Memories for the intelligent internet of things /
Betty Prince and David Prince.
- 1 online resource
Includes bibliographical references and index.
Intro; Title Page; Copyright Page; Contents; Introduction to the Intelligent Internet of Things; Chapter 1 Smart Cities as the Prototype of the Intelligent Internet of Things; 1.1 Overview; 1.2 Smart Cities; 1.3 Smart Commerce as an Element of the Smart City; 1.3.1 Smart Inventory Control; 1.3.2 Smart Delivery; 1.3.3 Smart Marketing Using Artificial Intelligence; 1.4 Smart Residences; 1.4.1 A City of Smart Connected Homes; 1.5 People as Center of Smart Connected Homes; 1.5.1 Wearable Electronics; 1.5.2 Control Electronics; 1.6 Smart Individual Transportation. 1.6.1 Overview of Smart Automobiles1.6.2 Driving Aids; 1.6.3 Engine Processors; 1.6.4 Auto Body Processors; 1.6.5 Infotainment Processors; 1.6.6 Autonomous Cars; 1.7 Smart Transportation Networks; 1.7.1 Smart Public Conveyance Networks; 1.7.2 Individual Automotive Traffic Control; 1.7.3 Smart Highways; 1.8 Smart Energy Networks; 1.8.1 Smart Electrical Meters; 1.8.2 Smart Electrical Grids; 1.9 Smart Connected Buildings; 1.9.1 Smart Office Buildings; 1.9.2 Smart Factories; 1.9.3 Intelligent Hospitals; 1.9.4 Smart Public Buildings; 1.10 Thoughts; References. Chapter 2 Memory Applications for the Intelligent Internet of Things2.1 Introduction; 2.2 Comparisons of the Various Nonvolatile Embedded Memories Characteristics; 2.2.1 Embedded EEPROM, Flash, and Fuse Devices; 2.2.2 Embedded Emerging Memory Devices in MCU; 2.2.3 Required Properties of Embedded Nonvolatile Memories in Various Applications; 2.3 Circuits Using Ultralow Power MCU with Embedded Memory for Energy Harvesting; 2.3.1 Introduction to Ultralow Power MCU Using Energy Harvesting; 2.3.2 Ultralow Power MCU with Embedded Flash Memory for Energy Harvesting. 2.3.3 Ultralow Power MCU with Embedded FeRAM Memory for Energy Harvesting2.3.4 Ultralow Power MCU with Embedded RRAM Memory for Energy Harvesting; 2.3.5 Ultralow Power MCU for Energy Harvesting Power Management; 2.4 Ultralow Power Battery Operated Flash MCU; 2.4.1 Introduction to Ultralow Power Battery Operated Flash MCU; 2.4.2 Ultralow Power Battery Operated Flash MCU with Embedded Flash Memory; 2.4.3 Ultralow Power Battery Operated MCU with Embedded RRAM; 2.4.4 Ultralow Power Battery Operated MCU with Embedded FeRAM; 2.5 Nonvolatile MCUs Using Emerging Memory for Nonvolatile Logic. 2.5.1 Nonvolatile Logic Arrays Using FeRAM2.5.2 Nonvolatile Logic Arrays Using MTJ MRAM; 2.5.3 Processors with RRAM for Nonvolatile Logic Arrays; 2.6 Communication Protocols for Memory Sensor Tags; 2.6.1 Radio Frequency Identification (RFID) Tags; 2.6.2 Near Field Communications (NFC); 2.6.3 Bluetooth-Based Beacons and Sensor Nodes; 2.6.4 IoT Devices with Wi-Fi; 2.6.5 IoT Devices with USB Connectivity; 2.6.6 Single Wire Connectivity; 2.6.7 Zigbee Interface; 2.6.8 ANT Interface; 2.7 Wearable Medical Devices; 2.7.1 Overview of Wearable Medical Devices.
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.'