Distributed Intelligent Systems: Acoustic Field Estimation

This lecture covers the estimation of an acoustic field using wireless sensor networks. Topics include hierarchical topology, quadtree structure, distributed control using state machines, threshold-based pruning, experimental setups with e-puck robots, spatiotemporal data suppression, in-network power monitoring, and energy-efficient reporting strategies. The instructor discusses the challenges of implementing AI techniques in real systems and the trade-offs between robustness and efficiency.