Submission Tilte
AI-Driven Sustainable and Energy-Efficient Wireless Sensor Technologies for Next-Generation Smart Cities
Submission Abstract:
The rapid evolution of wireless sensor technologies, combined with AI, IoT, and next-generation communication networks, is revolutionizing smart cities by enhancing sustainability, efficiency, and security. This thematic issue focuses on AI-driven, energy-efficient wireless sensor technologies that optimize urban infrastructure, environmental monitoring, transportation, and resource management. The integration of AI and machine learning enables advanced data analytics, predictive maintenance, and anomaly detection, improving decision-making in real-time applications. Energy-efficient communication protocols, including low-power IoT, energy harvesting, and green networking, are essential for reducing the environmental impact of large-scale sensor deployments. Additionally, the emergence of 5G/6G, edge computing, and ultra-reliable low-latency communication (URLLC) supports real-time smart city applications such as intelligent traffic systems, autonomous mobility, and smart grids. Blockchain technology further enhances security and decentralization in wireless sensor networks, ensuring data integrity and privacy. Innovations in quantum and nano-sensor technologies provide high-precision environmental and structural monitoring solutions. Cyber-Physical Systems (CPS) and digital twins play a crucial role in predictive urban planning and infrastructure resilience. This issue also explores sustainable IoT applications, including waste management, air quality monitoring, and intelligent energy distribution, which are vital for the future of smart and connected cities. By bringing together researchers, industry professionals, and policymakers, this thematic issue aims to highlight cutting-edge research, emerging challenges, and future directions in sustainable wireless sensor technologies. Contributions in the form of original research, review articles, and case studies are welcomed to advance knowledge and foster innovation in smart city development.