Wireless sensor networks (WSNs) provide a virtual layer where the information about the
physical world can be accessed by computational systems. Mobile robots have long been …

In the past two decades, network clustering has been proven as efficient approach for data
collection and routing in wireless sensor networks (WSNs). It provides several advantages …

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 …

Wireless sensor networks (WSNs) form an important part of industrial application. There has
been growing interest in the potential use of WSNs in applications such as environment …

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

Due to the energy limit of sensor nodes, prolonging lifetime of wireless sensor networks
(WSNs) is a big challenge. This challenge becomes even more critical in large-scale sensor …

Energy consumption, secure connection of Sensor Nodes (SNs), and their performance
analysis play a major role in Wireless Sensor Networks (WSNs) research. Increased case …

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 …

Compressive Sensing (CS) has succeeded in presenting itself as an adequate method for
Internet of Things (IoT) mainly because CS can reduce the size of raw data transmission and …