Advances in Wireless Sensor Network Signal Processing

Dear Colleagues,

As a revolutionary information-gathering method, wireless sensor networks (WSNs) are an indispensable building block of Internet-of-Things (IoT) systems. Currently, data transmissions in WSNs are enabled by a wide variety of wireless communication technologies, such as Wi-Fi, ZigBee, LoRa, and NB-IoT. However, these radio solutions as they exist today are not yet well-established paths to satisfy the required reliability and efficiency of various IoT applications. This is due to their limited and insufficient signal processing capabilities regarding power consumption, data rate, coverage, immunity against interference, and so forth. In this context, this Special Issue aims to foster discussions about the design, implementation, evaluation, and application of emerging signal processing techniques for WSNs among practitioners, researchers, and educators. This Special Issue solicits articles addressing numerous topics, including but not limited to the following:

• Design, development, and measurement of WSN testbeds and simulation tools;
• Foundations of signal processing in WSNs;
• Distributed and collaborative signal processing in WSNs;
• Information theory, coding, and modulation in WSNs;
• In-network signal processing in WSNs;
• Signal processing for WSN spectrum efficiency and coexistence;
• New WSN communication schemes including backscattering, MIMO, intelligent reflective surfaces, etc.;
• Artificial intelligence for signal processing in WSNs;
• Security aspects of signal processing in WSNs.

Dr. Chenglong Shao
Prof. Dr. Qinghe Du
Dr. Keping Yu
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1200 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.