With a specific focus on energy efficiency, Optimizing IoT Networks examines the application of machine learning to enhance resource allocations in IoT networks.It discusses various algorithms, including neural networks and reinforcement learning, to optimise resource use and improve network performance. It addresses challenges such as the dynamic behaviour of IoT devices and the need for real-time decision-making. It discusses optimisation methods used alongside machine learning to enhance resource allocation efficiency.
* Provides a foundational understanding of IoT network architecture and the importance of efficient resource allocation
* Discusses complexities in resource allocation due to dynamic device behaviour and varying data traffic patterns
* Covers key machine learning concepts and algorithms relevant to optimising resource allocation in IoT networks
* Emphasises the significance of energy efficiency in IoT networks and its impact on resource allocation strategies
* Explores algorithms such as clustering, regression, and reinforcement learning for effective resource allocation
The book is designed for researchers, practitioners, and scholars in computer science and technology who are interested in or actively working on optimising IoT networks.
Sprache
Verlagsort
Verlagsgruppe
Zielgruppe
Für Beruf und Forschung
Für höhere Schule und Studium
Academic
Illustrationen
7 s/w Photographien bzw. Rasterbilder, 91 s/w Zeichnungen, 27 s/w Tabellen, 98 s/w Abbildungen
27 Tables, black and white; 91 Line drawings, black and white; 7 Halftones, black and white; 98 Illustrations, black and white
Maße
Höhe: 240 mm
Breite: 161 mm
Dicke: 20 mm
Gewicht
ISBN-13
978-1-032-99797-1 (9781032997971)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
Dr Suvarna Patil is Associate Professor and Head of Department, Artificial Intelligence and Data Science in Dr D Y Patil Institute of Engineering, Management and Research, Akurdi, Pune. She has completed Ph.D. (Computer Engineering, Science and Technology) from Vishwakarma University with research area for resource allocation and machine to machine communication in IoT network Pune. Completed M.E. (Computer Engineering) in 2015 from Savitribai Phule Pune University. She had completed BE (2000) in Computer Engineering from Pune University. She is member of Association of Computer Machinery (ACM), Indian Society of Technical Education (ISTE) and Computer society of India (CSI). She has more than 40 research papers and book chapters in international, national conferences, and journals, published 2 patens and 3 design patent, and 6 copyrights. She authored 1 book of alpha publication. She has delivered expert talks across a range of domains, including IoT, Machine Learning, wireless sensor networks and IoT. She is reviewer for multiple esteemed journals. Her current area of interest is Optimization of Communication Network, Wireless Networking, IoT and Machine Learning.
Dr. Manisha S. Bhende is working as Professor and Head, Dr. D. Y. Patil Vidyapeeth, Dr. D. Y. Patil School of Science and Technology. She has completed BE(1998), ME(2007) and PhD(2017) in Computer Engineering from University of Pune and bachelor's degree from Government College of Engineering , Amravati, India. Her research interests are IoT and wireless networks, network security, cloud computing, data science and machine learning, data analytics, etc. She has more than 60 research papers and book chapters in international, national conferences, and journals, 1 patent, and 15 copyrights. She authored and edited 4 books and delivered expert talks on various domains such as wireless communication, wireless sensor networks, data science, cyber security, IoT, embedded and real- time operating systems, IPR, innovation, etc. She is a reviewer and examiner for PhD theses and ME dissertations for state and national universities. She received the Regional Young IT Professional Award from CSI in 2006. She is a member of ISTE, ACM, CSI, IAENG, the Internet Society, etc. She is member of ISTE, ACM, CSI, IAENG, Internet Society etc.
Dr. Swati Sharma working as Assistant Professor in Dr. D. Y. Patil Vidyapeeth, Pune. She has completed B.sc (Chem Honors in 2012) from Miranda House University of Delhi, M.sc (Applied Chemistry in 2014) from Gautama Buddha University, India, and Ph.D (2019) in Applied Chemistry with specialization in polymer chemistry from Institute of Science, Banaras Hindu University, India. Her research interest is polymers synthesis, polymer composite, Hydrogel nanocomposite, applications of polymers etc. she has 21 research papers in international journals, national conferences and journals. She has received 10 copyrights on her credit. She is working as reviewer for national/international repute journals and conferences. She is the coordinator of R&D cell, IEEE student branch counselor at the institute level. She is a member of IEEE, IAENG, internet society.
Autor*in
Dr D Y Patil Institute of Engineering Management and Research, Akurdi, Pune
1. IoT Network 2. Research Issues and Performance Analysis in IoT network 3. Distance Aware Gateway Placement in IoT Network 4. Machine Learning Traffic Prediction for Link Selection 5. Fairness-Driven Resource Allocation Optimisation in IoT Network 6. Delay Aware Link Scheduling in IoT network 7. Energy Consumption Optimisation in IoT network 8. Future Directions and Trends in IoT Network 9. Practical Applications and Case Studies: Realising the Potential of IoT Resource Allocation
