Analyzing data and deriving meaningful conclusions from a sensor is the goal of IoT. When we scale to thousands to millions and potentially billions of objects communicating and streaming data non-stop, we have to introduce advanced tools to ingest, store, marshal, analyze, and predict meaning from this sea of data. Cloud computing is one element in enabling that service in the form of clusters of scalable hardware and software. Fog Computing brings cloud processing closer to the edge to resolve issues with latency, security, and communication costs. Both technologies work together to run analytics packages in the form of rules engines to complex event processing agents. Choosing the model of cloud providers, frameworks, fog nodes, and analytics modules is a significant task and much literature goes deep into the semantics of programming and building these services. An architect must understand the topology and the end goal of the system to build a structure that meets today's needs...
Internet of Things for Architects
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Internet of Things for Architects
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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 (18 chapters)
Title Page
Packt Upsell
Contributors
Preface
IoT Architecture and Core IoT Modules
Sensors, Endpoints, and Power Systems
Communications and Information Theory
Non-IP Based WPAN
IP-Based WPAN and WLAN
Long-Range Communication Systems and Protocols (WAN)
Routers and Gateways
IoT Edge to Cloud Protocols
Cloud and Fog Topologies
Data Analytics and Machine Learning in the Cloud and in the Fog
IoT Security
Consortiums and Communities
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Customer Reviews