve sorunlar açıklanmaktadır.

Acne Vulgaris Detection and Classification: A Dual Integrated Deep CNN Model

Authors

Md Baharul Islam,Masum Shah Junayed,Arezoo Sadeghzadeh,Nipa Anjum,Afsana Ahsan,AFM Shahen Shah

Journal

Informatica

Published Date

2023/12/6

Recognizing acne disease and evaluating its type is vital for the efficacy of the medical treatment. This report collects a dataset of 420 images and then labels them into seven different classes by a well-experienced dermatologist. After a pre-processing step, including local and global contrast enhancement and noise removal by a smoothing filter, the dataset size is enhanced using augmentation. The images of the dataset and the augmented ones are all fed into a novel integrated dual deep convolutional neural network (CNN) model to recognize acne disease and its type by classifying it into seven groups. First, two CNN-based units are designed to extract deep feature maps, later combined in a feature aggregation module. The aggregated features provide rich input information and classify the acne by a softmax. The proposed architecture's optimizer, loss function, and activation functions are all tuned so that both CNN units are trained with minimum kernel size and fewer training parameters. Thus, the computational cost is minimized. Compared with three machine learning-based classifiers and five pre-trained models, our model achieves competitive state-of-the-art performance with an accuracy of 97.53% on the developed dataset.

On the Vital Aspects and Characteristics of Cryptocurrency–A Survey

Authors

AFM Shah,Muhammet Ali Karabulut,AFM SUAIB AKHTER,Nazifa Mustari,AL-SAKIB KHAN PATHAN,Khaled Rabie,THOKOZANI SHONGWE

Journal

IEEE Access

Published Date

2023/1

Cryptocurrencies acquire user confidence by making the whole creation and transaction history transparent to the public. In exchange, the transaction history accurately captures the complete range of user activities related to cryptocurrencies. It is thought to be one of the safest and simplest payment methods that may be employed in the future. The trend of banks and other financial institutions investing in cryptocurrencies has increased rapidly in recent years. Therefore, it is necessary to synthesize the findings of previous studies on cryptocurrencies. In this paper, the use of data mining methods in Bitcoin transactions is analyzed and summarized. Cryptocurrencies, similar to the well-known Bitcoin, were targeted to ensure transaction security and privacy and overcome the drawbacks of traditional banking systems as well as other centralized systems. In addition, a comprehensive analysis of the literature on the …

Inspecting VANET with various critical aspects–a systematic review

Authors

Muhammet Ali Karabulut,AFM Shahen Shah,Haci Ilhan,Al-Sakib Khan Pathan,Mohammed Atiquzzaman

Published Date

2023/8/14

Due to its strategic significance in the area of smart transportation to facilitate Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) communication, Vehicular Ad Hoc Networks (VANETs) have grown very popular in recent years. The rapid increase in the number of vehicles on the road has also led to the development of heterogeneous, large-scale, and highly dynamic VANETs, which introduce difficulty to fulfill the stringent requirements, which include low latency, high mobility, top security, and massive connectivity of the 5G network. Research works in VANETs mainly focus on message transmission within strict delay requirements based on different applications, data privacy and security. In this respect, a number of studies have been carried out by the researchers that propose models and solutions linked to the enhancement of VANET from several aspects, including applications, Quality of Service (QoS …

Reliability estimation for drone communications by using an MLP-based model

Authors

AFM Shahen Shah,Muhammet Ali Karabulut

Journal

International Advanced Researches and Engineering Journal

Published Date

2022/12/15

Unmanned aerial vehicles (UAVs) or drones have been widely employed in both military and civilian tasks due to their reliability and low cost. UAVs ad hoc networks also acknowledged as flying ad-hoc networks (FANETs), are multi-UAV systems arranged in an ad hoc manner. In order to maintain consistent and effective communication, reliability is a prime concern in FANETs. This paper presents an analytical framework to estimate the reliability of drones’ communication in FANETs. The proposed system takes into account the reliability of communications in FANETs, including channel fading. The suggested analytical investigation is used to generate a dataset, then an artificial neural network (ANN) based multi-layer perceptron (MLP) model is used to estimate the reliability of drones’ communication. Moreover, to define the best MLP model with hidden layers, the correlation coefficient (R2), mean square error (MSE), root mean square error (RMSE), and mean absolute percentage error (MAPE) are obtained. Moreover, numerical results are presented which verify analytical studies.

Optimization of drones communication by using meta-heuristic optimization algorithms

Authors

AFM Shahen Shah,Muhammet Ali Karabulut

Journal

Sigma Journal of Engineering and Natural Sciences

Published Date

2022/3

Unmanned aerial vehicles (UAVs), more generally known as drones or remotely piloted aircraft, h ave b een e xtensively u sed i n b oth c ivilian a ctivities a nd m ilitary m issions b ecause of their high mobility and low cost. Multi-UAV systems structured in an ad hoc manner called UAVs ad hoc network which is also familiar as flying ad hoc Network (FANET). For FANETs, the IEEE 802.11 standard offers Medium Access Control (MAC) layer requirements. Optimization of the contention window (CW) size will optimize the output. Three distinct meta-heuristic optimization algorithms are used in this paper to improve the efficiency of FANETs, which are the Cuckoo Search Algorithm (CUCO), the Differential Evolution Algorithm (DEA)\ and the Honey Bee Algorithm (HBA). Optimum CW size is defined through meta-heuristic optimization algorithms. Performance comparison among CUCO, DEA, HBA, and traditional MAC based on IEEE 802.11 is presented. Relationships among parameters are obtained through Markov chain based analytical study. Performance metrics such as successful transmission probability, collision probability, channel busy probability, throughput, packet dropping rate (PDR), and delay expressions are derived. Simulation results reveal that meta-heuristic optimization algorithms improve the quality and reliability of communication by increasing throughput and decreasing PDR and latency.

See List of Professors in A. F. M. Shahen Shah University(Yildiz Teknik Üniversitesi)

A. F. M. Shahen Shah FAQs

What is A. F. M. Shahen Shah's h-index at Yildiz Teknik Üniversitesi?

The h-index of A. F. M. Shahen Shah has been 15 since 2020 and 15 in total.

What are A. F. M. Shahen Shah's top articles?

The articles with the titles of

Developing and Implementing an IoT Managed by Electronic Devices for Covid Patient Monitoring via a Secured Communication System

Multiple Access Schemes for 6G enabled NTN-assisted IoT Technologies: Recent Developments, Prospects and Challenges

A self-learning deep neural network for classification of breast histopathological images

Enhancing Breast Cancer Classification using a Modified GoogLeNet Architecture with Attention Mechanism

Cooperative THz Communication for UAVs in 6G and Beyond

Improvement of Emergency Communication Systems Using Drones in 5G and Beyond for Safety Applications

Terahertz Communication with MIMO-OFDM in FANETs for 6G

Influence of Channel Fading and Capture for Performance Evaluation in Vehicular Communications

...

are the top articles of A. F. M. Shahen Shah at Yildiz Teknik Üniversitesi.

What are A. F. M. Shahen Shah's research interests?

The research interests of A. F. M. Shahen Shah are: Wireless communications, 6G, Artificial intelligence, IoT, Blockchain

What is A. F. M. Shahen Shah's total number of citations?

A. F. M. Shahen Shah has 783 citations in total.

What are the co-authors of A. F. M. Shahen Shah?

The co-authors of A. F. M. Shahen Shah are Khaled Rabie, PhD, SMIEEE, FHEA, FEAI, Mohiuddin Ahmed, Tureli, Mehmet Serdar Ufuk, Ahmet Zengin, M. Ali Karabulut, A. F. M. Suaib Akhter.

    Co-Authors

    H-index: 34
    Khaled Rabie, PhD, SMIEEE, FHEA, FEAI

    Khaled Rabie, PhD, SMIEEE, FHEA, FEAI

    Manchester Metropolitan University

    H-index: 26
    Mohiuddin Ahmed

    Mohiuddin Ahmed

    Edith Cowan University

    H-index: 22
    Tureli, Mehmet Serdar Ufuk

    Tureli, Mehmet Serdar Ufuk

    Yildiz Teknik Üniversitesi

    H-index: 17
    Ahmet Zengin

    Ahmet Zengin

    Sakarya Üniversitesi

    H-index: 11
    M. Ali Karabulut

    M. Ali Karabulut

    Yildiz Teknik Üniversitesi

    H-index: 6
    A. F. M. Suaib Akhter

    A. F. M. Suaib Akhter

    Sakarya Üniversitesi

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