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Artificial Intelligent Techniques for Wireless Communication and Networking

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33. Resource Management Using AI using WSN
Adaptive WSN
AI based Data Aggregation in WSN
AI based data aggregation techniques
AI based WSN Security
AI for Routing in WSN
AI in and Supply Chain
AI in Robotics
AI in WSN
AI to Improve Workplace Communication
Applications of AI in wireless communications
Applications of AI in wireless Security
Artificial Intelligence for Wireless Sensor Networks Enhancement
Artificial Intelligence in Logistics
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Compressive Sensing and Sparse Coding in WSN using AI
Compressive Sensing and Sparse Coding in WSN using ML
Computer Vision applications based ML
Deep Learning in WSN
Distributed and Adaptive AI based Techniques for WSNs
Distributed and Adaptive Machine Learning Techniques for WSNs
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Functional Challenges of AI in WSN
Functional Challenges of ML in WSN
Future Applications of ML in wireless communications
Impact of AI in 5G wireless technologies and communication systems
Impact of ML in 5G wireless technologies and communication systems
Improving WSN Routing using AI
Improving WSN Security using AI
Intelligent WSN
Intelligent WSN based on AI
IoT in Deep learning
Machine Learning for 5G Mobile
Machine Learning for 5G WSN
Machine Learning for B5G Mobile
Machine Learning for B5G WSN
Machine Learning for Clustering in WSN
Machine Learning for Data Aggregation in WSN
Machine Learning for Routing in WSN
ML based WSN Security
NLP using AI
Non-Functional Challenges of AI in WSN
Non-Functional Challenges of ML in WSN
Recommender Systems techniques
Reinforcement Learning in WSN
Reinforcement WSN Security
Resource Management Using Machine Learning in WSN
Role of reinforcement learning in Networking techniques
Supervised learning techniques in WSN
Unsupervised learning techniques in WSN
Use of AI in future wireless communications
WSN Security using AI

Product details

  • ISBN 9781119821274
  • Weight: 454g
  • Dimensions: 10 x 10mm
  • Publication Date: 01 Apr 2022
  • Publisher: John Wiley & Sons Inc
  • Publication City/Country: US
  • Product Form: Hardback
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Description
ARTIFICIAL INTELLIGENT TECHNIQUES FOR WIRELESS COMMUNICATION AND NETWORKING

The 20 chapters address AI principles and techniques used in wireless communication and networking and outline their benefit, function, and future role in the field.

Wireless communication and networking based on AI concepts and techniques are explored in this book, specifically focusing on the current research in the field by highlighting empirical results along with theoretical concepts. The possibility of applying AI mechanisms towards security aspects in the communication domain is elaborated; also explored is the application side of integrated technologies that enhance AI-based innovations, insights, intelligent predictions, cost optimization, inventory management, identification processes, classification mechanisms, cooperative spectrum sensing techniques, ad-hoc network architecture, and protocol and simulation-based environments.

Audience

Researchers, industry IT engineers, and graduate students working on and implementing AI-based wireless sensor networks, 5G, IoT, deep learning, reinforcement learning, and robotics in WSN, and related technologies.
About

R. Kanthavel, PhD is a Professor in the Department of Computer Engineering, King Khalid University Abha, Kingdom of Saudi Arabia. He has published more than 150 research articles in reputed journals and international conferences as well as published 10 engineering books. He specializes in communication systems engineering and information and communication engineering.

K. Ananthajothi, PhD is an assistant professor in the Department of Computer Science and Engineering at Misrimal Navajee Munoth Jain Engineering College, Chennai, India. He has published a book on "Theory of Computation and Python Programming" and holds 2 patents.

S. Balamurugan, PhD is the Director of Research and Development, Intelligent Research Consultancy Services (iRCS), Coimbatore, Tamilnadu, India. He is also Director of the Albert Einstein Engineering and Research Labs (AEER Labs), as well as Vice-Chairman, Renewable Energy Society of India (RESI), India. He has published 45 books, 200+ international journals/ conferences, and 35 patents.

R. Karthik Ganesh, PhD is an associate professor in the Department of Computer Science and Engineering, SCAD College of Engineering and Technology, Cheranmahadevi, Tamilnadu, India. His research interests are in wireless communication, video and audio compression, image classification, and ontology techniques.