Report: Analyzing IoT device performance

Telenor Connexion has combined real-time traffic monitoring with data analytics for IoT devices and networks to reduce the risk of signaling congestion and improve operational performance.

A small number of poorly configured connected devices can cause a signaling storm, degrading an IoT network’s performance and, in the worst case, resulting in a network blackout.

Across the globe, a multitude of different IoT devices are being deployed and connected by mobile networks. Signaling storms triggered by aggressive connected devices negatively affect IoT network congestion and performance. To avoid this, control plane data from devices, as well as the networks they connect to, needs to be monitored, analyzed and managed in real-time. Improving reliability is also a pre-requisite to enable collection, processing and analytics of user plane data generated by connected devices.

“Analyzing IoT device performance” is an extract from the Ericsson Mobility Report, which was made by Ericsson in cooperation with Telenor Connexion. Click to download here.

Advanced Real-time troubleshooting Tool Set (ARTS)

ARTS is a cloud-based network connectivity analytics tool designed specifically for connected IoT devices. It can be accessed via a web interface by an enterprise customer support or operations team, providing real-time insights into the performance of IoT devices and networks based on big data analytics techniques and domain-centric data models. It also offers predictive analysis, identifying potential problems, based on patterns of network behavior to allow for faster and more efficient decision making.

Download this summary and read more about:

A small number of devices can create significant network problems
Using big data analytics to avoid network congestion
Monitoring IoT network KPIs
Predictive analysis by applying big data analytics

Analyzing IoT device performance (pdf)

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