Key result
An IoT-based Complex Event Processing approach using a mobile device on the edge circumvents out-of-order delivery, avoids queuing delays, reduces data transfer costs, and enables local alarms.
Performing Complex Event Processing on edge mobile devices for remote patient monitoring improves system efficiency and reliability compared to centralized server approaches.
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May enable efficient local alarms in remote monitoring; leaves open clinical outcome benefits in cardiology.
Complex Event Processing (CEP) is widely used for Remote Patient Monitoring (RPM). However, the state-of-the-art techniques use a centralized server to receive health sensor streams and detect complex events. This paper introduces an Internet of Things (IoT) based CEP approach that uses a mobile device on the edge and a remote IoT Hospital Server (IHS) deployed on the cloud. The prototype implementation of the system uses an open-source Siddhi CEP engine on the mobile device and an open-source Web Services Oxygen (WSO2) IoT Server on the IHS. In this architecture, complete complex event detection is performed on the edge and the complex event streams are sent to the hospital server using the Message Queuing Telemetry Transport (MQTT) protocol. The MQTT broker forwards complex event streams to an event listener service running on the hospital server that notifies the hospital staff. Advantages of performing CEP on the edge include circumventing out-of-order delivery of various health sensor streams, avoiding queuing delays at the hospital server and reducing the user cost for data transfer between the mobile device and the hospital server. Also, this technique provides the ability to generate local alarms for the patient even when the mobile network connecting the device to the hospital server is unavailable.
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Dhillon et al. (2018) studied Remote Patient Monitoring. Mobile Complex Event Processing (CEP) System on the edge vs. Centralized server CEP was evaluated on System advantages (circumventing out-of-order delivery, avoiding queuing delays, reducing user cost, generating local alarms). An IoT-based Complex Event Processing approach using a mobile device on the edge circumvents out-of-order delivery, avoids queuing delays, reduces data transfer costs, and enables local alarms.
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