Wireless sensor networks (WSNs) monitor dynamic environments that change rapidly over
time. This dynamic behavior is either caused by external factors or initiated by the system …

Wireless sensor networks (WSNs) are typically used with dynamic conditions of task-related
environments for sensing (monitoring) and gathering of raw sensor data for subsequent …

As a burgeoning technique for signal processing, compressed sensing (CS) is being
increasingly applied to wireless communications. However, little work is done to apply CS to …

Wireless sensor networks (WSNs) are highly resource constrained in terms of power supply,
memory capacity, communication bandwidth, and processor performance. Compression 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 …

Compressive sensing (CS) can reduce the number of data transmissions and balance the
traffic load throughout networks. However, the total number of transmissions for data …

The recently emerged compressive sensing (CS) theory provides a whole new avenue for
data gathering in wireless sensor networks with benefits of universal sampling and …

We focus on wireless sensor networks (WSNs) that perform data collection with the objective
of obtaining the whole dataset at the sink (as opposed to a function of the dataset). In this …

Energy efficiency is one of the key objectives in data gathering in wireless sensor networks
(WSNs). Recent research on energy-efficient data gathering in WSNs has explored the use …

In this manuscript, we present a survey of designs and implementations of research sensor
nodes that rely on FPGAs, either based upon standalone platforms or as a combination of …