Metrics and analytics

In many instances, IoT edge devices will be under service-level agreements or data caps when using metered data such as 4G LTE. In other situations, the edge router or gateway is a host of other PAN networks and IoT devices. It should serve as a central (but local) authority on the health of the PAN network/mesh. Metrics and analytics are useful for collecting and resolving connectivity and cost challenges, especially as the scale of IoT grows. Typical metrics and collections should include the following:

  • WAN uptime analytics: Historical trends, service levels
  • Data usage: Ingress, egress, aggregate, per client, per application
  • Bandwidth: Random or scheduled bandwidth analysis on ingress and egress
  • PAN health: Bandwidth, abnormal traffic, mesh reorganization
  • Signal integrity: Signal strength, site survey
  • Location: GPS coordinates, movement, location changes
  • Access control: Clients attached, administrator logins, router configuration changes, PAN authentication success/failure
  • Failover: Number of failover events, time and duration

These types of metrics should be collected and monitored on a scheduled and automatic basis. Additionally, advanced routers should be able to construct rules and alerts when certain events or abnormal behaviors are seen at the edge. 

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