… data in information systems. This paper investigates how CS can provide new insights into
data sampling and acquisition in wireless sensor networks … during the network lifetime through …

… One major contribution is their high demand on data acquisition. Real-time data acquisition
is … There are many approaches and solutions proposed for real-time data acquisition in the …

… Our results confirm that model-driven data acquisition can yield substantial lifetime … by
model-driven data acquisition, coordination between the data and network layers is necessary. …

… Database technologies are beginning to have a significant impact in the emerging area of
wireless sensor networks (sensornets). The sensornet community has embraced declarative …

… the problem of data acquisition in wireless sensor networks (WSNs). A recently revitalized
technique called compressive sensing (CS) has presented a new method to capture sparse …

… Indexing Based on Data Similarity for Sensor Networks), a data model that … Wireless
sensor networks (WSNs) are composed of small devices with low processing power and data …

… sensor network communication topology and the use of Unmanned Aerial Vehicles (UAVs)
for data … In conventional wireless sensor networks Low Energy Adaptive Clustering Hierarchy …

… data gathering modes. Taking into account the characteristics of data gathering modes and
monitored data, … , and adaptive switching mechanism of data gathering modes. In particular, …

… sensing based data gathering approaches assume the sensed data has a known constant
… an adaptive data gathering scheme by compressive sensing for wireless sensor networks. …

… We considered a large-scale wireless sensor network sampling a physical field, and we
investigated the relationship between the random network topology and the quality of the …