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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Constraints of cloud architectures for IoT

A cloud service provider sits outside the IoT edge device and presides over the wide area network. One particular trait of the IoT architecture is that the PAN and WPAN devices may not be IP-compliant. Protocols such as Bluetooth Low Energy (BLE) and Zigbee are not IP-based, while everything on the WAN, including the cloud, is IP-based.

Thus, the role of the edge gateway is to perform that level of translation:

Figure 4: Latency effects in the cloud. Hard real-time response is critical in many IoT applications and forces processing to move closer to the endpoint device

Latency effect

Another effect is the latency and response time for events. As you get closer to the sensor, you enter the realm of hard real-time requirements. These systems are typically deeply embedded systems or microcontrollers that have latency set by real-world events. For example, a video camera is sensitive to the frame rate (typically 30...