Wireless sensor networks (WSNs) are typically used with dynamic conditions of task-related
environments for sensing (monitoring) and gathering of raw sensor data for subsequent …

Wireless sensor networks (WSNs) have taken a giant leap in scale, expanding their
applicability to a large variety of technological domains and applications, ranging from the …

This paper focuses on the detection and classification of micro-unmanned aerial vehicles
(UAVs) using radio frequency (RF) fingerprints of the signals transmitted from the controller …

A wireless sensor network (WSN) consists of a huge number of sensor nodes that are
inadequate in energy, storage and processing power. One of the major tasks of the sensor …

Compressive sensing (CS) can reduce the number of data transmissions and balance the
traffic load throughout networks. However, the total number of transmissions for data …

In this paper, we study the problem of data gathering with compressive sensing (CS) in
wireless sensor networks (WSNs). Unlike the conventional approaches, which require …

In existing WiFi-based localization methods, smart mobile devices consume quite a lot of
power as WiFi interfaces need to be used for frequent AP scanning during the localization …

Data gathering in sensor networks is required to be efficient, adaptable and robust.
Recently, compressive sensing (CS) based data gathering shows promise in meeting these …

In this paper, we propose an integration of compressive sensing (CS) and clustering in
WSNs utilizing block diagonal matrices (BDMs) as the measurement matrices. Such an …

As one of the key operations in Wireless Sensor Networks (WSNs), the energy-efficient data
collection schemes have been actively explored in the literature. However, the transform …