An article entitled “Event-driven IoT architecture for data analysis of reliable healthcare application using complex event processing”, authored by Dr. Amir Rahmani, Professor of Computer Science at Khazar University was published in Cluster computing, an ISI-indexed journal from Springer collection.

Internet of Things (IoT) is enhancing the intelligence of the societies through a rapid transition to a smarter, automatic, responsive world due to the dramatic increase in the number of sensors deployed around the world. Complex Event Processing (CEP) is a data stream tracking method used to extract the meaningful data obtained from the network results in real-time decision making. In this paper, an event-driven IoT architecture is presented for data analysis of reliable healthcare applications, including context, event, and service layers. Dependability parameters are considered in each layer, and the CEP method as a novel solution and automated intelligence is applied in the event layer. Implementation results showed that the CEP method increased reliability, reduced costs, and improved healthcare quality.

The article can be found at this link:

https://link.springer.com/article/10.1007/s10586-020-03189-w