In recent years, wireless multimedia sensor networks (WMSNs) have emerged as a
prominent technique for delivering multimedia information such as still images and videos …

For many applications in wireless sensor networks (WSNs), users may want to continuously
extract data from the networks for analysis later. However, accurate data extraction is difficult …

In wireless sensor networks (WSNs), due to the restriction of scarce energy, it remains an
open challenge how to schedule the data communications between the sensor nodes and …

One of the most widespread and important applications in wireless sensor networks (WSNs)
is the continuous data collection, such as monitoring the variety of ambient temperature and …

Artificial intelligence (AI) on chips has recently driven the expansion of the Social Internet of
Things (SIoT), where a group of SIoT devices with social relations can collaboratively …

This paper proposes a method based on multivariate spatial and temporal correlation to
improve prediction accuracy in data reduction for Wireless Sensor Networks (WSN) …

Energy harvesting and source coding are two key techniques that can be exploited to
mitigate the device battery limitation in Internet of things (IoT). However, these mitigating …

Wake-up radio technology helps to attenuate unnecessary power consumption by allowing
a node to keep its main radio off until it is woken up by a signal to an auxiliary low-power …

Abstract Wireless Multimedia Sensor Networks (WMSN) are today considered as a
promising technology, notably because of the availability of miniaturized multimedia …

Energy-efficient communication remains one of the key requirements of the Internet of
Things (IoT) platforms. The concern on energy consumption can be mitigated by exploiting …