Book Image

Internet of Things from Scratch

By : Renaldi Gondosubroto
Book Image

Internet of Things from Scratch

By: Renaldi Gondosubroto

Overview of this book

Develop the skills essential for building Internet of Things solutions with this indispensable guide. In an era where industries heavily rely on IoT, this book will quickly familiarize you with its foundations, widespread use, implementation guided by best practices, and the crucial technologies that allow it to work effectively. Starting with the use of IoT in real-life scenarios, this book offers comprehensive insights into basic IoT hardware, protocols, and technologies. You’ll then learn about architecting and implementing solutions such as wireless sensor networks, cloud computing with AWS, and crucial security considerations. You’ll understand how these systems are operated and monitored over time and work with simple to complex, industry-grade systems, adhering to best practices. In later chapters, you’ll be apprised of future IoT trends and strategies to manage the risks and opportunities that come with them. You’ll also get to grips with a diverse set of tools, including hardware such as ESP32 and Raspberry Pi, and software such as Mosquitto and ChatGPT for generative AI capabilities. By the end of this IoT book, you’ll be able to independently build and design complex, industry-standard solutions fully aligned with best practices.
Table of Contents (22 chapters)
1
Part 1: Getting Started with the Internet of Things
6
Part 2: Developing and Optimizing IoT Systems for Smart Environments
11
Part 3: Operating, Maintaining, and Securing IoT Networks
16
Part 4: Delving into Complex Systems and the Future of IoT

Optimizing edge computing on networks

Optimizing edge computing on networks is a crucial step in ensuring that edge devices are utilized effectively and efficiently. In this section, we will explore various strategies for optimizing edge computing workloads, including workload distribution, resource allocation, data processing techniques, and security considerations. By understanding and applying these strategies, developers and system architects can harness the full potential of edge computing, delivering efficient, responsive, and secure IoT solutions. Additionally, we will briefly touch on optimizing the network infrastructure and communication protocols to be able to achieve this while also learning how to evaluate edge networks and will finally use all these tools to look at a smart city case study.

Strategies for optimizing edge computing workloads

We will discuss three main strategies to optimize edge computing workloads: load balancing, resource allocation, and data management...