Rekkas, E.E.RekkasMerentitis, A.A.MerentitisYaron, O.O.YaronMarkris, A.A.MarkrisLewis, T.T.LewisSchuster, M.M.SchusterKaloxylos, A.A.KaloxylosLewis, T.2022-03-072022-03-072011https://publica.fraunhofer.de/handle/publica/295755This deliverable covers energy awareness mechanisms from a system-level perspective. It explores four techniques: Petri-net models for energy simulation, system idle time estimation, non-intrusive aggregation algorithms and a real world testbed for measuring sensor battery discharge characteristics. All techniques report on the scope for energy optimisation.enSelf GrowingEnergy AwarenessAutonomic Networking004report