Guest Editors
Prof. Giovanni Pau
Email: giovanni.pau@unikore.it
Affiliation: Department of Engineering and Architecture, Kore University of Enna – 94100 Enna, Italy
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Research Interests: Wireless sensor networks; fuzzy logic; machine learning
Summary
The proposed special issue titled "Smart Wireless Sensor Networks: Integrating Fuzzy Logic and Machine Learning for Enhanced Decision Making" seeks to explore innovative approaches that harness the synergistic capabilities of fuzzy logic and machine learning to enhance the functionality and efficiency of wireless sensor networks (WSNs).
Wireless sensor networks have become integral to a wide range of applications, from environmental monitoring and smart cities to healthcare and industrial automation. As these networks evolve, the complexity of data generated and the need for real-time decision-making increase significantly. Fuzzy logic and machine learning offer powerful tools to address these challenges by enabling more adaptive, intelligent, and precise management of sensor data.
This special issue will focus on topics such as:
1. Fuzzy Logic-Based Approaches: Applications of fuzzy logic in sensor data processing, anomaly detection, and decision-making in WSNs.
2. Machine Learning Techniques: Employing machine learning algorithms for predictive analytics, sensor fusion, and real-time data interpretation in WSNs.
3. Hybrid Models: Development of hybrid models that combine fuzzy logic and machine learning to enhance the performance of wireless sensor networks.
4. Applications: Case studies showcasing the implementation of fuzzy logic and machine learning in various domains, such as healthcare monitoring, smart agriculture, and environmental sensing.
5. Challenges and Future Directions: Addressing the current challenges in integrating fuzzy logic and machine learning within WSNs and exploring future research directions.
The guest editor invites researchers, practitioners, and industry experts to submit original research papers, reviews, and case studies that contribute to the advancement of knowledge in this area. The aim is to foster a multidisciplinary dialogue on how fuzzy logic and machine learning can be effectively integrated into smart wireless sensor networks to enhance decision-making processes, improve efficiency, and enable new applications.
This special issue aims to serve as a comprehensive resource for scholars and practitioners, highlighting innovative solutions and providing insights into the future of intelligent wireless sensor networks.
Keywords
Wireless Sensor Networks (WSNs), Fuzzy Logic, Machine Learning, Intelligent Decision Making, Data Fusion, Anomaly Detection, Predictive Analytics, Smart Systems
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