Multi-Agent Research Laboratory

Configure a student population, Nigerian environment, and network instability profile — then run the simulation to see how CEICS performs at scale. Adjust parameters live during a running simulation.

ALERT LATENCY (ms)
DETECTION ACC (%)
0
TOTAL ALERTS
PACKET LOSS (%)
GW CPU LOAD (%)

Wearable node status

Active Alert Warning Offline

Geographic distribution

Abuja Borno Lagos Sambisa
Environment: URBAN — Abuja metropolitan

Markov network state machine

FULL
55%
CONGESTED
25%
OUTAGE
12%
SATELLITE
8%
→0.35→0.20→0.40←0.60

gateway CPU load

Live alert latency stream

Live alert feed

[ press START LAB to begin simulation ]

Anomaly class distribution

Normal Fall Seizure Exit Distress

System performance vs load

Alert latency
Detection accuracy
Gateway CPU utilisation
Packet loss rate
Satellite fallback usage
Privacy enforcement
100%

scalability — latency vs population size

network state time distribution (live)

IDLE — configure and press START LAB
T+00:00
ENV:URBAN
NODES:150