@@ -244,9 +244,11 @@ The affected Service Requesting Users base is small like in:
**Figure 4.4.1.1-1: IoT network with monitoring data collection**
An IoT network is a network of devices, each of which almost always has limited computational capabilities and consumes a low amount of power. The exact purpose of these device varies, but they are all connected to an NMS, and often to each other and to an IoT buisness logic, which may be a RDPS. The main focus of an IoT network is almost always data collection, and the NMS in this use case usually visualises the collected data metrics and provides them to the end-user. The NMS-analysis of the data metrics can be automated, including triggering warnings, alarms, or even taking actions based on discovered abnormal events.
An IoT network is a network of devices, each of which almost always has limited computational capabilities and consumes a lower amount of power. The exact purpose of these device varies, but they are all connected to a NMS, and often to each other and to an IoT business logic, which may be a RDPS.
It is not uncommon that the business logic and the NMS for the purpose of this document is offered as an ecosystem.
An IoT network is a network of devices, each of which almost always has limited computational capabilities and consumes a low amount of power.
The exact purpose of these device varies, but they are all connected to an NMS, and often to each other and to an IoT business logic, which may be a RDPS.
The main focus of an IoT network is almost always data collection, and the NMS in this use case usually visualises the collected data metrics and provides them to the end-user.
The NMS-analysis of the data metrics can be automated, including triggering warnings, alarms, or even taking actions based on discovered abnormal events.
It is not uncommon that the business logic and the NMS for the purpose of this document is offered as a full ecosystem.
The main focus of an IoT network can be, but is not limited to, data collection.
The NMS in this use case usually visualises the collected data metrics and provides them to the end-user and provides a way to make actions based on the data.
