Book Image

IoT and Edge Computing for Architects - Second Edition

By : Perry Lea
Book Image

IoT and Edge Computing for Architects - Second Edition

By: Perry Lea

Overview of this book

Industries are embracing IoT technologies to improve operational expenses, product life, and people's well-being. An architectural guide is needed if you want to traverse the spectrum of technologies needed to build a successful IoT system, whether that's a single device or millions of IoT devices. IoT and Edge Computing for Architects, Second Edition encompasses the entire spectrum of IoT solutions, from IoT sensors to the cloud. It examines modern sensor systems, focusing on their power and functionality. It also looks at communication theory, paying close attention to near-range PAN, including the new Bluetooth® 5.0 specification and mesh networks. Then, the book explores IP-based communication in LAN and WAN, including 802.11ah, 5G LTE cellular, Sigfox, and LoRaWAN. It also explains edge computing, routing and gateways, and their role in fog computing, as well as the messaging protocols of MQTT 5.0 and CoAP. With the data now in internet form, you'll get an understanding of cloud and fog architectures, including the OpenFog standards. The book wraps up the analytics portion with the application of statistical analysis, complex event processing, and deep learning models. The book then concludes by providing a holistic view of IoT security, cryptography, and shell security in addition to software-defined perimeters and blockchains.
Table of Contents (17 chapters)
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Information theory

There are preliminary theories that need to be understood before detailing WAN specifics. One thing that is germane to communication is how bitrate affects transmission power, which in turn affects range. There are limits to the integrity of data and bitrates, as we will learn. Additionally, we need to classify narrowband versus wideband communication.

Bitrate limits and the Shannon-Hartley theorem

In long-range communication and short-range communication, the goal is to maximize bitrate and distance within the constraints of spectrum and noise. The Shannon-Hartley theorem is composed of work from Claude Shannon of MIT in the 1940s (C. E. Shannon (1949/1998). The Mathematical Theory of Communication. Urbana, IL: University of Illinois Press) and Ralph Hartley from Bell Labs in the 1920s (R. V. L. Hartley (July 1928). "Transmission of Information" (PDF). Bell System Technical Journal). Foundational work was developed by Harry Nyquist,...