Power consumption is a critical problem affecting the lifetime of wireless sensor networks. A
number of techniques have been proposed to solve this issue, such as energy-efficient …

Sensing of the application environment is the main purpose of a wireless sensor network.
Most existing energy management strategies and compression techniques assume that the …

Data collection is a crucial operation in wireless sensor networks. The design of data
collection schemes is challenging due to the limited energy supply and the hot spot problem …

This survey provides a brief introduction to compressed sensing as well as several major
algorithms to solve it and its various applications to communications systems. We firstly …

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

We proposed compressive data gathering (CDG) that leverages compressive sampling (CS)
principle to efficiently reduce communication cost and prolong network lifetime for large …

Although comprehensive knowledge of cyber-physical systems (CPS) is becoming a must
for researchers, practitioners, system designers, policy makers, system managers, 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 …

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

The problem of data sampling and collection in wireless sensor networks (WSNs) is
becoming critical as larger networks are being deployed. Increasing network size poses …