Guest Editor(s)
Dr. Laith Farhan
Email: l.farhan@uodiyala.edu.iq
Affiliation: Department of Electronic Computer Centre, University of Diyala, Baqubah, Iraq
Homepage:
Research Interests: energy optimization in IoT and WSN networks, network management, smart city design and planning, IoT and WSN routing protocols, machine learning and big data analytics, wireless communications
Dr. Waled Gheth
Email: w.gheth2@hud.ac.uk
Affiliation: School of Computing and Engineering, University of Huddersfield, Huddersfield, United Kingdom
Homepage:
Research Interests: IoT, wireless and visible-light communications, wireless sensor networks, machine learning, signal processing, and intelligent connected systems
Dr. Mohamed Khaleel
Email: lykhaleel@yahoo.co.uk
Affiliation: Department of Electrical and Electronics Engineering, Karabuk University, Karabuk, Turkey
Homepage:
Research Interests: AI applications in microgrids and smart grids, power-quality optimisation, intelligent battery management, renewable energy integration, energy-management systems, and optimal coordination of distributed energy resources
Summary
As intelligent systems expand rapidly, heterogeneous urban networks connect millions of diverse physical objects and smart devices. These interconnected systems continuously sense and transmit vast volumes of local environmental data, driving the evolution of big data generated by connected devices. However, because these devices often operate on disparate protocol stacks, architectures, and data formats, achieving seamless communication, scalability, and robust security remains a critical challenge.
This Special Issue provides a collaborative platform for multidisciplinary researchers and practitioners to advance state-of-the-art solutions for smart cities. It highlights groundbreaking research at the intersection of artificial intelligence, machine learning, and advanced networking. Key areas of focus include energy optimization for resource-constrained devices, cutting-edge cybersecurity frameworks to protect critical urban infrastructure, and innovations in robotics and remote sensing across local-to-global scales.
By uniting these diverse domains, this collection aims to showcase effective methodologies and real-world practices that shape resilient, secure, and truly intelligent urban ecosystems. It also aims to explore emerging factors influencing the adoption of AI-driven intelligent systems and secure networking in smart-city applications across fields such as healthcare, industry, agriculture, and social media. High-quality survey papers are also welcome.
Areas of interest include, but are not limited to, the following:
· Internet of Things (IoT) and smart cities
· Cybersecurity and privacy for intelligent systems
· Data processing and analysis for intelligent systems
· Data acquisition and integration in IoT-based wireless sensor networks
· Big data mining and analytics for smart-city networks
· Deep learning applications
· Advances in wireless sensor networks
· Machine learning models and applications for smart cities
· Energy-aware hardware
· Mobile cloud, things-to-cloud, and IoT services
· Smart-city cybersecurity
· Ransomware prevention for intelligent systems
· Solutions to improve smart-city networks, including congestion, delay, priority, scheduling, and scalability
· Intelligent systems and machine-to-machine (M2M) applications
Keywords
IoT, smart cities, intelligent systems, cybersecurity, machine learning, wireless sensor networks, big data analytics, heterogeneous networks
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