The number of Internet of Things (IoT) and smart devices capable of producing, consuming
and exchanging information is constantly increasing. It is estimated there will be around 30 …

In recent years, Internet of things (IoT) has become an intelligent computer model in which
various things and resources are connected to a range of intelligent solutions such as …

Edge devices are usually limited in resources. They often send data to the cloud, where
techniques such as filtering, aggregation, classification, pattern detection, and prediction are …

Raw sensed data lacks semantics. This poses a challenge to apply analytics directly to raw
IoT sensor data. Such operational data requires an intensive enrichment processes to drive …

IoT systems are now being deployed worldwide to sense phenomena of interest. The
existing IoT systems are often independent, which limits the use of sensor data to only one …

Smart home devices are constantly exchanging data with a variety of remote endpoints. This
data encompasses diverse information, from device operation and status to sensitive user …

Semantic technology can provide a bridge between smart applications and Internet of
Things (IoT) to enable possible integration and interoperability of data produced by …

Large-scale industrial internet of things (IIoT) applications usually access distributed
equipment where high-volume sensor streams are processed. The building of scalable …

Increasing deployments of the Internet of Things (IoT) applications have brought forward the
requirement of processing massive volumes of streaming data generated by the IoT sensors …

Wireless Sensor Networks (WSNs) are one of the most important components of the Internet
of Things (IoT). They produce continuous stream of data and transmit these data to a …