Optimising IoT Networks: Energy-Efficient Resource Management through Machine Learning [Hardcover]

The book examines the application of machine learning to enhance resource allocation in IoT networks, with a specific focus on energy efficiency. It discusses various algorithms, including neural networks and reinforcement learning, to optimize resource use and improve network performance.?

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 bachelors degree from Government College of Engineering , Amravati, India. Her research interests are IoT and wireless networks, network security, cloud computing,l“2