IoT Data Analytics Simulator

A ring of connected IoT devices streams noisy sensor readings toward a central aggregator in real time. This simulator visualizes the full analytics pipeline: incoming packets travel from each device to the hub, a sliding window aggregates the last N readings into a live moving average and standard deviation, and a z-score anomaly detector flags any reading that strays too far from that rolling baseline — both on the traveling packets and on a scrolling waveform of the raw data stream. Adjust device count, window size, anomaly sensitivity and emission rate to see how each reshapes the trade-off between fast reaction and stable trend-following.