Abstract When Donoho and Candes, Rosenberg and Tao separately introduced the concept
of compressive sampling (CS) to the scientific community, the entire basis of traditional …

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 …

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 …

In this survey paper, our goal is to discuss recent advances of compressive sensing (CS)
based solutions in wireless sensor networks (WSNs) including the main ongoing/recent …

Reductions in HVAC (heating, ventilation and air conditioning) energy consumption can be
achieved by limiting heating in the winter or cooling in the summer. However, the resulting …

A novel intercluster routing which simultaneously takes the energy efficiency in both
intracluster and intercluster phases into account is proposed in this article, with the aim of …

Compressive sensing (CS)-based data aggregation has become an increasingly important
research topic for large-scale wireless sensor networks since conventional data …

Wireless sensor network (WSN) suffers from the energy‐limited sensor nodes which
consume energy heavily depending upon the magnitude of data which is transmitted or …

Compressive Sensing (CS) has proved to be a promising approach for the Internet of things
(IoT) due to the fact that CS can abate the magnitude of raw data which is to be transmitted …

Parallel acquisition systems arise in various applications to moderate problems caused by
insufficient measurements in single-sensor systems. These systems allow simultaneous …