In remote sensing applications and medical imaging, one of the key points is the acquisition,
real-time preprocessing and storage of information. Due to the large amount of information …

Due to various restrictions, some Internet of Things (IoT) sensing layers can only deploy a
small number of sensor nodes for spatiotemporal low-resolution environmental information …

With the increasing concerns for the environment, the amount of the data monitored by
wireless sensor networks (WSNs) is becoming larger and the energy required for data …

Abstract The Compressive Light-Beam-Induced Current (CLBIC) method has garnered
considerable attention as an emerging fast Light-Beam-Induced Current (LBIC) technique …

Considering the event-based WSNs routing, the frequent changes of topology may result to
the large energy costs in the whole network. Therefore, this paper proposes a Compressed …

The emergence of the heterogeneous Internet of Things (IoT) has realized the demand for
multi-attribute data collection in response to the increasing demand for information in …

We are interested in investigating the compressed sensing paradigm in the context of mobile
systems to deal with the logistical and computational challenges in future communications …

In remote sensing applications and medical imaging, one of the key points is the acquisition,
realtime preprocessing and storage of information. Due to the large amount of information …

Résumé Dans les applications de télédétection et d'imagerie médicale, l'un des points clés
est l'acquisition, le prétraitement en temps réel et le stockage des informations. En raison de …