Dear Colleagues,

GNSS positioning and navigation methods are being used for a wide range of applications, and algorithms for computing position, velocity and time (PVT) constitute an important research field. PVT methods commonly use a sensor fusion methodology of GNSS, map-matching, IMU, and RF fingerprinting (BLE, WiFi, 4G 5G), in order to improve both the accuracy and robustness of the reported PVT.

This Special Issue focuses on the use of a wireless sensor network (WSN) in order to improve existing PVT solutions in terms of accuracy, robustness and resilience, particularly concerning the following topics:

• Using wireless sensor networks with varying capabilities (RF-ToF), in order to allow on-demand positioning;
• Using a wireless sensor network to detect and profile GNSS jamming scenarios;
• Optimal sensor deployment algorithms for positioning wireless sensor networks;
• Methods for using smartphones in order to continually update RF fingerprinting datasets (crowdsource RF-SLAM);
• Using device-to-device communication in order to allow infrastructure-less WSN;
• Relative positioning with respect to COVID-19 such as risk assessments (e.g., have I shared an elevator last week with a COVID-19 positive person?);
• Statistical privacy information: e.g., the number of people are on the bus, in the mall, or in the elevator;
• Smart cities: Using WSN for resilient positioning.

Prof. Dr. Boaz Ben-Moshe
Guest Editor

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