Guest Editors
Prof. Ray-I Chang
Email: rayichang@ntu.edu.tw
Affiliation: Department of Engineering Science and Ocean Engineering, National Taiwan University, Taipei, 106, Taiwan
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Research Interests: wireless sensor networks, artificial intelligence, security
Assoc. Prof. Yu-Hsin Hung
Email: hungyh@yuntech.edu.tw
Affiliation: Department of Industrial Engineering and Management, National Yunlin University Science and Techonology, Yunlin, 640, Taiwan
Homepage:
Research Interests: cloud computing, machine learning, internet of things
Summary
Wireless Sensor Networks (WSNs) have become a critical technology in various domains, including smart cities, industrial automation, healthcare, and environmental monitoring. As WSNs evolve, challenges related to security, efficiency, and intelligence in data processing must be addressed to enhance their reliability and applicability.
This special issue aims to explore recent advancements in WSNs, focusing on secure communications, energy-efficient architectures, and AI-driven optimizations. We welcome contributions that propose innovative solutions for secure data transmission, lightweight cryptographic mechanism, edge computing integration, and AI-powered decision-making in sensor networks. Additionally, researches on blockchain for trusted data management, federated learning for privacy-preserving analytics, and novel resource allocation strategies in large-scale WSN deployments are encouraged.
We invite researchers and practitioners to submit original research articles, review papers, and case studies that push the boundaries of WSNs and contribute to their future development.
Topics of Interest:
• Secure and privacy-preserving issues in WSNs
• AI and machine learning applications in WSNs
• Energy-efficient protocols and resource management
• Edge and cloud computing for WSN data processing
• Blockchain and decentralized trust in WSNs
• Smart sensing technologies for IoT and Industry 4.0
• Federated learning and distributed intelligence in WSNs
Keywords
Wireless Sensor Networks, Security, Energy Efficiency, AI/ML, Edge Computing, Blockchain, Privacy-Preserving Analytics
Published Papers
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