Encapsulates different case studies where green-IOT and machine learning can be used for making significant progress towards improvising the quality of life and sustainable environment.

The Internet of Things (IoT) is an evolving idea which is responsible for connecting billions of devices that acquire, perceive, and communicate data from their surroundings. Because this transmission of data uses significant energy, improving energy efficiency in IOT devices is a significant topic for research. The green internet of things (G-IoT) makes it possible for IoT devices to use less energy since intelligent processing and analysis are fundamental to constructing smart IOT applications with large data sets. Machine learning (ML) algorithms that can predict sustainable energy consumption can be used to prepare guidelines to make IoT device implementation easier.

Green Internet of Things and Machine Learning lays the foundation of in-depth analysis of principles of Green-Internet of Things (G-IoT) using machine learning. It outlines various green ICT technologies, explores the potential towards diverse real-time areas, as well as highlighting various challenges and obstacles towards the implementation of G-IoT in the real world. Also, this book provides insights on how the machine learning and green IOT will impact various applications: It covers the Green-IOT and ML-based smart computing, ML techniques for reducing energy consumption in IOT devices, case studies of G-IOT and ML in the agricultural field, smart farming, smart transportation, banking industry and healthcare.

Audience

The book will be helpful for research scholars and researchers in the fields of computer science and engineering, information technology, electronics and electrical engineering. Industry experts, particularly in R&D divisions, can use this book as their problem-solving guide.

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Yes, you can access Green Internet of Things and Machine Learning by Roshani Raut,Sandeep Kautish,Zdzislaw Polkowski,Anil Kumar,Chuan-Ming Liu in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Wiley-Scrivener

Year

2022

ISBN

9781119793120

Edition

Topic

Computer Science

Subtopic

Artificial Intelligence (AI) & Semantics

Index

Computer Science

Cover
Table of Contents
Title Page
Copyright
Preface
1 G-IoT and ML for Smart Computing
2 Machine Learning–Enabled Techniques for Reducing Energy Consumption of IoT Devices
3 Energy-Efficient Routing Infrastructure for Green IoT Network
4 Green IoT Towards Environmentally Friendly, Sustainable and Revolutionized Farming
5 CIoT: Internet of Green Things for Enhancement of Crop Data Using Analytics and Machine Learning
6 Smart Farming Through Deep Learning
7 Green IoT and Machine Learning for Agricultural Applications
8 IoT-Enabled AI-Based Model to Assess Land Suitability for Crop Production
9 Green Internet of Things (GIoT): Agriculture and Healthcare Application System (GIoT-AHAS)
10 Green IoT for Smart Transportation: Challenges, Issues, and Case Study
11 Green Internet of Things (IoT) and Machine Learning (ML): The Combinatory Approach and Synthesis in the Banking Industry
12 Green Internet of Things (G-IoT) Technologies, Application, and Future Challenges
Index
End User License Agreement