Poster: Emergency-Aware TSCH Scheduling for High-Density Low-Power and Lossy Networks

High-density Low-Power Lossy Networks (LLNs) for IoT applications (e.g., smart cities) require ultra-low latency during emergencies like fires. Current TSCH schedulers (Orchestra, OST) use static/hash-based allocation, causing high delays and collisions for urgent traffic due to lack of prioritization and conflict resolution. In this paper, we present ETS, an emergencyaware scheduler featuring: (1) Binary-tree resource partitioning with preemption, (2) Slot-segmented RTS/CTS conflict avoidance, and (3) Multi-sink load balancing. Evaluations show ETS reduces latency by 23-42%, maintains 95% PDR, and lowers duty cycle by 37−52% versus baselines.