Graphs + Sensors = The Internet of Connected Things
Talkat Embedded Linux Conference + OpenIoT Summit North America 2017 · on Wednesday, 2017-02-22· at 16:20· Galleria North·
summary
Graphs provide actionable context for streaming sensor data by letting you model topology, dependencies and neighbors rather than lone readings. Uses Neo4j with Cypher pattern matching and direct Shodan CSV import to demo: 18 sensors on 4 APs with 4 sensors offline, traversal finds shared AP as the failure point and a blast‑radius traversal shows all impacted devices. Pipelines example pairs Kafka + Apache Storm for anomaly detection, then verifies anomalies via adjacent sensors and can reroute flow; demo queries return 32 devices in Portland.
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