📡 IoT Sensor Network: Bandwidth & Congestion (2D)

This 2D companion drives the exact same queueing model as the 3D version — throughput = sensors × rate (capped by bandwidth), load% = throughput ÷ capacity, and latency that climbs sharply once load crosses 60% — but reads top-down instead of orbiting a scene: sensor nodes ring a central cloud hub, glowing packets bow outward as they travel node-to-hub, and admission becomes probabilistic once demand outruns the bandwidth cap, so packets you don't see arrive are the ones the drop counter is counting. A scrolling strip chart beneath the ring plots network load over the last several seconds against a 100% reference line, making the moment congestion sets in — and how it eases once you back the sliders off — directly visible instead of only numeric.