Glossary Updates12 new terms added to the glossaries · October 2, 2026, 22:44 CEST
AI TechDocKnowledge

Glossary · Data, timing and communication

Event-driven communication

Also known as: eventing, event-based communication

In systems engineering, event-driven communication is a communication pattern in which data is sent when a defined event or state change occurs, rather than at fixed intervals or on request.

  • Data and interfaces
  • Integrated systems

In one sentence

Event-driven communication sends data only when something changes; it is efficient, but silence must never be read as “nothing happened.”

Example

The PLC of a conveyor publishes a message when a jam sensor trips, and the line controller stops the upstream conveyors on receipt instead of polling the sensor every 100 ms.

How it applies

  • Integrated systems: Define exactly which events are sent, their payload, timestamp and ordering, and whether delivery is guaranteed. Lost and duplicated events are typical failure modes, so receivers should handle duplicates safely.
  • Functional safety: The absence of events is ambiguous: no change, or a lost connection? Combine events with heartbeat messages or a timeout so that a silent failure is detected.
  • Technical documentation: Event lists (name, trigger, meaning) are part of the interface documentation and must stay aligned with the state model.

Event-driven communication vs. polling

With polling, the receiver asks for the current value at intervals; with event-driven communication, the sender reports changes. Polling creates predictable load and detects dead links quickly. Events reduce traffic and delay when changes are rare. Many systems combine both.

By knowledge.aitechdoc.world · Published September 25, 2026 · Last reviewed

Source: AI TechDoc Knowledge editorial definition, based on systems engineering practice

Definitions follow the cited standards and specifications. Where a source is a copyrighted publication, such as an ISO, IEC or EN standard, the definition is a close paraphrase, not a verbatim quotation, so as not to infringe copyright. We recommend reading the original publication. The sections “How it applies” are editorial commentary by AI TechDoc Knowledge and are not part of any standard.

Seen a mistake? Send us a note!