Guest Editors
Dr. Tanveer Ahmad
Email: tahmad01@ucy.ac.cy
Affiliation: Computer science and Engineering, University of Cyprus, Nicosia, 2109, Cyprus
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Research Interests: WSN/ UWSN localization, positioning, navigation, routing, security, and protocols, navigation and path planning for agricultural vehicles in uncertain terrain
Dr. Muhammad Usman Hadi
Email: m.hadi@ulster.ac.uk
Affiliation: School of Engineering, Ulster University, Belfast BT15 1ED, United Kingdom
Homepage:
Research Interests: IoT, optical communication, wireless communication, UAV/drones, 5G and beyond 5G particularly time sensitive networks, microwave photonics, RoF systems, devices for telecommunications, and wireless sensor networks
Summary
Precise localization and smart multi-sensor data integration are now essential drivers for the upcoming generation of smart, connected systems. As Wireless Sensor Networks (WSN), the Internet of Things (IoT), and Vehicular Ad Hoc Networks (VANET) expand, the need for accurate, real-time, and context-aware localization services is accelerating. The integration of these technologies supports various vital applications such as intelligent transportation, smart city infrastructure, autonomous navigation, environmental monitoring, and industrial operations automation. However, attaining precise localization and reliable sensor fusion continues to be challenging because of environmental changes, communication issues, energy restrictions, and varied network structures. Combining data from multiple sensors like GPS, LiDAR, UWB, cameras, and inertial sensors provides a promising way to improve accuracy, fault tolerance, and scalability. Additionally, incorporating artificial intelligence, edge computing, and cloud analytics further boosts the adaptability and intelligence of the localization process systems.
This Special Issue aims to provide a platform for researchers, engineers, and practitioners to share innovative approaches, theoretical advancements, and experimental studies addressing the challenges of localization and sensor fusion in WSN, IoT, and VANET environments. We invite contributions that present novel methodologies, algorithms, frameworks, and real-world implementations to advance the state of the art in this rapidly evolving field.
Topics include (but are not limited to):
• Localization techniques for WSN, IoT, and VANET systems
• Hybrid and cooperative localization methods
• Multi-sensor data fusion algorithms
• Machine learning and AI-driven localization solutions
• Edge and cloud-assisted localization architectures
• Ultra-wideband (UWB), RFID, GPS, and LiDAR-based positioning
• Time synchronization and distance estimation techniques
• Energy-efficient and low-latency localization protocols
• Localization in mobile, dynamic, and harsh environments
• Privacy and security in localization systems
• Performance evaluation and benchmarking of localization methods
Keywords
localization techniques, sensor fusion, wireless sensor networks (WSN),Internet of things (IoT), vehicular ad hoc networks (VANET), Multi-sensor integration, AI-driven localization
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