Fire tracking with collective intelligence using dynamic priority maps

This paper describes a swarm control algorithm based on distributed pheromone maps to effectively track a moving fire front. The algorithm uses a single heuristic to maintain persistent surveillance to detect new fires, while concurrently allowing for tracking of known fires. Control of the swarm is fully distributed and self-contained; requiring no external communication infrastructure and being resilient to individual hardware failures.