Eco-Networking for IoT

Designing Energy-Efficient Models to Enhance Network Performance

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Éditeur :

Apress

Paru le : 2026-04-08

Learn to design IoT models focused on reducing energy consumption and increasing network performance. This book offers a complete approach towards construction of energy-efficient models on IoT for network optimization. It describes fundamental principles of IoT and networking to advanced energy-sav...
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À propos


Éditeur

Collection
n.c

Parution
2026-04-08

Pages
440 pages

EAN papier
9798868823169

Dr. Divya Sharma is Assistant Professor at Department of Computer Applications, GL Bajaj College of Technology and Management. Dr. Sharma specializes in optimizing IoT networks for long-term stability and high levels of performance for communication among multiple connected devices. IEFUF solves some of the most challenging challenges to improve the efficiency and reliability of modern IoT networks with her innovative work. Aside from her academic duties, Dr. Sharma partners with industry professionals to translate theoretical research into practical solutions and advances IoT applications in the real world. Her publications have appeared in top journals, and she has presented her research at national and international conferences. Dr. Sharma is keen to contribute to IoT and play a part in positively impacting the future of technology. Dr. Bishwajeet Kumar Pandey is a Professor at the Department of Intelligent System and Cyber Security, Astana IT University Kazakhstan. He is a senior member of IEEE, USA since 2019. He is also a visiting professor at Eurasian National University, Astana, Kazakhstan (QS World Rank 355) and UCSI University, Kuala Lumpur, Malaysia (QS World Rank 300). He is a research Fellow at the University of Sultan Zainul Abdin (UniSZA), Malaysia. With over 15 years of experience, he has worked as a Research Consultant and Associate Visiting Professor. He has authored over 200 papers and published ten books. His interests include Green Computing, High-Performance Computing, Cyber-Physical Systems, Machine Learning, and Cyber Security.

Caractéristiques détaillées - droits

EAN PDF
9798868823176
Prix
46,34 €
Nombre pages copiables
4
Nombre pages imprimables
44
Taille du fichier
10557 Ko
EAN EPUB
9798868823176
Prix
46,34 €
Nombre pages copiables
4
Nombre pages imprimables
44
Taille du fichier
11254 Ko

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