Green Machine Learning Protocols for Future Communication Networks (eBook, PDF)

Redaktion: Ghafoor, Saim; Rehmani, Mubashir Husain

• Format: PDF

Produktbeschreibung

This book covers the green machine learning protocols for cellular communication, federated learning-based models and protocols for beyond 5th-generation networks, approaches for cloud-based communications, and IoT, the design considerations and challenges for green machine learning protocols for different future applications.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 222
• Erscheinungstermin: 25. Oktober 2023
• Englisch
• ISBN-13: 9781000968927
• Artikelnr.: 68687626

Autorenporträt

Saim Ghafoor (M'17, SM'19) Saim Ghafoor received his Ph.D. in Computer Science from University College Cork, Ireland in 2018. He completed his M.S. in Computer Science and Engineering from Hanyang University, South Korea in 2010 and B.E in Computer Systems Engineering from Mehran University of Engineering and Technology, Pakistan in 2005. Currently, he is working as an Assistant Lecturer at Atlantic Technological University (ATU), Donegal, Ireland. He worked at Telecommunications Software and Systems Group (TSSG), Waterford Institute of Technology (WIT), Waterford, Ireland as Post-Doctoral researcher from June 2018 to August 2020. He is currently an Associate Editor of the Elsevier, Computer and Electrical Engineering Journal and serving as a reviewer for many reputable journals and conferences. He co-organized a workshop on Terahertz wireless communication in IEEE INFOCOM 2019. He also received a best student paper award in International Conference on Disaster Management in 2017. He received best reviewer of the year award from Elsevier Computer and Electrical Engineering Journal in 2014 and 2015, and many reviewer recognitions certificates. His research interests are Terahertz and millimetre communication networks, autonomous and intelligent communication networks, cognitive radio networks and wireless sensor networks. Personal Webpage: https://sites.google.com/view/saimghafoor Email: [e-mail] Mubashir Husain Rehmani (M'14-SM'15) received the B.Eng. degree in computer systems engineering from Mehran University of Engineering and Technology, Jamshoro, Pakistan, in 2004, the M.S. degree from the University of Paris XI, Paris, France, in 2008, and the Ph.D. degree from the University Pierre and Marie Curie, Paris, in 2011. He is currently working as Lecturer in the Department of Computer Science, Munster Technological University (MTU), Ireland. Prior to this, he worked as Post Doctoral Researcher at the Telecommunications Software and Systems Group (TSSG), Waterford Institute of Technology (WIT), Waterford, Ireland. He also served for five years as an Assistant Professor at COMSATS Institute of Information Technology, Wah Cantt., Pakistan. He is serving as an Editorial Board Member of NATURE Scientific Reports. He is currently an Area Editor of the IEEE Communications Surveys and Tutorials. He served for three years (from 2015 to 2017) as an Associate Editor of the IEEE Communications Surveys and Tutorials. He served as Column Editor for Book Reviews in IEEE Communications Magazine. He is appointed as Associate Editor for IEEE Transactions on Green Communication and Networking. Currently, he serves as Associate Editor of IEEE Communications Magazine, Elsevier Journal of Network and Computer Applications (JNCA), and the Journal of Communications and Networks (JCN). He is also serving as a Guest Editor of Elsevier Ad Hoc Networks journal, Elsevier Future Generation Computer Systems journal, the IEEE Transactions on Industrial Informatics, and Elsevier Pervasive and Mobile Computing journal. He has authored/edited total eight books. Two books with Springer, two books published by IGI Global, USA, three books published by CRC Press - Taylor and Francis Group, UK, and one book with Wiley, U.K. He received "Best Researcher of the Year 2015 of COMSATS Wah" award in 2015. He received the certificate of appreciation, "Exemplary Editor of the IEEE Communications Surveys and Tutorials for the year 2015" from the IEEE Communications Society. He received Best Paper Award from IEEE ComSoc Technical Committee on Communications Systems Integration and Modeling (CSIM), in IEEE ICC 2017. He consecutively received research productivity award in 2016-17 and also ranked # 1 in all Engineering disciplines from Pakistan Council for Science and Technology (PCST), Government of Pakistan. He received Best Paper Award in 2017 from Higher Education Commission (HEC), Government of Pakistan. He is the recipient of Best Paper Award in 2018 from Elsevier Journal of Network and Computer Applications. He is the recipient of Highly Cited Researcher(TM) award thrice in 2020, 2021, and 2022 by Clarivate, USA. His performance in this context features in the TOP 1% by citations in the field of Computer Science and Cross Field in the Web of Science(TM) citation index. He is the ONLY Researcher from Ireland in the field of "Computer Science" who received this International prestigious award. In Oct 2022, he received Science Foundation Ireland's CONNECT Centre's Education and Public Engagement (EPE) Award 2022 for his research outreach work and being a spokesperson for achieving a work-life balance for a career in research. Personal Webpage: https://sites.google.com/site/mubrehmani/ Email: [e-mail]

Inhaltsangabe

1. Green Machine Learning for Cellular Networks by Saad Aslam, Houshyar
Honar Pajooh, Muhammad Nadeem and Fakhrul Alam. 2. Green Machine Learning
Protocols for Cellular Communication by Mamoon M. Saeed, Elmustafa Sayed
Ali, Rashid A. Saeed and Mohammad Abdul Azim. 3. Green Federated
Learning-based Models and Protocols by Afaf Taik, Amine Abouaomar and
Soumaya Cherkaoui. 4. GREEN6G: Chameleon Federated Learning for Energy
Efficient Network Slicing in Beyond 5G Systems by Anurag Thantharate. 5.
Green Machine Learning Approaches for Cloud-Based Communications by Mona
Bakri Hassan, Elmustafa Sayed Ali and Rashid A. Saeed. 6. Green Machine
Learning for Internet of Things: Current Solutions and Future Challenges by
Hajar Moudoud, Zoubeir Mlika, Soumaya Cherkaoui and Lyes Khoukhi. 7. Green
Machine Learning Protocols for Machine-to-Machine Communication by
Sreenivasa Reddy Yeduri, Sindhusha Jeeru and Linga Reddy Cenkeramaddi.