Guest Editors
Prof. Jianfeng Xu
Email: Jianfeng_x@ncu.edu.cn
Affiliation: School of Software, Nanchang University, Nanchang, 330031, China
Homepage:
Research Interests: wireless sensor networks, artificial intelligence, three way decisions, smart healthcare, granular computing, stream computing
Dr. Deyu Lin
Email: Dashing_lin@126.com
Affiliation: School of Software, Nanchang University, Nanchang, 330031, China
Homepage:
Research Interests: wireless sensor networks, IoT, and multi-tier computing networks
Dr. Yufei Zhao
Email: yufei.zhao@ntu.edu.sg
Affiliation: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore
Homepage:
Research Interests: wireless communication engineering, RF & microwave system, reconfigurable intelligent surface (RIS) and electromagnetic wave transmission with orbital angular momentum (OAM)
Dr. Shuai Zhao
Email: shuai.zhao@ntu.edu.sg
Affiliation: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, 639798, Singapore
Homepage:
Research Interests: large language models, deep learning, network security, backdoor attack
Dr. Li Zhang
Email: 1202400062@jxufe.edu.cn
Affiliation: Department of Statistics, Jiangxi University of Finance and Economics, Nanchang, 330013, China
Homepage:
Research Interests: rough sets, three-way decisions, multi-attribute group decision-making, explainable artificial intelligence
Summary
With the rapid advancement of emerging technologies, such as Artificial Intelligence, blockchain, 5G, the Wireless Sensor Networks (WSNs) has profoundly influenced various facets of our lives. They serve as the bridge between the physical world and the digital one. The pivotal characteristic of WSNs lies in the connection of various devices, sensors, and systems through interconnection for data collection, and intelligent process.
In spite of the advantages mentioned above, there are still some technologies of challenges in energy sustainability and intelligent computing facing the further development of WSNs. To this end, the special issue aims to bridge the gap between cutting-edge research and real-world applications, encouraging collaboration among academia, industry, and regulatory bodies to shape the future of WSNs. Through presentations, case studies, and interactive discussions, participants will examine how communications, computing technologies, and large language models can revolutionize WSNs, enabling a smarter and more efficient lifestyle.
Therefore, this special issue focuses on technologies of energy sustainability and intelligent computing for the Wireless Sensor Networks. The following subtopics are the particular interests of this special issue, including but not limited to:
• Energy-sustainable technologies in the Wireless Sensor Networks
• Meta-surface-based technologies in the Wireless Sensor Networks
• Task offloading technologies in the Wireless Sensor Networks
• Service migration technologies in the Wireless Sensor Networks
• Deep learning applied in the Wireless Sensor Networks
• Meta-surface system and prototyping development
• Deep learning and IoT: transforming wireless sensor networks for next-generation solutions
• Advanced technologies in communications and computations in multi-tier computing networks: from the perspective of the perception layer
Keywords
WSNs, IoT, energy sustainability, task offloading, service migration, deep learning, sensing and communications, meta-surface
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