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IoT and Edge Computing for Architects

IoT and Edge Computing for Architects - Second Edition

By : Perry Lea
4.8 (19)
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IoT and Edge Computing for Architects

IoT and Edge Computing for Architects

4.8 (19)
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, 2E 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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Index

Sensors, Endpoints, and Power Systems

The Internet of Things (IoT) begins with sources of data or devices that perform an action. These we call endpoints or nodes, and they are the things associated with the Internet. When one discusses IoT, in general, the actual sources of data are often overlooked. These sources are sensors outputting a stream of time-correlated data that must be transmitted securely, possibly analyzed, and possibly stored. The value of IoT is in the data in aggregate. Therefore, the data a sensor provides is crucial. However, for an architect, it is critical to understand the data as well as how the data is interpreted. Besides understanding what data is collected and how it is acquired, in a massive IoT deployment, it is useful to know what can be sensed, and what the constraints are for various sensors. For example, a system must account for lost devices and erroneous data. An architect must understand the reasons...

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