Artificial Intelligence Techniques In Iot Sensor Networks

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Artificial Intelligence Techniques in IoT Sensor Networks

Author : Mohamed Elhoseny
Publisher : CRC Press
ISBN 13 : 1000318702
Total Pages : 221 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Artificial Intelligence Techniques in IoT Sensor Networks by : Mohamed Elhoseny

Download or read book Artificial Intelligence Techniques in IoT Sensor Networks written by Mohamed Elhoseny and published by CRC Press. This book was released on 2020-12-18 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence Techniques in IoT Sensor Networks is a technical book which can be read by researchers, academicians, students and professionals interested in artificial intelligence (AI), sensor networks and Internet of Things (IoT). This book is intended to develop a shared understanding of applications of AI techniques in the present and near term. The book maps the technical impacts of AI technologies, applications and their implications on the design of solutions for sensor networks. This text introduces researchers and aspiring academicians to the latest developments and trends in AI applications for sensor networks in a clear and well-organized manner. It is mainly useful for research scholars in sensor networks and AI techniques. In addition, professionals and practitioners working on the design of real-time applications for sensor networks may benefit directly from this book. Moreover, graduate and master’s students of any departments related to AI, IoT and sensor networks can find this book fascinating for developing expert systems or real-time applications. This book is written in a simple and easy language, discussing the fundamentals, which relieves the requirement of having early backgrounds in the field. From this expectation and experience, many libraries will be interested in owning copies of this work.

Artificial Intelligence to Solve Pervasive Internet of Things Issues

Author : Gurjit Kaur
Publisher : Academic Press
ISBN 13 : 0128185767
Total Pages : 428 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Artificial Intelligence to Solve Pervasive Internet of Things Issues by : Gurjit Kaur

Download or read book Artificial Intelligence to Solve Pervasive Internet of Things Issues written by Gurjit Kaur and published by Academic Press. This book was released on 2020-12-07 with total page 428 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence to Solve Pervasive Internet of Things Issues discusses standards and technologies and wide-ranging technology areas and their applications and challenges, including discussions on architectures, frameworks, applications, best practices, methods and techniques required for integrating AI to resolve IoT issues. Chapters also provide step-by-step measures, practices and solutions to tackle vital decision-making and practical issues affecting IoT technology, including autonomous devices and computerized systems. Such issues range from adopting, mitigating, maintaining, modernizing and protecting AI and IoT infrastructure components such as scalability, sustainability, latency, system decentralization and maintainability. The book enables readers to explore, discover and implement new solutions for integrating AI to solve IoT issues. Resolving these issues will help readers address many real-world applications in areas such as scientific research, healthcare, defense, aeronautics, engineering, social media, and many others. Discusses intelligent techniques for the implementation of Artificial Intelligence in Internet of Things Prepared for researchers and specialists who are interested in the use and integration of IoT and Artificial Intelligence technologies

Smart Sensor Networks Using AI for Industry 4.0

Author : Soumya Ranjan Nayak
Publisher : CRC Press
ISBN 13 : 1000458776
Total Pages : 300 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Smart Sensor Networks Using AI for Industry 4.0 by : Soumya Ranjan Nayak

Download or read book Smart Sensor Networks Using AI for Industry 4.0 written by Soumya Ranjan Nayak and published by CRC Press. This book was released on 2021-10-11 with total page 300 pages. Available in PDF, EPUB and Kindle. Book excerpt: Smart Sensor Networks (WSNs) using AI have left a mark on the lives of all by aiding in various sectors, such as manufacturing, education, healthcare, and monitoring of the environment and industries. This book covers recent AI applications and explores aspects of modern sensor technologies and the systems needed to operate them. The book reviews the fundamental concepts of gathering, processing, and analyzing different AI-based models and methods. It covers recent WSN techniques for the purpose of effective network management on par with the standards laid out by international organizations in related fields and focuses on both core concepts along with major applicational areas. The book will be used by technical developers, academicians, data sciences, industrial professionals, researchers, and students interested in the latest innovations on problem-oriented processing techniques in sensor networks using IoT and evolutionary computer applications for Industry 4.0.

Artificial Intelligence in IoT

Author : Fadi Al-Turjman
Publisher : Springer
ISBN 13 : 3030041107
Total Pages : 231 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Artificial Intelligence in IoT by : Fadi Al-Turjman

Download or read book Artificial Intelligence in IoT written by Fadi Al-Turjman and published by Springer. This book was released on 2019-02-12 with total page 231 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an insight into IoT intelligence in terms of applications and algorithmic challenges. The book is dedicated to addressing the major challenges in realizing the artificial intelligence in IoT-based applications including challenges that vary from cost and energy efficiency to availability to service quality in multidisciplinary fashion. The aim of this book is hence to focus on both the algorithmic and practical parts of the artificial intelligence approaches in IoT applications that are enabled and supported by wireless sensor networks and cellular networks. Targeted readers are from varying disciplines who are interested in implementing the smart planet/environments vision via intelligent wireless/wired enabling technologies. Includes the most up-to-date research and applications related to IoT artificial intelligence (AI); Provides new and innovative operational ideas regarding the IoT artificial intelligence that help advance the telecommunications industry; Presents AI challenges facing the IoT scientists and provides potential ways to solve them in critical daily life issues.

Recent Trends and Advances in Artificial Intelligence and Internet of Things

Author : Valentina E. Balas
Publisher : Springer Nature
ISBN 13 : 3030326446
Total Pages : 618 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Recent Trends and Advances in Artificial Intelligence and Internet of Things by : Valentina E. Balas

Download or read book Recent Trends and Advances in Artificial Intelligence and Internet of Things written by Valentina E. Balas and published by Springer Nature. This book was released on 2019-11-19 with total page 618 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers all the emerging trends in artificial intelligence (AI) and the Internet of Things (IoT). The Internet of Things is a term that has been introduced in recent years to define devices that are able to connect and transfer data to other devices via the Internet. While IoT and sensors have the ability to harness large volumes of data, AI can learn patterns in the data and quickly extract insights in order to automate tasks for a variety of business benefits. Machine learning, an AI technology, brings the ability to automatically identify patterns and detect anomalies in the data that smart sensors and devices generate, and it can have significant advantages over traditional business intelligence tools for analyzing IoT data, including being able to make operational predictions up to 20 times earlier and with greater accuracy than threshold-based monitoring systems. Further, other AI technologies, such as speech recognition and computer vision can help extract insights from data that used to require human review. The powerful combination of AI and IoT technology is helping to avoid unplanned downtime, increase operating efficiency, enable new products and services, and enhance risk management.

Artificial Intelligence for Internet of Things

Author : N. Thillaiarasu
Publisher : CRC Press
ISBN 13 : 100077905X
Total Pages : 358 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Artificial Intelligence for Internet of Things by : N. Thillaiarasu

Download or read book Artificial Intelligence for Internet of Things written by N. Thillaiarasu and published by CRC Press. This book was released on 2022-12-26 with total page 358 pages. Available in PDF, EPUB and Kindle. Book excerpt: The text comprehensively discusses the essentials of the Internet of Things (IoT), machine learning algorithms, industrial and medical IoT, robotics, data analytics tools, and technologies for smart cities. It further covers fundamental concepts, advanced tools, and techniques, along with the concept of energy-efficient systems. It also highlights software and hardware interfacing into the IoT platforms and systems for better understanding. It will serve as an ideal reference text for senior undergraduate, graduate students, and academic researchers in the fields of electrical engineering, electronics and communication engineering, and computer engineering. Features: Covers cognitive Internet of Things and emerging network, IoT in robotics, smart cities, and health care Discusses major issues in the field of the IoTsuch as scalable and secure issues, energy-efficient, and actuator devices Highlights the importance of industrial and medical IoT Illustrates applications of the IoT in robotics, smart grid, and smart cities Presents real-time examples for better understanding The text comprehensively discusses design principles, modernization techniques, advanced developments in artificial intelligence.This will be helpful for senior undergraduates, graduate students, and academic researchers in diverse engineering fields including electrical, electronics and communication, and computer science.

Smart Sensor Networks

Author : Umang Singh
Publisher : Springer Nature
ISBN 13 : 3030772144
Total Pages : 233 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Smart Sensor Networks by : Umang Singh

Download or read book Smart Sensor Networks written by Umang Singh and published by Springer Nature. This book was released on 2021-09-01 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides IT professionals, educators, researchers, and students a compendium of knowledge on smart sensors and devices, types of sensors, data analysis and monitoring with the help of smart sensors, decision making, impact of machine learning algorithms, and artificial intelligence-related methodologies for data analysis and understanding of smart applications in networks. Smart sensor networks play an important role in the establishment of network devices which can easily interact with physical world through plethora of variety of sensors for collecting and monitoring the surrounding context and allowing environment information. Apart from military applications, smart sensor networks are used in many civilian applications nowadays and there is a need to manage high volume of demands in related applications. This book comprises of 9 chapters and presents a valuable insight on the original research and review articles on the latest achievements that contributes to the field of smart sensor networks and their usage in real-life applications like smart city, smart home, e-healthcare, smart social sensing networks, etc. Chapters illustrate technological advances and trends, examine research opportunities, highlight best practices and standards, and discuss applications and adoption. Some chapters also provide holistic and multiple perspectives while examining the impact of smart sensor networks and the role of data analytics, data sharing, and its control along with future prospects.

IoT and WSN based Smart Cities: A Machine Learning Perspective

Author : Shalli Rani
Publisher : Springer Nature
ISBN 13 : 3030841820
Total Pages : 288 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis IoT and WSN based Smart Cities: A Machine Learning Perspective by : Shalli Rani

Download or read book IoT and WSN based Smart Cities: A Machine Learning Perspective written by Shalli Rani and published by Springer Nature. This book was released on 2022-05-30 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an investigative approach to how machine learning is helping to maintain and secure smart cities, including principal uses such as smart monitoring, privacy, reliability, and public protection. The authors cover important areas and issues around implementation roadblocks, ideas, and opportunities in smart city development. The authors also include new algorithms, architectures and platforms that can accelerate the growth of smart city concepts and applications. Moreover, this book provides details on specific applications and case studies related to smart city infrastructures, big data management, and prediction techniques using machine learning.

AIoT and Smart Sensing Technologies for Smart Devices

Author : Al-Turjman, Fadi
Publisher : IGI Global
ISBN 13 :
Total Pages : 266 pages
Book Rating : 4.3/5 (693 download)

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Book Synopsis AIoT and Smart Sensing Technologies for Smart Devices by : Al-Turjman, Fadi

Download or read book AIoT and Smart Sensing Technologies for Smart Devices written by Al-Turjman, Fadi and published by IGI Global. This book was released on 2024-02-07 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: The rapid advancement of IoT and smart technologies poses significant challenges for academic scholars, including meeting new requirements such as reliability, quality of service, and energy efficiency. AIoT and Smart Sensing Technologies for Smart Devices, edited by Fadi ALTURJMAN, offers an invaluable solution by serving as a knowledge hub that brings together diverse research and professional contributions. This comprehensive book enables scholars to delve into topics like IoT-oriented applications, sustainable development, machine learning, and wireless networks, providing the necessary insights to navigate the complexities of IoT and smart technologies. Targeted at experts, researchers, and students, this book equips readers with the understanding needed to tackle the challenges in this dynamic field. Covering areas such as IoT paradigms, network security, machine learning approaches, and wireless network protocols, it serves as a guide for unlocking the potential of AIoT. With this resource, scholars can stay informed, explore innovative approaches, and actively contribute to the advancement of AIoT and smart technologies, making it a compelling solution for those grappling with the complexities of this transformative field.

Green Internet of Things Sensor Networks

Author : Adamu Murtala Zungeru
Publisher : Springer Nature
ISBN 13 : 3030549836
Total Pages : 128 pages
Book Rating : 4.0/5 (35 download)

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Book Synopsis Green Internet of Things Sensor Networks by : Adamu Murtala Zungeru

Download or read book Green Internet of Things Sensor Networks written by Adamu Murtala Zungeru and published by Springer Nature. This book was released on 2020-10-14 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents methods for advancing green IoT sensor networks and IoT devices. Three main methods presented are: a standalone system to support IoT devices that is informed by the amount of energy the solar array system can produce; a model of securing a building's main power supply against unauthorized use; and security of the IoT devices and their networks. For each, the authors outline the methods, presents security and privacy issues, and their solutions. The work suggests a layered approach to expose security issues and challenges at each layer of the IoT architecture and proposes techniques used to mitigate these challenges. Finally, perspectives are drawn and discussed for future directions in securing IoT sensor networks, covering evolving areas such as artificial intelligence, blockchain technology, sensor Internet of People, context-aware sensing, cloud infrastructure, security and privacy, and the Internet of Everything.

AI Models for Blockchain-Based Intelligent Networks in IoT Systems

Author : Bharat Bhushan
Publisher : Springer Nature
ISBN 13 : 3031319524
Total Pages : 396 pages
Book Rating : 4.0/5 (313 download)

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Book Synopsis AI Models for Blockchain-Based Intelligent Networks in IoT Systems by : Bharat Bhushan

Download or read book AI Models for Blockchain-Based Intelligent Networks in IoT Systems written by Bharat Bhushan and published by Springer Nature. This book was released on 2023-06-08 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: The goal of this book is to explore various security paradigms such as Machine Learning, Big data, Cyber Physical Systems, and Blockchain to address both intelligence and reconfigurability in various IoT devices. The book further aims to address and analyze the state of the art of blockchain-based intelligent networks in IoT systems and related technologies including healthcare sector. AI can ease, optimize, and automate the blockchain-based decision-making process for better governance and higher performance in IoT systems. Considering the incredible progress made by AI models, a blockchain system powered by intelligent AI algorithms can detect the existence of any kind of attack and automatically invoke the required defense mechanisms. In case of unavoidable damage, AI models can help to isolate the compromised component from the blockchain platform and safeguard the overall system from crashing. Furthermore, AI models can also contribute toward the robustness and scalability of blockchain-based intelligent IoT networks. The book is designed to be the first-choice reference at university libraries, academic institutions, research and development centers, information technology centers, and any institutions interested in integration of AI and IoT. The intended audience of this book include UG/PG students, Ph.D. scholars of this fields, industry technologists, young entrepreneurs, professionals, network designers, data scientists, technology specialists, practitioners, and people who are interested in exploring the role of AI and blockchain technology in IoT systems.

Internet of Things and Sensor Network for COVID-19

Author : Siba Kumar Udgata
Publisher : Springer Nature
ISBN 13 : 9811576548
Total Pages : 101 pages
Book Rating : 4.8/5 (115 download)

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Book Synopsis Internet of Things and Sensor Network for COVID-19 by : Siba Kumar Udgata

Download or read book Internet of Things and Sensor Network for COVID-19 written by Siba Kumar Udgata and published by Springer Nature. This book was released on 2020-07-22 with total page 101 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines various models/solutions in areas, such as individuals, home, work and society, where IoT and AI are being utilized to mitigate the Covid-19 pandemic. The world is battling with the novel coronavirus, and government authorities, scientists, medical practitioners, and medical services are striving hard to help people to face the challenges. During this crisis, numerous innovative ideas and solutions have been proposed for using the Internet of things (IoT), sensor networks, and artificial intelligence (AI) to monitor the wellbeing of individuals. Nations are using all available assets to help develop cutting-edge innovations to relieve the impacts of Covid-19 and profile individuals in danger. The advances in IoT frameworks and sensor technologies together with AI are invaluable in the context of this pandemic, and nations and various entities around the globe are discovering innovative solutions to maintain businesses and help people live alongside Covid-19. This book presents the advances in sensor technologies, IoT frameworks, and explores how these technologies are being used to deal with the issues arising from Covid-19, including work in progress and potential applications.

Ambient Intelligence and Internet Of Things

Author : Md Rashid Mahmood
Publisher : John Wiley & Sons
ISBN 13 : 1119821819
Total Pages : 436 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Ambient Intelligence and Internet Of Things by : Md Rashid Mahmood

Download or read book Ambient Intelligence and Internet Of Things written by Md Rashid Mahmood and published by John Wiley & Sons. This book was released on 2022-11-23 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: AMBIENT INTELLIGENCE AND INTERNET OF THINGS The book explores long-term implementation techniques and research paths of ambient intelligence and the Internet of Things that meet the design and application requirements of a variety of modern and real-time applications. Working environments based on the emerging technologies of ambient intelligence (AmI) and the Internet of Things (IoT) are available for current and future use in the diverse field of applications. The AmI and IoT paradigms aim to help people achieve their daily goals by augmenting physical environments using networks of distributed devices, including sensors, actuators, and computational resources. Because AmI-IoT is the convergence of numerous technologies and associated research fields, it takes significant effort to integrate them to make our lives easier. It is asserted that Am I can successfully analyze the vast amounts of contextual data obtained from such embedded sensors by employing a variety of artificial intelligence (AI) techniques and that it will transparently and proactively change the environment to conform to the requirements of the user. Over time, the long-term research goals and implementation strategies could meet the design and application needs of a wide range of modern and real-time applications. The 13 chapters in Ambient Intelligence and Internet of Things: Convergent Technologies provide a comprehensive knowledge of the fundamental structure of innovative cutting-edge AmI and IoT technologies as well as practical applications. Audience The book will appeal to researchers, industry engineers, and students in artificial and ambient intelligence, the Internet of Things, intelligent systems, electronics and communication, electronics instrumentations, and computer science.

Advanced Techniques for IoT Applications

Author : Jyotsna Kumar Mandal
Publisher :
ISBN 13 : 9789811644368
Total Pages : 0 pages
Book Rating : 4.6/5 (443 download)

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Book Synopsis Advanced Techniques for IoT Applications by : Jyotsna Kumar Mandal

Download or read book Advanced Techniques for IoT Applications written by Jyotsna Kumar Mandal and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book includes original, unpublished contributions presented at the Sixth International Conference on Emerging Applications of Information Technology (EAIT 2020), held at the University of Kalyani, Kalyani, West Bengal, India, on November 2020. The book covers the topics such as image processing, computer vision, pattern recognition, machine learning, data mining, big data and analytics, information security and privacy, wireless and sensor networks, and IoT. It will also include IoT application-related papers in pattern recognition, artificial intelligence, expert systems, natural language understanding, image processing, computer vision, applications in biomedical engineering, artificial neural networks, fuzzy logic, evolutionary optimization, data mining, Web intelligence, intelligent agent technology, virtual reality, and visualization.

Wireless Communication with Artificial Intelligence

Author : Anuj Singal
Publisher : CRC Press
ISBN 13 : 1000645347
Total Pages : 343 pages
Book Rating : 4.0/5 (6 download)

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Book Synopsis Wireless Communication with Artificial Intelligence by : Anuj Singal

Download or read book Wireless Communication with Artificial Intelligence written by Anuj Singal and published by CRC Press. This book was released on 2022-09-16 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: This reference text discusses advances in wireless communication, design challenges, and future research directions to design reliable wireless communication. The text discusses emerging technologies including wireless sensor networks, Internet of Things (IoT), cloud computing, mm-Wave, Massive MIMO, cognitive radios (CR), visible light communication (VLC), wireless optical communication, signal processing, and channel modeling. The text covers artificial intelligence-based applications in wireless communication, machine learning techniques and challenges in wireless sensor networks, and deep learning for channel and bandwidth estimation during optical wireless communication. The text will be useful for senior undergraduate, graduate students, and professionals in the fields of electrical engineering, and electronics and communication engineering.

Swarm Intelligence for Resource Management in Internet of Things

Author : Aboul Ella Hassanien
Publisher : Academic Press
ISBN 13 : 0128182881
Total Pages : 192 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Swarm Intelligence for Resource Management in Internet of Things by : Aboul Ella Hassanien

Download or read book Swarm Intelligence for Resource Management in Internet of Things written by Aboul Ella Hassanien and published by Academic Press. This book was released on 2020-08-18 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Internet of Things (IoT) is a new platform of various physical objects or “things equipped with sensors, electronics, smart devices, software, and network connections. IoT represents a new revolution of the Internet network which is driven by the recent advances of technologies such as sensor networks (wearable and implantable), mobile devices, networking, and cloud computing technologies. IoT permits these the smart devices to collect, store and analyze the collected data with limited storage and processing capacities. Swarm Intelligence for Resource Management in the Internet of Things presents a new approach in Artificial Intelligence that can be used for resources management in IoT, which is considered a critical issue for this network. The authors demonstrate these resource management applications using swarm intelligence techniques. Currently, IoT can be used in many important applications which include healthcare, smart cities, smart homes, smart hospitals, environment monitoring, and video surveillance. IoT devices cannot perform complex on-site data processing due to their limited battery and processing. However, the major processing unit of an application can be transmitted to other nodes, which are more powerful in terms of storage and processing. By applying swarm intelligence algorithms for IoT devices, we can provide major advantages for energy saving in IoT devices. Swarm Intelligence for Resource Management in the Internet of Things shows the reader how to overcome the problems and challenges of creating and implementing swarm intelligence algorithms for each application Examines the development and application of swarm intelligence systems in artificial intelligence as applied to the Internet of Things Discusses intelligent techniques for the implementation of swarm intelligence in IoT Prepared for researchers and specialists who are interested in the use and integration of IoT and cloud computing technologies

The Today and Future of WSN, AI, and IoT

Author : Chandrakant Naikodi
Publisher : BPB Publications
ISBN 13 : 9389845165
Total Pages : 320 pages
Book Rating : 4.3/5 (898 download)

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Book Synopsis The Today and Future of WSN, AI, and IoT by : Chandrakant Naikodi

Download or read book The Today and Future of WSN, AI, and IoT written by Chandrakant Naikodi and published by BPB Publications. This book was released on 2020-06-10 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Doors are never locked for smart software and smart devices that are trained by smart people KEY FEATURESÊÊ - A book for everyone interested to know more about WSN, AI, and IoT - Discover various Open source tools & techniques for research and development in these felidsÊÊ - An easy-to-understand guide that will help you get familiar with the upcoming developments in WSN, AI, and IoT DESCRIPTIONÊÊ Almost every industry is looking for solutions for the best performance in the work that they produce. Researchers and developers are developing promising solutions that address the industrial problems to increase the effectiveness and efficiency of either the product or the service. This paradigm has changed the way many solutions and services are designed. Wireless Sensor Networks (WSN) are the backbone implementation for the Internet of Things (IoT) to be realized. For the IoT to produce efficient results, Artificial Intelligence (AI) becomes the key assistance; however, it needs careful modeling.Ê The content for the book is planned and prepared in such a way that you will be able to understand the concept and can interpret it for their use. The concepts, technologies, processes that are discussed in the book are contemporary and futuristic. Every chapter is well planned to be a subsequent chapter for the previous. In the Summary section of each chapter, there are a few review questions and a case for research.Ê WHAT WILL YOU LEARN - Learn about the most popular AI & IoT research topics - Discover a few WSN, IoT and AI Simulators - Get to know more about the fusion of Blockchain and IoT technologies - Know more about the AI and IoT predictions in the global scenarioÊ - Become aware of the various multi-disciplinary research based on WSN, AI, and IoT WHO THIS BOOK IS FORÊÊ By nature, every human is anxious to learn and would be benefited when they find the right direction. This book is truly intended for all students, teachers, product designers, opensource developers. However, it does not limit them alone. Those who have stepped into research, afresh, will find this book a more exciting one. TABLE OF CONTENTS 1. Introduction 2. WSN, AI, and IoT: Future Shock 3. Active Research Areas of WSN, AI, and IoT 4. Simulators of WSN, AI, and IoT 5. Blockchain for WSN, AI, and IoT 6. What is Next? 7. State of AI and IoT by 2050