Reducing Delay and Packets Loss in IoT-Cloud Based ECG Monitoring by Gaussian Modeling

Abstract— Health monitoring based on the internet of things (IoT) and cloud computing is regarded as a hot topic to research. However, such systems often face issues with delay throughput due large amount data that must be transmitted from sensors cloud. One important type for health Electrocardiogram (ECG) signals, which generate transmitted. This research treats this problem by modelling these signals in order reduce their size using Gaussian approximation. The server an MQTT broker publish via gateway. parameters are calculated gateway, act Fog layer, before published broker. devices can subscribe access data. Our experiments were conducted MIT–BIH dataset real (HiveMQ). results showed system was able significantly transmitting prevent loss information. Without approximation technique, only monitor limited number patients (17 Qos1 23 Qos0) without losing when model five functions, many more (78 100 or any