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Internet of Things for Architects

Internet of Things for Architects

By : Perry Lea
4.2 (10)
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Internet of Things for Architects

Internet of Things for Architects

4.2 (10)
By: Perry Lea

Overview of this book

The Internet of Things (IoT) is the fastest growing technology market. Industries are embracing IoT technologies to improve operational expenses, product life, and people's well-being. An architectural guide is necessary 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 devices. This book encompasses the entire spectrum of IoT solutions, from sensors to the cloud. We start by examining modern sensor systems and focus on their power and functionality. After that, we dive deep into communication theory, paying close attention to near-range PAN, including the new Bluetooth® 5.0 specification and mesh networks. Then, we explore IP-based communication in LAN and WAN, including 802.11ah, 5G LTE cellular, Sigfox, and LoRaWAN. Next, we cover edge routing and gateways and their role in fog computing, as well as the messaging protocols of MQTT and CoAP. With the data now in internet form, you'll get an understanding of cloud and fog architectures, including the OpenFog standards. We wrap up the analytics portion of the book with the application of statistical analysis, complex event processing, and deep learning models. Finally, we conclude by providing a holistic view of the IoT security stack and the anatomical details of IoT exploits while countering them with software defined perimeters and blockchains.
Table of Contents (15 chapters)
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1
The IoT Story

What this book covers

Chapter 1, The IoT Story, introduces you to the growth, the importance, and the impact of the IoT from a narrative and historical perspective. You will also learn of use cases in various areas including industrial IoT, smart cities, transportation, and healthcare.

Chapter 2, IoT Architecture and Core IoT Modules, presents the overall picture of the combination of technologies covered in this book. Each segment has a purpose and can unknowingly affect each other. This is an important chapter for an architect to under the “big picture” of inter-related technologies. This chapter also explores the ways to place a value on IoT.

Chapter 3, Sensors, Endpoints, and Power Systems, explores billions of edge endpoints and sensor technologies that will be placed on the internet. Fundamentals of sensor designs, architectures, and power systems are taught.

Chapter 4, Communications and Information Theory, will review important material on the dynamics and mathematical models that define communication systems important to IoT. You will understand the theory behind architectural decisions in selecting the proper forms of telecommunication.

Chapter 5, Non-IP-Based WPAN, discusses all the major non-IP-based protocols and technologies at the IoT Edge. This chapter includes a deep review of the new Bluetooth 5 architecture, Zigbee, Z-Wave, and mesh topologies for sensor networks.

Chapter 6, IP-Based WPAN and WLAN, will complete the near-range communication with a treatment of IP-based communication, including 6LoWPAN, Thread, and IEEE 802.11 standards. This chapter also details new 802.11 protocols such as 802.11p for vehicular communication and 802.11ah for IoT.

Chapter 7, Long-Range Communication Systems and Protocols (WAN), covers wide area network and long-range communication transport data from things to the cloud. This chapter covers in detail all the cellular LTE standards, LoRaWAN, Sigfox, as well as new LTE narrowband and 5G architectures.

Chapter 8, Routers and Gateways, discusses the importance of edge routing and gateway functions. This chapter explores routing systems, gateway functions, VPNs, VLANs, and traffic shaping, and it covers software-defined networking.

Chapter 9, IoT Edge to Cloud Protocols, introduces you to the prevalent IoT to cloud protocols, such as MQTT, MQTT-SN, CoAP, AMQP, and STOMP. You will learn how to use them and, importantly, which to use.

Chapter 10, Cloud and Fog Topologies, explores the fundamentals of cloud architectures using OpenStack as a reference. You will learn of cloud constraints and how fog computing (using frameworks such as the OpenFog standard) seeks to solve these problems.

Chapter 11, Data Analytics and Machine Learning in the Cloud and in the Fog, covers the technologies and use cases for analyzing the myriad of IoT data efficiently using tools, such as rules engines, complex event processing, and lambdas. This chapter also explores machine learning applications for IoT data and where it makes sense to use them.

Chapter 12, IoT Security, covers security from a holistic view for every IoT component covered in this book. You will understand the theory and architecture of protocol, hardware, software-defined perimeter, and block-chain security.

Chapter 13, Consortiums and Communities, details the numerous industrial, academic, and government consortiums defining the standards and rules around the Internet of Things.

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