Sensor data quality plays a vital role in Internet of Things (IoT) applications as they are
rendered useless if the data quality is bad. This systematic review aims to provide an …

The recent developments in both nanotechnologies and wireless technologies have
enabled the rise of small, low-cost and energy-efficient environmental sensing devices …

The plausibility of data from networks of low-cost measurement devices is a growing and
important contentious issue. Informal networks of low-cost devices have particularly come to …

Temporal drift of sensory data is a severe problem impacting the data quality of wireless
sensor networks (WSNs). With the proliferation of large-scale and long-term WSNs, it is …

The lifetime of wireless sensor networks (WSNs) has been significantly extended, while in
long-term large-scale WSN applications, the increasing sensor drift has become a key …

Air pollution has become a global threat to human health. Fine-grained air quality monitoring
has attracted much attention in recent years. Low-cost calibrated sensors make it possible …

Wireless sensor networks (WSNs) have been increasingly applied for environmental
monitoring in recent years. However, the sensor data drift is a serious issue affecting the …

We consider the problem of blind calibration of a sensor network, where the sensor gains
and offsets are estimated from noisy observations of unknown signals. This is in general a …

IoT sensors are made of physical materials, and due to natural decay in materials, sensor
data drifts over time. Even though sensors are calibrated after deploying at the site, the …

Air pollution has become a global threat to urban environments and public health. Low-cost
air quality sensor systems have been deployed to support fine-grained monitoring, and in …