Centralized vs Distributed Inference Phenomenon Phenomenon S-1 S-2 SN S-2 IS-N Decision 1 Decision n usion center Decision 1 Decision n Global Decision Centralized inference e Distributed inference All the sensor signals are assumed Distributed processing to be available in one place for Decision rules, both at the local processing sensors and at the fusion center, Each detector acts independently are based on system wide joint and bases its decision on likelihood optimization ratio test (Lrt) Centralized Inference  All the sensor signals are assumed to be available in one place for processing  Each detector acts independently and bases its decision on likelihood ratio test (LRT)  Distributed Inference  Distributed processing  Decision rules, both at the local sensors and at the fusion center, are based on system wide joint optimization Phenomenon S-1 S-2 S-3 S-N Fusion Center y1 y2 y3 yN u0 u1 u2 u3 uN Local Decision 1 Local Decision N Global Decision Phenomenon S-1 S-2 S-3 S-N y1 y2 y3 yN u1 u2 u3 uN Decision 1 . . . . . Decision N . . . . . . . . .