The skeleton-based human action recognition has broad application prospects in the field of
virtual reality, as skeleton data is more resistant to data noise such as background …

As a key technology, clustering has been an effective way in large-scale wireless sensor
networks (WSNs) to extend the lifetime. However, the static cluster structure in most of the …

An adversary can deploy parasitic sensor nodes into wireless sensor networks to collect
radio traffic distributions and trace back messages to their source nodes. Then, he can …

Intrusion detection as one of the most important approaches to guarantee wireless sensing
network security has been studied adequately in previous work. However, with the …

Wireless sensor networks are deployed to monitor the surrounding physical environments
and they also act as the physical environments of parasitic sensor networks, whose purpose …

Wireless sensor network (WSN) technology presents significant advantages for Internet of
Things (IoT). Sensor-based IoT networks are designed to operate in unattended, harsh, and …

Through the past years, wireless sensor networks (WSNs) have witnessed great efforts to
improve its performance and efficiency in terms of energy consumption and network …

The Internet of Things, which enables the interconnection, interoperation, and collaboration
between smart things, allows collecting data from various sources, including GPS data of …

This paper focuses on the abnormal nodes detection of poisonous gas in wireless sensor
networks, namely, finding these nodes whose concentrations are higher than the threshold …

K-nearest neighbor (kNN) query is an effective way to extract information of interest from
distributed sensing devices. Most of the existing kNN query processing approaches rely on …