Robust Distributed Detection with Limited Range Sensors

We consider a multi-target detection problem over a sensor network (SNET) with limited range sensors and communication constraints, which complements the decentralized detection problem where all sensors observe the same target. We consider sensing models where the signal power from targets undergoes a power-law decay. The task is to determine the locations of the targets while minimizing false alarms and communication between sensors. We extend the well-known FDR framework to solve the multi-target detection problem.