We simulate 5 devices that send temperature values using the MQTT protocol. Two
scenarios were made for this simulation. The first is to use a temperature interval equal
to 1 s for the 5 devices. The second is to vary the sending intervals for each device
(10 min, 5 min, 1 h, 30 min, 10 s).
The evaluation results reflected in Fig. 5 and Fig. 6 are obtained using chronograf
software which is an administrative tool for InfluxData deployments [16]. It shows that
the use of a single data processing strategy in a fixed and non-custom way can result in
an unnecessary use of gateway processor and memory which obviously affects performance and the time reaction specially in emergency cases.
Fig. 4. Self-adaptative configuration example.
Fig. 5. Evaluation of the fixed scenario
Self-adaptative Early Warning Scoring System for Smart Hospital
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scenarios were made for this simulation. The first is to use a temperature interval equal
to 1 s for the 5 devices. The second is to vary the sending intervals for each device
(10 min, 5 min, 1 h, 30 min, 10 s).
The evaluation results reflected in Fig. 5 and Fig. 6 are obtained using chronograf
software which is an administrative tool for InfluxData deployments [16]. It shows that
the use of a single data processing strategy in a fixed and non-custom way can result in
an unnecessary use of gateway processor and memory which obviously affects performance and the time reaction specially in emergency cases.
Fig. 4. Self-adaptative configuration example.
Fig. 5. Evaluation of the fixed scenario
Self-adaptative Early Warning Scoring System for Smart Hospital
25