1st Edition

Computational Intelligence in Wired and Wireless Networks

Edited By Ankit Gambhir, Neha Jain, Gaurav Aggarwal Copyright 2027
248 Pages 59 B/W Illustrations
by CRC Press

The text examines how computational intelligence can address the complex challenges and opportunities that arise in both wired and wireless networks. It discusses topics including fault tolerance and self-healing mechanisms, edge and fog computing, machine learning in wireless networks, quality of experience, and integration of emerging technologies. This book: Introduces theoretical... Read more

1. Computational Intelligence in Wired and Wireless Networks: Enhancing MQTT Scalability in IoT-Based e-Healthcare Systems

Akshatha P. S., Swathika R., Sheela S., S. M. Dilip Kumar, Sonia D'Souza, and Ramesh Prasad

 

2. Cutting-edge Computational Intelligence Techniques in Security and Anomaly Detection

Manju and Gamini Joshi

 

3. Computer Simulated Behaviour to Improve Real-Time Quality of Experience (QoE)

Gunjan Sethi, Manu Tiwari, Shivam Gupta, Madhumita Mahapatra, and Upasna Joshi

 

4. Augmenting Edge Intelligence Networks with MADRL: Versatile solution to Load Balancing and Resource Optimization

Sarah Angeline, P. R. Anisha, and P. Veena Kumari

 

5. Design, Management and Optimization of Networks Using Machine Learning, Deep Learning and Reinforcement Learning

K. S. N. V. Prasad, Bijoy Kumar Purohit, Bhaskar Bethi, and A. V. Raghavendra Rao

 

6. Reinforcement Learning Based Optimized Search for Extraterrestrial Intelligence (SETI)

Vanitha N., N. Kumaresh, Sudha R., and Banupriya R.

 

7. Bringing IoT and Healthcare in Networks: Internet of Medical Things (IoMT)

Gunjan Mittal Roy, Sambhavi Shukla, and Manoj Kumar

 

8. Design and Management of Adaptive Treatment Strategies in Healthcare using Reinforcement Learning

E. Chandra Blessie, V. Radhamani, and K. Anandan

 

9. Real-time Dehazing Technique using Improved Dark Channel Prior and Gaussian Pyramid Operator

Ritika Bhardwaj, Meghna Sharma, Anuradha Dhull, and Gaurav Aggarwal

 

10. Computational Intelligence to Enhance Real-Time Quality Global Health Security

Reeta Mishra, Lalit Kumar, Deependra Rastogi, Daksha Borda, and Ankit Gambhir

Biography

Ankit Gambhir is serving as Dean (Academics) at Trinity Institute of Innovation in Professional Studies, Greater Noida, affiliated with Guru Gobind Singh Indraprastha University (GGSIPU), New Delhi, India. He holds a Ph.D. from GGSIPU, New Delhi, and an M.Tech. (Gold Medalist) in Communication Engineering along with a B.Tech. in Electronics and Communication Engineering. His research interests include optimization and computational intelligence techniques applied to wireless sensor networks, information security, and nature-inspired optimization algorithms. Dr. Gambhir has published several research papers in international journals indexed in Web of Science and Scopus and has presented his work at national and international conferences.

Neha Jain is an Associate Professor at IILM University, Greater Noida, India. She holds a Ph.D. from Guru Gobind Singh Indraprastha University, New Delhi, an M.Tech. degree from Indira Gandhi Institute of Technology, Delhi, and a B.Tech. degree from the University of Rajasthan. With more than fourteen years of teaching experience, her research interests include computer networks, wireless sensor networks, cloud computing, artificial intelligence, and the Internet of Things. She has published patents and research articles in SCI-indexed journals and has contributed to national and international conferences as an author, reviewer, and session chair. Dr. Jain has also served as an editor for journals and conference proceedings and is actively involved in academic capacity-building initiatives, including faculty development programmes and workshops. She is a Mentor of Change with the Atal Innovation Mission (AIM), NITI Aayog, Government of India.

Gaurav Aggarwal is an Assistant Professor in the Department of Information Technology and Engineering at Amity University, Tashkent, Uzbekistan. He received his B.Tech. degree in Instrumentation from Kurukshetra University, India, in 2006, followed by an M.Tech. degree in Computer Science and Engineering from Kurukshetra University in 2008. He completed his Ph.D. in 2019 from The NorthCap University, Gurugram, India, with a focus on speech signal processing and machine learning. His research interests include signal processing, machine learning, and cognitive sciences. Dr. Aggarwal has published over thirty research papers in SCI- and Scopus-indexed journals and conferences and has more than fourteen years of experience in teaching and research.