Event-driven IoT architecture for data analysis of reliable healthcare application using complex event processing
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Event-driven IoT architecture for data analysis of reliable healthcare application using complex event processing Amir Masoud Rahmani1,2,3 • Zahra Babaei4 • Alireza Souri4 Received: 24 February 2020 / Revised: 28 September 2020 / Accepted: 2 October 2020 Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract 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. Collecting, modeling, and reasoning data generated by sensors play a crucial role in data analysis. Analyzing and interpreting real-time information transmitted through heterogeneous wireless networks are challenges that IoT applications encounter. 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. Instance data analysis, early diagnosis, and effective treatment of patients through the massive volume of data are considered indispensable parameters that have made the healthcare industry more reliant on real-time event processing than other industries. To achieve actionable insights, forecasting anomaly, and increasing healthcare quality, applying the CEP method is introduced in this area. 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. Keywords Internet of things Real-time processing IoT-aware computing Complex event processing Event-driven architecture
1 Introduction
& Alireza Souri [email protected] Amir Masoud Rahmani [email protected] Zahra Babaei [email protected] 1
Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam
2
Faculty of Information Technology, Duy Tan University, Da Nang 550000, Vietnam
3
Department of Computer Science, Khazar University, Baku, Azerbaijan
4
Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran
Internet of Things (IoT) was proposed to continue the development of distributed mobile computing systems and refers to intelligent mobile systems that receive information from their environment and coordinate behavior accordingly. These systems are parts of a ubiquitous computing environment that smartly capture and analyze all information related to an entity without knowing existence [1]. It is critical to ensure error-free decision-making in patient healthcare technology systems with engineering healthcare solutions. A higher level of reliability and realtime processing through mitigating risk and increa
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