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A. K. M. Muzahidul Islam
Researcher at United International University
Publications - 68
Citations - 562
A. K. M. Muzahidul Islam is an academic researcher from United International University. The author has contributed to research in topics: Wireless sensor network & Cognitive radio. The author has an hindex of 11, co-authored 61 publications receiving 388 citations. Previous affiliations of A. K. M. Muzahidul Islam include Universiti Teknologi Malaysia & University of Liberal Arts Bangladesh.
Papers
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Journal ArticleDOI
Clustering Analysis in Wireless Sensor Networks: The Ambit of Performance Metrics and Schemes Taxonomy
Asim Zeb,A. K. M. Muzahidul Islam,Mahdi Zareei,Ishtiak Al Mamoon,Nafees Mansoor,Sabariah Baharun,Yoshiaki Katayama,Shozo Komaki +7 more
TL;DR: In this article, a wireless sensor network (WSN) has increased tremendously throughout the years, and sensor nodes are deployed to operate autonomously in remote environments in WSNs.
Journal ArticleDOI
Mobility-aware medium access control protocols for wireless sensor networks: A survey
Mahdi Zareei,A. K. M. Muzahidul Islam,Cesar Vargas-Rosales,Nafees Mansoor,Shidrokh Goudarzi,Mubashir Husain Rehmani +5 more
TL;DR: The state of the art of medium access control protocols with mobility-handling capabilities is overviewed, a comparative study of the most well-known mobility aware MAC protocols is given, and future research directions for mobility-aware MAC protocols are presented.
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Cognitive Radio Ad-Hoc Network Architectures: A Survey
Nafees Mansoor,A. K. M. Muzahidul Islam,Mahdi Zareei,Sabariah Baharun,Toshio Wakabayashi,Shozo Komaki +5 more
TL;DR: The state of the art of cognitive radio ad-hoc network architecture is surveyed in this paper, where the paper specifies the formation mechanisms and performance evaluations of the studied architectures.
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Challenges, Applications and Design Aspects of Federated Learning: A Survey
K. M. Jawadur Rahman,Faisal Ahmed,Nazma Akhter,Mohammad Tariq Hasan,Ruhul Amin,Kazi Ehsan Aziz,A. K. M. Muzahidul Islam,Md. Saddam Hossain Mukta,A. K. M. Najmul Islam +8 more
TL;DR: Federated learning (FL) has been a hot research topic as mentioned in this paper, which enables the training of an algorithm across multiple decentralized edge devices or servers holding local data samples without exchanging them.
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Towards development of IoT-ML driven healthcare systems: A survey
TL;DR: A unique taxonomy from an IoT-ML–based healthcare perspective where key steps in developing healthcare systems are highlighted and an ML pipeline centering on healthcare application is shown and discussed every step of it is proposed.