Signal and Information Processing in Wireless Sensor Networks

Dear Colleagues,

Wireless Sensor Networks (WSNs) have attracted worldwide interest in the last two decades. Advances in communications, computations and miniaturization have led to their emergence and use in a large range of applications. WSNs are composed of smart nodes able to sense, process, collect, store, and share data. The main objective of using WSN is to create and monitor intelligent fields for military applications, environmental engineering, healthcare, industry, smart home, etc.

The aim of this Special Issue is to collect original papers, covering unpublished research, from academic and industrial actors. The fields of interest of this Special Issue are signal and information processing in all types of WSNs, from small-scale networks, such as wireless personal area networks, wireless body area networks and Internet of Things, to large-scale ad hoc networks, such as vehicular ad hoc networks and unmanned aerial vehicular ad hoc networks.

Topics of interest in signal and information processing include, but are not limited to:

• Machine learning algorithms
• Distributed optimization algorithms
• Spectrum sensing and cognitive radio networks
• Energy-efficient algorithms
• Sensor data fusion
• Big data processing
• Biomedical signal processing
• Pattern recognition and analysis
• Other applications of WSN and industrial experiences

Prof. Dr. Paul Honeine
Dr. Farah Chehade
Guest Editors

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