Inspired by nature, swarm intelligence algorithms are being applied to manage vast networks of streetlights or office lights. In this model, each luminaire is an autonomous «agent» with simple rules (e.g., maintain minimum light level, communicate with neighbors). Through local interactions, the entire network self-organizes to achieve global goals, such as creating uniform illumination along a road or guiding people along an exit path. This decentralized approach is highly robust (failure of one node doesn’t crash the system) and scalable. It enables emergent, adaptive behaviors that are difficult to program centrally, making large-scale lighting networks more resilient and intelligent.
