Transmitting vital health data with coap observe

Internet of Things (IoT) is one of the most preferred technologies of recent times. Today, the use of IoT in daily life is increasing and it is expected to increase further over time. IoT devices can communicate automatically without the need for any user. It can receive data from other devices or generate data through the sensors on them. IoT can be used in smart city systems, home automation systems, traffic, and many other areas. One of the areas where the IoT system is used is the health sector. In healthcare technology, IoT systems play an important role in the automatic acquisition, monitoring, and processing of patients' health data. Elderly patients who do not want to be in a crowded environment or who need compulsory home care can expect to be monitored and treated remotely. As a solution to these situations, IoT systems can be considered to collect the health data of individuals and transmit them to a health institution. In this case, it is necessary to analyze the performance of network protocol stacks that can work with IoT systems in order to transmit this health data quickly and reliably. In this study, the health data of the patients were updated every second using the CoAP Observe method. The standard IoT protocol stack is used. 4 different metrics (latency, energy efficiency, reliability, and throughput) were determined and performance evaluation was made. A total of 12 scenarios were evaluated with 4 different scenarios and 3 different PDR (Packet Delivery Ratio) values (100, 95, 90) using MAC (CSMA, nullMAC) and RDC (contikiMAC, nullRDC) protocols.