Intelligent Wireless Sensor Networks and the Internet of Things

Algorithms, Methodologies, and Applications

Bhanu Chander, Anoop Benet Nirmala, Koppala Guravaiah, G. Kumaravelan

• Publisher: CRC Press
• Year: 2024
• Print ISBN: 9781032459516
• eBook ISBN: 9781040027172
• Topic: Technology & Engineering
• Subtopic: Electrical Engineering & Telecommunications
• Index: Technology & Engineering

The edited book Intelligent Wireless Sensor Networks and Internet of Things: Algorithms, Methodologies and Applications is intended to discuss the progression of recent as well as future generation technologies for WSNs and IoTs applications through Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL). In general, computing time is obviously increased when the massive data is required from sensor nodes in WSN's. the novel technologies such as 5G and 6G provides enough bandwidth for large data transmissions, however, unbalanced links faces the novel constraints on the geographical topology of the sensor networks. Above and beyond, data transmission congestion and data queue still happen in the WSNs.

This book:

• Addresses the complete functional framework workflow in WSN and IoT domains using AI, ML, and DL models
• Explores basic and high-level concepts of WSN security, and routing protocols, thus serving as a manual for those in the research field as the beginners to understand both basic and advanced aspects sensors, IoT with ML & DL applications in real-world related technology
• Based on the latest technologies such as 5G, 6G and covering the major challenges, issues, and advances of protocols, and applications in wireless system
• Explores intelligent route discovering, identification of research problems and its implications to the real world
• Explains concepts of IoT communication protocols, intelligent sensors, statistics and exploratory data analytics, computational intelligence, machine learning, and Deep learning algorithms for betterment of the smarter humanity
• Explores intelligent data processing, deep learning frameworks, and multi-agent systems in IoT-enabled WSN system
• This book demonstrates and discovers the objectives, goals, challenges, and related solutions in advanced AI, ML, and DL approaches

This book is for graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.

Table of contents

• Cover Page
• Half Title page
• Series Page
• Title Page
• Copyright Page
• Contents
• Preface
• About the editors
• List of contributors
• Key features
• About the book
• Chapter 1 Energy-efficient WSN with deep learning using dispersed data mining strategy-based LSTM
• Chapter 2 Learning-based intelligent energy efficient routing protocols in WSN
• Chapter 3 Optimizing secure routing for mobile ad-hoc and WSN in IoT through dynamic adaption and energy efficiency
• Chapter 4 Energy efficient in-network data aggregation in Internet-of-Things
• Chapter 5 Future 6G approaches: Integrating intelligent security, sensing, and communication into a green network’s architecture
• Chapter 6 Energy efficient wireless sensors architecture with LSTM based on Machine Learning Technique
• Chapter 7 Healthcare 4.0: Blockchain technology application in healthcare ecosystem
• Chapter 8 Inventory tracking via IoT in the pharmaceutical industry
• Chapter 9 Decentralized file sharing system based on IPFS and blockchain
• Chapter 10 FAWT–based advanced multiboost learning algorithm for driver fatigue detection using brain EEG signals
• Chapter 11 Feature fusion-based learning algorithm using multi-domain signal features for wearable healthcare devices
• Chapter 12 The intelligence of WSNs
• Chapter 13 Applications of wireless sensor networks in IoT
• Chapter 14 Security considerations in IoT using machine learning and deep learning
• Chapter 15 Blockchain-energized smart healthcare monitoring system
• Index