1. The document discusses localized algorithms for self-organized wireless sensor networks and analyzes the Algorithm for Cluster Establishment (ACE). ACE is an emergent algorithm that allows nodes to assess their potential as cluster heads and step down if another node is better. 2. ACE works through iterations of spawning new clusters and migration of existing ones. Migration selects the best candidate cluster head based on number of followers. Parameters like the spawning threshold function are also discussed. 3. The performance of ACE is evaluated through simulations comparing average cluster size and standard deviation for different parameters and iterations. Figures and tables show the clustering process and outputs of sensor nodes for different data sets.