Memories for the Intelligent Internet of Things
1. Edition June 2018
344 Pages, Hardcover
Wiley & Sons Ltd
Further versions
A detailed, practical review of state-of-the-art implementations of memory in IoT hardware
As the Internet of Things (IoT) technology continues to evolve and become increasingly common across an array of specialized and consumer product applications, the demand on engineers to design new generations of flexible, low-cost, low power embedded memories into IoT hardware becomes ever greater. This book helps them meet that demand. Coauthored by a leading international expert and multiple patent holder, this book gets engineers up to speed on state-of-the-art implementations of memory in IoT hardware.
Memories for the Intelligent Internet of Things covers an array of common and cutting-edge IoT embedded memory implementations. Ultra-low-power memories for IoT devices-including plastic and polymer circuitry for specialized applications, such as medical electronics-are described. The authors explore microcontrollers with embedded memory used for smart control of a multitude of Internet devices. They also consider neuromorphic memories made in Ferroelectric RAM (FeRAM), Resistance RAM (ReRAM), and Magnetic RAM (MRAM) technologies to implement artificial intelligence (AI) for the collection, processing, and presentation of large quantities of data generated by IoT hardware. Throughout the focus is on memory technologies which are complementary metal oxide semiconductor (CMOS) compatible, including embedded floating gate and charge trapping EEPROM/Flash along with FeRAMS, FeFETs, MRAMs and ReRAMs.
* Provides a timely, highly practical look at state-of-the-art IoT memory implementations for an array of product applications
* Synthesizes basic science with original analysis of memory technologies for Internet of Things (IoT) based on the authors' extensive experience in the field
* Focuses on practical and timely applications throughout
* Features numerous illustrations, tables, application requirements, and photographs
* Considers memory related security issues in IoT devices
Memories for the Intelligent Internet of Things is a valuable working resource for electrical engineers and engineering managers working in the electronics system and semiconductor industries. It is also an indispensable reference/text for graduate and advanced undergraduate students interested in the latest developments in integrated circuit devices and systems.
In their new book, Memories for the Intelligent Internet of Things, Betty Prince, with her co-author David Prince, once again deliver to her high standards of content: the book provides the essential details from a whopping 456 technical articles and refereed papers on every memory technology imaginable, from common flash memory to roll-printed organic polymers This book will prove useful to anyone who needs to rapidly gain a broad understanding of the Intelligent IoT and all of the memory types that it can potentially use. - Jim Handy, OBJECTIVE ANALYSIS: Semiconductor Market Research, USA
Industrial maturity usually goes hand in hand with extreme specialization. The IoT driven renaissance in new memory technologies however calls out for a treatment that is both broad and deep. Luckily two of the few polymaths in the area have done it proud. Memories for the Intelligent Internet of Things by Betty and David Prince is the best so far. With almost five hundred references and an excellent first chapter that explains the Intelligent IoT using Smart Cities to set the scene, all of the incumbent and new solid-state memory technologies are covered: Flash, EEPROM, FeRAM, RRAM, MRAM, PCM, SONOS, MONOS, CB-RAM. It s all here. From device cross sections all the way to system implementation. I heartily recommend this book to anyone interested in this area, from academics and engineers working in the area to those curious about solid-state memories and what is driving their development. The shaking memory hierarchy has been explained. - Andrew Walker - CEO/Founder of Schiltron Corporation; VP of Spin Memory
DAVID PRINCE has worked with the memory reports written by Memory Strategies International for the last eighteen years. He holds degrees in Computer Science, Physics, and Astronomy from the University of Texas.
