Advancing Sensors and Wireless Communication Systems through Artificial Intelligence: Integrating Health, IoT, and Data Analytics.
Journal: International Journal of Sensors, Wireless Communications and Control
Guest Editor(s): Dr. Anil Kumar
Co-Guest Editor(s): Dr. Eva Tuba,Dr. Dinesh Goyal
Submission closes on:
23rd January, 2026
Introduction
The transformative role of Artificial Intelligence (AI) in modern technologies has led to significant advancements in sensors and wireless communication systems. AI's integration with domains such as healthcare, the Internet of Things (IoT), machine learning, and data analytics has revolutionized real-time monitoring, predictive maintenance, and adaptive systems. This thematic issue will focus on the application of AI to these critical areas, addressing challenges like energy efficiency, scalability, and real-time processing. It also builds upon discussions and outcomes from the International Conference on Networked Computing and Data Analytics (ICNCDA 2024) Key topics include AI applications in sensor technologies, healthcare monitoring, IoT integration, and energy-efficient communication protocols. The proposal invites contributions from researchers and industry professionals to advance the understanding and application of AI in these domains.
Keywords
Sensor, Artificial Intelligence (AI), Wireless Communication Systems, Internet of Things (IoT), Data Analytics, Machine Learning
Sub-topics
- AI-Driven Innovations in Sensor Technologies
- AI and Wireless Communication Systems
- AI Applications in Healthcare Monitoring
- Integration of AI with IoT Systems
- AI-Powered Data Analytics for Sensors
- Challenges in AI-Enabled Sensor Networks
- Future Trends and Research Directions in AI for Sensors and Communication Systems
- AI for Real-Time Sensor Data Processing
- Role of AI in Enhancing Edge Computing Capabilities
- Machine Learning Models for Adaptive Sensor Networks
- AI in Predictive Maintenance of Wireless Systems
- Smart Cities and AI-Enabled IoT Sensor Networks
- AI for Security and Privacy in Wireless Communications
- Deep Learning for Signal Processing in Sensor Systems
- AI in Energy-Efficient Wireless Communication Protocols
- Applications of Reinforcement Learning in Sensor Optimization
- AI-Driven Autonomous Systems Using Sensor Networks
- AI for Environmental Monitoring Using IoT Sensors
- Intelligent Sensor Fusion Techniques with AI
- AI in 6G and Next-Generation Wireless Systems