1st Edition

WSN and IoT An Integrated Approach for Smart Applications

Edited By Shalli Rani, Ashu Taneja Copyright 2024
    406 Pages 166 B/W Illustrations
    by CRC Press

    Nowadays, all of us are connected through a large number of sensor nodes, smart devices, and wireless terminals. For these Internet of Things (IoT) devices to operate seamlessly, the Wireless Sensor Network (WSN) needs to be robust to support huge volumes of data for information exchange, resource optimization, and energy efficiency. This book provides in-depth information about the emerging paradigms of IoT and WSN in new communication scenarios for energy-efficient and reliable information exchange between a large number of sensor nodes and applications.

    WSN and IoT: An Integrated Approach for Smart Applications discusses how the integration of IoT and WSN enables an efficient communication flow between sensor nodes and wireless terminals and covers the role of machine learning (ML), artificial intelligence (AI), deep learning (DL), and blockchain technologies which give way to intelligent networks. This book presents how technological advancement is beneficial for real-time applications involving a massive number of devices and discusses how the network carries huge amounts of data allowing information to be communicated over the Internet. Intelligent transportation involving connected vehicles and roadside units is highlighted to show how a reality created through the intelligent integration of IoT and WSN is possible. Convergence is discussed and its use in smart healthcare, where only through the intelligent connection of devices can patients be treated or monitored remotely for telemedicine or telesurgery applications. This book also looks at how sustainable development is achieved by the resource control mechanism enabling energy-efficient communication.

    A wide range of communication paradigms related to smart cities, which includes smart healthcare, smart transportation, smart homes, and intelligent data processing, are covered in the book. It is aimed at academicians, researchers, advanced-level students, and engineers who are interested in the advancements of IoT and WSN for various applications in smart cities.

    Chapter 1 Introduction to IoT and WSN

    Jyoti Maini and Shalli Rani

    Chapter 2 The Role of Sustainable IoT in Present-Day Life

    Parul Saini, Lipika Gupta, Shivani Malhotra, and Imali Dias

    Chapter 3 Designing an Integrated IoT-WSN Framework for Smart City Applications

    Sanjivani Hemant Kulkarni, Namrata Gawande, Ashwin S. Chatpalliwar, Namita Parati, Kishor S. Wagh, Deepak T. Mane, and Basant Tiwari

    Chapter 4 Principles of Artificial Intelligence in the Internet of Things

    Ankita Sharma and Shalli Rani

    Chapter 5 Blockchain-Based Communication Frameworks for Smart Vehicles

    Rakhi Mutha, Neeraj, and Ashu Taneja

    Chapter 6 A Sustainable IoT-Based Smart Transportation System for Urban Mobility

    Mahendra Balkrishna Salunke, Shailesh V. Kulkarni, Shraddha Ovale, Bhushan M. Manjre, Suresh Limkar, Farhadeeba Shaikh, and Vyasa Sai

    Chapter 7 Optimizing Content Delivery in ICN-Based VANET Using Machine Learning Techniques

    Rais Allauddin Mulla, Mahendra Eknath Pawar, Anup Bhange, Krishan Kumar Goyal, Sashikanta Prusty, Samir N. Ajani, and Ali Kashif Bashir

    Chapter 8 The Role of IoMT Technologies in Revolutionizing Healthcare: A Comprehensive Overview

    Sushmita Sunil Jain, Saurabh Manoj Kothari, and Satyam Kumar Agrawal

    Chapter 9 Deep Learning and Its Applications in Healthcare..........................203

    Shubham Gupta, Pooja Sharma, and Thippa Reddy

    Chapter 10 An Explainable Deep Learning Model for Clinical Decision Support in Healthcare

    Shrinivas T. Shirkande, Sarika T. Deokate, Sulakshana Sagar Malwade, Raju M. Sairise,                     Ashwin S. Chatpalliwar, Rashmi Ashtagi, Vinit Khetani, and Syed Hassan Ahmed

    Chapter 11 Deep Learning Models for Automated Diagnosis of Brain Tumor Disorder in Smart Healthcare

    Kamini Lamba and Shalli Rani

    Chapter 12 6G and Distributed Computing for IoT: A Survey

    Abhishek Hazra, Mainak Adhikari, and Lalit Kumar Awasthi

    Chapter 13 Designing a Decentralized IoT-WSN Architecture Using Blockchain Technology

    Vaibhav V. Gijare, Satpalsing D. Rajput, Srinivas Ambala, Mrunal Swapnil Aware, Wankhede Vishal Ashok, Yatin Gandhi, and Imran Memon

    Chapter 14 Privacy-Preserving Machine Learning on Non-Co-Located Datasets Using Federated Learning: Challenges and Opportunities

    Jyoti L. Bangare, Nilesh P. Sable, Parikshit N. Mahalle, and Gitanjali Shinde

    Chapter 15 Deep Learning Method for Hyperspectral Image Classification

    Parul Bhanarkar and Salim Y. Amdani

    Chapter 16 Toward Smarter Industries: Security Framework Using Attribute-Based Encryption and Systematic Solutions

    Shruti and Shalli Rani

    Biography

    Dr. Shalli Rani is pursuing a postdoctoral from Manchester Metropolitan University, UK from July 2022. She is a Professor at Chitkara University Institute of Engineering and Technology, Chitkara University, Rajpura, Punjab, India. She has 18+ years of teaching experience. She received an MCA degree from Maharishi Dyanand University, Rohtak in 2004 and an M. Tech. degree in Computer Science from Janardan Rai Nagar Vidyapeeth University, Udaipur in 2007 and a Ph.D. in Computer Applications from Punjab Technical University, Jalandhar in 2017. Dr. Rani has published/accepted/presented more than 100+ papers in international journals /conferences (SCI+Scopus) and edited/authored five books with international publishers. She has worked on Big Data, Underwater Acoustic Sensors, and IoT to show the importance of WSN in IoT applications and has received a Young Scientist award in Feb. 2014 from the Punjab Science Congress, a Lifetime Achievement Award, and a Supervisor of the Year award from Global Innovation and Excellence, in 2021. Her main areas of interest and research are Wireless Sensor Networks, Underwater Sensor networks, Machine Learning, and the Internet of Things.

    Dr. Ashu Taneja is an associate professor at Chitkara University Research and Innovation Network (CURIN), Chitkara University, Punjab, India. She has a PhD in Electronics and Communication Engineering with an experience of 12 years serving industry, teaching, education and research. She received Masters of Engineering (M.E.) from Thapar University, Patiala, Punjab in 2011 and Bachelors of Technology (B.Tech) from Kurukshetra University, Haryana, in 2008. She has 50+ publications in international journals /conferences (SCI + SCOPUS). She has filed more than 20 patents. She has also served as reviewer in many repudiated journals of IEEE, Springer, Elsevier, IET, Hindawi and Wiley. Her research interests include Next Generation Wireless Networks, IoT, 5G, 6G, Energy Harvesting, User Selection, Antenna Selection, Intelligent Reflecting Surfaces, and Vehicular communication.