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📡 Edge Computing Architecture for Smart Apiaries

Interactive 3D network diagram of hive sensors, an edge gateway and the cloud where toggling edge processing on or off changes simulated latency and bandwidth usage for hive monitoring data.

Ecology & Conservation Biology3DAdvanced60 FPS

A 3D network diagram links a ring of hive sensor nodes, a local edge gateway and the cloud — toggle edge processing on or off to see how it reshapes latency and bandwidth for hive monitoring data.

🔬 What It Demonstrates

With edge processing on, the gateway buffers and compresses sensor readings locally, making time-critical decisions instantly and only sending compact summaries to the cloud. Turn it off and every raw packet must travel the full round trip to the cloud before anything is decided.

🎮 How to Use

Toggle edge processing, then adjust the sensor count, sample rate, cloud link latency and aggregation window. Watch decision latency and cloud bandwidth respond live as packets flow through the 3D network.

💡 Did You Know?

Pushing anomaly detection to a local gateway can cut cellular data usage by an order of magnitude compared with streaming raw sensor logs, while still flagging events like sudden hive weight loss within seconds.

⚙ Under the hood

Interactive 3D network diagram of hive sensors, an edge gateway and the cloud where toggling edge processing on or off changes simulated latency and bandwidth usage for hive monitoring data.

edge-computingsmart-apiariesiot-architecturesensor-networksprecision-beekeepingecology

3D · Three.js / WebGL renderer · 60 FPS target · runs fully client-side, no install