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This book discusses single-channel, device-to-device communication in the Internet of Things (IoT) at the signal encoding level and introduces a new family of encoding techniques that result in significant simplifications of the communication circuitry. These simplifications translate into lower power consumption, smaller form factors, and dynamic data rates that are tolerant to clock discrepancies between transmitter and receiver. Readers will be introduced to signal encoding that uses edge-coded signaling, based on the coding of binary data as counts of transmitted pulses. The authors fully explore the far-reaching implications of these novel signal-encoding techniques and illustrate how their usage can help minimize the need for complex circuitries for either clock and data recovery or duty-cycle correction. They also provide a detailed description of a complete ecosystem of hardware and firmware built around edge-code signaling. The ecosystem comprises an application-specific processor, automatic protocol configuration, power and data rate management, cryptographic primitives, and automatic failure recovery modes. The innovative IoT communication link and its associated ecosystem are fully in line with the standard IoT requirements on power, footprint, security, robustness, and reliability.
This book investigates novel signal encoding techniques for low-power, single-channel IoT communication. The authors, Abe M. M. Elfadel and Shahzad Muzaffar, introduce a new family of edge-coded signaling methods that encode binary data as counts of transmitted pulses. These techniques significantly simplify communication circuitry, leading to reduced power consumption, smaller device footprints, and dynamic data rates that accommodate clock discrepancies. The work explores the implications of these methods for minimizing complex clock and data recovery or duty-cycle correction circuits.
The book presents innovative IoT communication link technology and an associated ecosystem designed to meet standard IoT requirements for power, footprint, security, robustness, and reliability. The authors' exploration of edge-coded signaling and its implications for hardware simplification and power efficiency suggests a focus on practical, implementable solutions for the Internet of Things. The detailed description of the hardware and firmware ecosystem indicates a comprehensive approach to the subject matter, likely appealing to engineers and researchers in the field. The work aims to provide a foundation for more efficient and reliable IoT device communication.
Page Count:
152
Publication Date:
2022-05-06
Publisher:
Springer Nature
ISBN-10:
3030959147
ISBN-13:
9783030959142
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