Minimizing the energy consumption through efficient data gathering as well as energy
harvesting both are open research problems in the context of practical wireless sensor …

This paper advocates the use of the emerging distributed compressive sensing (DCS)
paradigm in order to deploy energy harvesting (EH) wireless sensor networks (WSN) with …

Nowadays, wireless sensor networks (WSNs) have found many applications in a variety of
topics. The main objective in WSNs is to measure environmental phenomena and send …

This paper presents a novel approach based on the compressive sensing (CS) in order to
reduce the energy consumption in a wireless sensor network (WSN). The proposed method …

Improving the lifetime of wireless sensor networks (WSNs) is directly related to the energy
efficiency of computation and communication operations in the sensor nodes. Compressive …

Main constraints of wireless sensor networks (WSN) are less memory space, limited power
supply, processing speed and availability of bandwidth for communication. The most …

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 …

This paper proposes a novel data gathering method using Compressive Sensing (CS) and
random projection to improve the lifetime of large Wireless Sensor Networks (WSNs). To …

In this paper, an integration of compressive sensing (CS) and clustering in wireless sensor
networks (WSNs) is proposed to significantly reduce the energy consumption related to data …

Sensory data in many wireless sensor networks feature spatio-temporal correlations, and
compressive sensing (CS) plays an important role in energy-efficient data gathering. In this …