WSN and IoT

Auteur

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.

Texte du rabat

WSN and IoT: An Integrated Approach for Smart Applications discusses the integration of IoT and WSN which enables an efficient communication flow between sensor nodes and wireless terminals and covers the role of ML, AI, deep learning, and blockchain technologies which gives way to intelligent networks.

Contenu

1. Introduction to IoT and WSN 2. Role of Sustainable IoT in Present Day Life 3. Designing an Integrated IoT-WSN Framework for Smart City Applications 4. Principles of Artificial Intelligence in Internet of Things 5. Blockchain-Based Communication Framework for Smart Vehicles 6. A Sustainable IoT-Based Smart Transportation System for Urban Mobility 7. Optimizing Content Delivery in ICN-Based VANETs Using Machine Learning Techniques 8. the Role of IoMT Technologies in Revolutionizing Healthcare: A Comprehensive Overview 9. Deep Learning and Its Applications in Healthcare 10. An Explainable Deep Learning Model for Clinical Decision Support in Healthcare 11. Deep Learning Models for Automated Diagnosis of Brain Tumor Disorder in Smart Healthcare 12. 6G and Distributed Computing for IoT: A Survey 13. Designing a Decentralized IoT-WSN Architecture Using Blockchain Technology 14. Privacy-Preserving Machine Learning on Non-Co-Located Data Sets Using Federated Learning: Challenges and Opportunities 15. Deep Learning Method for Hyperspectral Image Classification 16. Towards Smarter Industries: Security Framework Using Attribute-Based Encryption and Systematic Solutions