Covers tools, techniques, and trends in hybrid optical wireless networks and sensor technologies. Addresses recent trends and opportunities in wireless networks. Topics include deep learning in mobile device sensors, optimized wireless propagation models, underwater communication via hybrid optical wireless networks and more.
The incredible growth of hybrid wireless networks and sensor-based communication technologies has led to research in both academia and industry for intelligent, efficient, and robust technologies to satisfy the requirements of future users. This new book covers the tools, techniques, and trends in hybrid optical wireless networks and sensor technologies that can be applied in various domains.
Addressing recent trends and opportunities in wireless networks, the book covers the categorization of various hybrid optical wireless networks and sensor networks, algorithm optimization for intelligent wireless and mobile networks, optic-based wireless networks, bio-inspired algorithms and methods for wireless networks and sensor networks and more. The diverse topics include deep learning in mobile device sensors, optimized wireless propagation models, underwater communication through hybrid optical wireless networks, sensor technology for advanced agriculture, sensors as attack and defense mechanisms for vehicles, wireless underground sensor networks for smart cities, IoT-based biosensors in smart healthcare applications, and more.
1. Study of Finite-Time Synchronization Between Different Neural
Networks
2. Optoelectronic Biosensor
3. Nature-Inspired-Based Clustering
Techniques on Wireless Sensor Networks
4. Bio-Inspired Algorithms and Methods
for Wireless Networks and Sensor Networks
5. Deep Learning in Mobile Device
Sensors
6. Optimized Wireless Propagation Models
7. Underwater Communication
Through Hybrid Optical Wireless Networks
8. Network Security Using Enhanced
Vigenere Cipher
9. Attack and Defense Mechanisms for Vehicle to Everything
(V2X) Networks
10. IoT for Advanced Agriculture
11. Latest Trends in
Artificial Intelligence of Things (AIoT) and Its Applications in Smart Cities
12. Review of IoT-Based Wireless Underground Sensor Networks for Smart Cities
13. A Role of IoT-Based Biosensors in Smart Healthcare Applications
Prateek Gupta, PhD, is an Associate Professor of Computer Science Engineering and Technology at Bennett University, India. He was formerly Assistant Professor with the University of Petroleum and Energy Studies, India. His research interests include optimization algorithms, wireless communications, and sensor networks.
Bhavana Kaushik, PhD, is an Assistant Professor of Computer Science at the University of Petroleum and Energy Studies, India. Her research areas include image processing, computer vision, artificial intelligence, and womens empowerment. She has worked on grassroot-level projects in the area of rural women empowerment. She has also acquired valuable design registrations, published research articles, and handled funded projects.
Kiran Ahuja, PhD, is an Assistant Professor of Electronics and Communication Engineering at DAV Institute of Engineering and Technology, India.
Indu Bala, PhD, is a Professor of Electrical and Electronics Engineering at Lovely Professional University, Phagwara, Punjab, India. She has published book chapters and many papers in various national/international conferences and journals. She has recently edited a book on IoT and served as a guest editor for special thematic issues.