Background & Challenge

In a traditional 2.4GHz Mesh network with application-layer development for road studs (digital road markers), the system must detect approaching vehicles and trigger lighting responses in real time. However, conventional centralized communication introduces critical latency issues:

• Data collection – The system can only communicate with one device at a time. Polling 100 devices takes >2 seconds.
• Decision distribution – Sending control commands back to all devices takes >3 seconds.

Total latency exceeds 5 seconds, making real-time vehicle detection and response impossible.

The Chain Communication Solution

To solve this, each road stud is equipped with edge computing capability and connected in a daisy‑chain (hand‑in‑hand) topology. Key features:

• Perception source – Every device senses vehicle presence and shares this data across the entire network.
• Periodic exchange – Each stud transmits its vehicle detection status and lighting decision to adjacent devices every 20ms.
• Distributed decision making – Every device compares its own sensed data with information received from neighbors, then applies a priority-based rule to determine its own lighting behavior in real time.
• Rolling refresh – The entire network state and all lighting decisions are refreshed every 20ms.

Technical Advantages



By eliminating the need for a central coordinator to collect data and issue commands, chain communication reduces latency dramatically and enables real‑time distributed edge computing across 100+ devices.

Summary

Chain communication turns a group of individually sensing road studs into a collaborative real‑time system. Devices share local decisions with neighbors every 20ms, and each stud computes its own output based on combined local and adjacent information. The entire network continuously refreshes its state at 50 Hz, meeting the stringent latency requirements of vehicle‑proximity detection and dynamic lighting control.

For more information of ClairSRS Solar Stud: https://bit.ly/3U2T6Mo