Abstract The Internet of Things needs for computing power and storage are expected to
remain on the rise in the next decade. Consequently, the amount of data generated by …

Wireless sensor networks include a large number of sensor nodes, which monitor an
environment. These networks have many applications in Internet of Things (IoT) and …

Nowadays, there are two significant tendencies, how to process the enormous amount of
data, big data, and how to deal with the green issues related to sustainability and …

A novel algorithm which combined the merits of the clustering strategy and the compressive
sensing-based (CS-based) scheme was proposed in this paper. The lemmas for the …

Internet of Things (IoT) is emerging as the underlying technology of our connected society,
which enables many advanced applications. In IoT-enabled applications, information of …

A comprehensive analysis on the energy-efficient strategy in static Wireless Sensor
Networks (WSNs) that are not equipped with any energy harvesting modules is conducted in …

The limited bandwidth of Wi-Fi severely confines the granularity (especially in differentiating
multiple subjects) of Wi-Fi sensing, posing a significant challenge for its wide adoption …

Different data aggregation techniques require varying amounts of energy to process raw
data. The choice of data aggregation method depends on the application requirements as …

The recent advances of compressive sensing (CS) have witnessed a great potential of
efficient compressive data gathering (CDG) in wireless sensor network systems (WSNSs) …

Recent advances in large-scale networked sensor technologies and the explosive growth in
big data computing have made it possible for new application deployments in smart cities …