Intelligent Wireless Sensor Networks and the Internet of Things by Chander, Bhanu; Nirmala, Anoop Benet; Guravaiah, Koppala;

Rövid leírás:

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).

Hosszú leírás:

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.

Tartalomjegyzék:

1. Energy Efficient WSN With Deep Learning Using Dispersed Data Mining Strategy Based LSTM. 2. Learning-based Intelligent Energy Efficient Routing Protocols in WSN for Industry 5.0. 3. Optimizing Secure Routing For Mobile Ad-Hoc and WSN In IoT Through Dynamic Adaption And Energy Efficiency. 4. Energy Efficient In-Network Data Aggregation in Internet-of-Things. 5. Future 6g Approaches: Integrating Intelligent Security, Sensing, And Communication Into A Green Network's Architecture. 6. Energy Efficient Wireless Sensors Architecture With LSTM Based On Machine Learning Technique. 7. Healthcare 4.0: Blockchain Technology Application in Healthcare Ecosystem. 8. Inventory Tracking Via IoT in the Pharmaceutical Industry. 9. A Decentralized File Sharing System Based On IPFS And Blockchain. 10. FAWT Based Advanced Multiboost Learning Algorithm For Driver Fatigue Detection Using Brain EEG Signals. 11. Feature Fusion based learning algorithm using Multi-Domain Signal Features For Wearable Healthcare Devices. 12. The Intelligent of WSNs. 13. Applications of Wireless Sensor Networks in IoT. 14. Security considerations in IoT using Machine Learning and Deep Learning. 15. Block chain-Energized Smart Healthcare Monitoring System