Machine Learning Approaches for Convergence of IoT and Blockchain

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The digital revolution is characterized by the convergence of technologies, rapidly advancing the 4th industrial revolution thereby blurring the lines between physical, digital and biological objects. The speed of the fourth revolution which evolves at an exponential rate cannot by any means be compared with any previous technologies. AI and IoT employ the interactions and operations in various fields such as home appliances, autonomous vehicles, nanotechnology, robotics, cognitive systems, self-driving cars and wearable devices. The potential of blockchain technology is realized in many sectors as security plays a crucial role everywhere.
This book deeply discusses two of the most critical emerging fields of machine learning: blockchain technology and the Internet of Things.

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9 Chapter 9Figure 9.1 Impact of IT on top urban populace.Figure 9.2 Smart cities overview.Figure 9.3 Traffic management.Figure 9.4 Smart parking.Figure 9.5 Smart policing.Figure 9.6 Shrewd lighting.Figure 9.7 Smart power.Figure 9.8 Google maps.Figure 9.9 Innovation in urban communities.Figure 9.10 Smart cities for all.Figure 9.11 Smart cities to prevent road accidents.Figure 9.12 Applications of IoT.

List of Tables

1 Chapter 3Table 3.1 Difference between public, private, and consortium blockchain.

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Scrivener Publishing100 Cummings Center, Suite 541J Beverly, MA 01915-6106

Publishers at Scrivener Martin Scrivener ( martin@scrivenerpublishing.com) Phillip Carmical ( pcarmical@scrivenerpublishing.com)

Machine Learning Approaches for Convergence of IoT and Blockchain

Edited by

Krishna Kant Singh

Faculty of Engineering & Technology, Jain (Deemed-to-be University), Bengaluru, India

Akansha Singh

Amity University Uttar Pradesh, Noida, India

and

Sanjay Sharma

KIET Group of Institutions, Delhi-NCR, Ghaziabad, India

This edition first published 2021 by John Wiley Sons Inc 111 River Street - фото 1

This edition first published 2021 by John Wiley & Sons, Inc., 111 River Street, Hoboken, NJ 07030, USA and Scrivener Publishing LLC, 100 Cummings Center, Suite 541J, Beverly, MA 01915, USA

© 2021 Scrivener Publishing LLC

For more information about Scrivener publications please visit www.scrivenerpublishing.com.

All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted, in any form or by any means, electronic, mechanical, photocopying, recording, or otherwise, except as permitted by law. Advice on how to obtain permission to reuse material from this title is available at http://www.wiley.com/go/permissions.

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While the publisher and authors have used their best efforts in preparing this work, they make no representations or warranties with respect to the accuracy or completeness of the contents of this work and specifically disclaim all warranties, including without limitation any implied warranties of merchant-ability or fitness for a particular purpose. No warranty may be created or extended by sales representatives, written sales materials, or promotional statements for this work. The fact that an organization, website, or product is referred to in this work as a citation and/or potential source of further information does not mean that the publisher and authors endorse the information or services the organization, website, or product may provide or recommendations it may make. This work is sold with the understanding that the publisher is not engaged in rendering professional services. The advice and strategies contained herein may not be suitable for your situation. You should consult with a specialist where appropriate. Neither the publisher nor authors shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages. Further, readers should be aware that websites listed in this work may have changed or disappeared between when this work was written and when it is read.

Library of Congress Cataloging-in-Publication Data

ISBN 978-1-119-76174-7

Cover image: Pixabay.Com

Cover design Russell Richardson

Set in size of 11pt and Minion Pro by Manila Typesetting Company, Makati, Philippines Printed in the USA

10 9 8 7 6 5 4 3 2 1

Preface

Blockchain technology and the Internet of Things (IoT) are two of the most impactful trends to have emerged in the field of machine learning. And although there are a number of books available solely on the subjects of machine learning, IoT and blockchain technology, no such book has been available which focuses on machine learning techniques for IoT and blockchain convergence until now. Thus, this book is unique in terms of the topics it covers. Designed as an essential guide for all academicians, researchers and those in industry who are working in related fields, this book will provide insights into the convergence of blockchain technology and the IoT with machine learning.

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