Table Of Content

Advances in SIoT (Social Internet of Things) The Social Internet of Things (SIoT) has become a hot topic in academic research. It employs the theory of social networks into the different levels of the Internet of Things (IoTs) and has brought new possibilities for the development of IoTs. Essentially, the SIoT is a subset of IoTs. It uses intelligent hardware and humans as the node, a social network as the organization type, the social relationship between things, things and humans, and between humans, formatting research methods and models with social network characteristics to realize the connection, service, and application of the IoTs. Moreover, SIoT is a form of realization of technology, architecture, and application of the IoTs using social network research methods. It further promotes the integration between real-world and virtual cyberspace, contributes the realization of the IoTs, expands the research scope of the social networking, and provides a new solution for the specific problems of the IoTs. Consequently, there is a tremendous need for researchers to have a comprehensive knowledge of the advances in SIoT. This special issue is soliciting scientific research papers that can present a snapshot of the latest research status of SIoT. Innovations in Intelligent Internet of Everything (IoE) Series Editor: Fadi Al-Turjman, Near East University, Nicosia, Cyprus Computational Intelligence in Healthcare: Applications, Challenges, and Management Meenu Gupta, Shakeel Ahmed, Rakesh Kumar, and Chadi Altrjman Advances in SIoT (Social Internet of Things) Gururaj H L, Pramod H B, and Gowtham M For more information about this series, please visit: https://www.routledge.com/ Innovations-in-Intelligent-Internet-of-Everything-IoE/book-series/IOE Advances in SIoT (Social Internet of Things) Edited by Gururaj H L Pramod H B Gowtham M First edition published 2023 by CRC Press 6000 Broken Sound Parkway NW, Suite 300, Boca Raton, FL 33487-2742 and by CRC Press 4 Park Square, Milton Park, Abingdon, Oxon, OX14 4RN CRC Press is an imprint of Taylor & Francis Group, LLC © 2023 selection and editorial matter, Gururaj H L, Pramod H B, and Gowtham M; individual chapters, the contributors Reasonable efforts have been made to publish reliable data and information, but the author and publisher cannot assume responsibility for the validity of all materials or the consequences of their use. The authors and publishers have attempted to trace the copyright holders of all material reproduced in this publication and apologize to copyright holders if permission to publish in this form has not been obtained. If any copyright material has not been acknowledged please write and let us know so we may rectify in any future reprint. Except as permitted under U.S. Copyright Law, no part of this book may be reprinted, reproduced, transmitted, or utilized in any form by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying, microfilming, and recording, or in any information storage or retrieval system, without written permission from the publishers. For permission to photocopy or use material electronically from this work, access www. copyright.com or contact the Copyright Clearance Center, Inc. (CCC), 222 Rosewood Drive, Danvers, MA 01923, 978-750-8400. For works that are not available on CCC please contact [email protected] Trademark notice: Product or corporate names may be trademarks or registered trademarks and are used only for identification and explanation without intent to infringe. ISBN: 978-1-032-25404-3 (hbk) ISBN: 978-1-032-25405-0 (pbk) ISBN: 978-1-003-28299-0 (ebk) DOI: 10.1201/9781003282990 Typeset in Times by MPS Limited, Dehradun Contents Preface vii Acknowledgements ix Editors xi Contributors xiii 1 Internet of Lights: A Way to Energy-Efficient Lighting Systems 1 Sharon Christa, Asha S Manek, and Nayan Kanti Majumdar 2 A Prototype of a Smart Phone-Controlled Lawn Mower Using Android App 19 Rajeshwari D and T Ananthapadmanabha 3 Intelligent Optimized Delay Algorithm for Improved Quality of Service in Healthcare Social Internet of Things 39 Anija Starry B and Nismon Rio R 4 Trust Management: Architecture, Components with Emerging Domains in SIoT 55 Deepak P, Ajay A V, Raghavendra K, and Puneeth S P 5 Security Threats in SIoT 75 Ajay A V and Pramod H B 6 Challenges and Solutions of Using Social Internet of Things (SIoT) in Healthcare and Medical Domains 91 Arulkumar N 7 Social Aspects of D2D Communications in IoT for 5G and beyond Cellular Networks 111 Pradip Kumar Barik, Putul Gorai, and Raja Datta 8 Real-Time Face Mask Detection and Alert System Using IoT and Machine Learning 137 Manu Y M, Mohan Kumar K S, and Prasanna Kumar M J v vi Contents 9 Social Content Distribution Architecture of SIoT: Applications, Challenges, Security, and Privacy Paradigm 161 Venkadeshan Ramalingam and Senthil Ramadoss 10 Efficient and Secured IoT-Based Agriculture Wireless Sensor Network Using Swarm Optimization 179 Venkatesh Shankar and Shrinivas A Sirdeshpande 11 Review on Autonomous Vehicle and Virtual Controlled Delivery Truck System Using IoT 199 Gowtham M, Ajay A V, and Srinidhi H R 12 IoT-Enabled Smart Parking to Reduce Vehicle Flooding 221 Anusha K S, Andra Pujitha, Megha Annappa Naik, Nishkala I N, and Parivarthana S R 13 IoT Device Discovery Technique Based on Semantic Ontology 237 Raghu Nandan R and Nalini N 14 Women Safety and Monitoring System Using Geo-Fence 253 N Rajkumar, C Viji, R Jayavadivel, B Prabhu Shankar, E Vetrimani, and J Mary Stella 15 Machine-Learning Approach to Predict Air Quality – A Survey 273 Nimesh Mohanakrishnan, Tejaswini P R, Nashra Tanseer, Mohammed Saqlain, and Mohammed Hussam Khatib 16 Air Canvas – Air-Writing Recognition Model for Environmental and Socioeconomic Issues 289 Meghana R, Pallavi K J, Aditi S, and Asha S Manek Index 307 Preface This book is a descriptive summary of challenges and methods using Social IoT with various case studies from diverse authors across the globe. The authors of Chapters 1 and 2 present the game-changer technology and smartphone android application. In Chapter 3, recent advancements in networking, intelligent network management, battery management, remote sensing, sensors, and other related technologies convinced users and designers to adopt IoT; large-scale applications are explained. Trust management, architecture, and components with emerging domains in SIOT are elaborated on in Chapter 4. The main aim behind SIoT is to allow things to build social relationships on their own that could make network navigation and information and service discovery easier. Chapters 5 and 6 use the expansion of the Internet of Things (IoT) that meets with person-to-person communication ideas to make informal organizations of interconnected smart objects. In Chapter 7, the next-generation cellular networks need to be designed to explore the benefits of device-to-device (D2D) communications with reference to the social and industrial IoT. As the requirements of high-speed data communications are increasing at a rapid speed, current technologies are focusing on short-range communications for better energy and spectral efficiency. Chapter 8 delivers a case study. The COVID-19 pandemic is causing a worldwide prosperity crisis, so the hit-affirmation procedure is to wear a facial covering in open regions, as demonstrated through the field wellness endeavor (WHO). Chapter 9 fine points the smart environment for SIoT security architecture, the framework designed to function easily with a variety of IoT applications, the aids in the separation of security and practical privacy disputes, and talk over how to isolate modules that offer functionality for each layer (for example, internet, interface, and IoT device). Chapters 10 and 11 deliberate the efficient data transmissions is calculated using signal-to-noise ratio. Furthermore, at the time of data communication, security is provided with the help of an encryption technique. Two important case studies use IoT- enabled smart parking to reduce vehicle flooding, as depicted in Chapter 12. The proposed parking system provides real-time slot information and also helps in booking the slot in advance, thus saving the drivers’ time and also helps in decreasing traffic congestion. Another case study IoT device discovery technique based on semantic ontology is exemplified in Chapter 13. In this proposed system, NLP is used to annotate the vendor specification of the devices. The annotated documents serve as the semantically enabled documents and help in the retrieval of the appropriate devices for the user request in identifying the resources of their interest. In Chapter 14, a proposed work is being carried out to provide technology-based protection for women who will facilitate adult special care. Chapter 15 discusses several algorithms for machine learning that are used for predicting air quality. vii viii Preface In Chapter 16, a model has been proposed to capture the movement of the green- tipped pen as a video using OpenCV, detect it in each frame, track its movement, identify the characters being drawn and display the same as the output on the screen. In Chapter 17, the performance of various machine-learning algorithms and tools, such as decision tree (DT), Naive Bayes (NB), K-Nearest neighbors (KNN), artificial neural network (ANN), etc., in discovering the vulnerabilities and threats in SIoT are discussed here. Gururaj H L Pramod H B Gowtham M Acknowledgements We would like to thank all of the contributors to this book and all the people involved in the organization of this book. ix