Smart Chips for Smart Devices

Nyhet

VLSI Design for Next-Generation IoT Solutions

Inbunden, Engelska, 2026

2 499 kr

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Master the future of semiconductor technology with this essential guide, which provides the advanced circuit design strategies necessary to develop the high-performance, low-power VLSI chips that drive the modern IoT revolution. The IoT revolution has created a demand for ever-more-sophisticated and compact devices, making VLSI design a significant concern. The demand for low-power, efficient, portable, and reliable semiconductor chips forces research into developing new designs and techniques to cater to these advanced applications. This book explores the state-of-the-art field of Very-Large-Scale Integration design, emphasizing how it is used in the Internet of Things. It demonstrates strategies that combine VLSI in IoT applications, covering a wide range of subjects that are crucial for creating integrated circuits that are dependable, powerful, and high-performing. The book explores advanced circuit design, system-on-chip (SoC) architectures, and basic VLSI design ideas. Additionally, it addresses important aspects of IoT applications, like sensor integration, low power consumption, and secure communication protocols through case studies and practical applications that show how theoretical ideas are put to use in real-world settings to address the unique requirements of IoT systems. Designed for engineers, designers, and researchers, this book is an essential guide for using VLSI principles to make more creative, scalable, and effective Internet of Things solutions.

Produktinformation

Utgivningsdatum2026-03-04
FormatInbunden
SpråkEngelska
Antal sidor384
FörlagJohn Wiley & Sons Inc
ISBN9781394335800

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Elektronik och kommunikationer inom Naturvetenskap och teknik

Abhishek Kumar, PhD is an Associate Professor in the School of Electronics and Electrical Engineering at Lovely Professional University with more than 11 years of experience. He has published more than 55 research papers in respected journals, five books, and 20 patents, contributed to numerous conference proceedings and e-books, and registered five copyrights. His research interests include hardware security, cryptanalysis, and machine learning. Suman Lata Tripathi, PhD is a Professor at Lovely Professional University with more than 22 years of experience in academics and research. She has published more than 125 research papers in refereed journals, conference proceedings, and e-books, 27 books, 14 Indian patents, and four copyrights. Her area of expertise includes microelectronics device modeling and characterization, low-power VLSI circuit design, VLSI design testing, and advanced FET design for IoT.

Preface xix1 Integration of Nanotechnology and Machine Learning in Healthcare: Fundamentals, Applications, and Future Scope 1Bindu S., Prashanth M. K. and Mohan Kishore D.2 FPGA-Based Hardware Accelerators for ANN and DNN 31Abhishek Kumar3 Analysis of Double-Gate Tunnel FET Using AI and ML 49Siga Karthik and Sanjeet Kumar Sinha4 NC-TFET Device and Its Applications in Future VLSI 65Katuri Yeshwant and Sanjeet Kumar Sinha5 Low-Power VLSI Design Techniques for High-Performance Applications 77Ashutosh Kumar Yadav, Sweta Chander, Suman Lata Tripathi and Sanjeet Kumar Sinha6 The Role of Artificial Intelligence and Machine Learning in Modern Healthcare Systems 103Anudeep Goraya7 CMOS 90nm-Based Two-Stage Differential Amplifier 123Lingampalli Abhijith, Hakke Mayuri Shahuraj, Sobhit Saxena and Suman Lata Tripathi8 Smart Self-Powered Wireless Sensor Network for Industrial Monitoring 141G. Thirumalaiah and Mudassir Khan9 Recent Advancements in High Electron Mobility Transistor-Based Monolithic Microwave Integrated Circuits: A Review 179S.K. Hima Bindhu, Yogesh Kumar Verma and Kamal Bhatia10 Ferroelectric Gated Field Effect Transistors 191Ankush Mondal, Amandeep Singh, Sweta Chander and Sanjeet K. Sinha11 Design and Analysis of a Boolean Function Using CMOS-Based Logic Styles 215Vanshika Nanda and Suman Lata Tripathi12 SAFETRACK: A Next-Generation Vehicle Tracking and Safety System Using Arduino and GPS 233Manoj Kumar Yadav, Dinesh Singh and Jhulan Kumar13 The Role of VLSI in Next-Generation IoT Systems 249S. Deepa, S. Pavan Kumar, V. Arun and J. Lalidesh14 Using AMF Filtering Techniques, Compression of Clinical Images for Improvement in Compression Parameters 269Suman Rani and Jaibir Singh15 Underwater Corrosion Detection: Utilizing Convolutional Neural Networks and Image Processing 279Sai Srija Achukolu, Bhushan Vasant Nanaware, Ravindra Singh, Vaibhav Singh, Aadarsh Kumar and Harpreet Singh Bedi16 Metamaterial Integrated Wearable Ultrawide Bandwidth Antenna with Low Specific Absorption Rate 291S. Prasad Jones Christydass, S. Suresh Kumar and Yerumbu Nandakishora17 Industry 5.0: Opportunities, Challenges, and Potential Directions for Future Research 307Pankaj Kumar Keshri18 Design and Simulation of an Audio Watch to Address the Problem Faced by Elderly People 325Shahid Shabir, Krishan Arora and Anshul MahajanReferences 340Index 341