IoT-Enabled Distributed Detection of a Nuclear Radioactive Source via Generalized Score Tests

摘要: A decentralized detection method is proposed for revealing a radioactive nuclear source with unknown intensity and at location, using number of cheap radiation counters, to ensure public safety in smart cities. In the present case, sensors nodes record an (unknown) emitted Poisson-distributed count rate decreasing sensor-source distance (which unknown), buried known Poisson background Gaussian measurement noise. To model energy-constrained operations usually encountered Internet Things (IoT) scenario, local one-bit quantizations are made each sensor over period time. The bits collected via error-prone binary symmetric channels by Fusion Center (FC), which has task achieving better global inference. considered leads one-sided test parameters nuisance (i.e., position) observable solely case \(\mathcal {H}_{1}\) hypothesis. Aiming reducing higher complexity requirements induced generalized likelihood ratio test, Davies’ framework exploited design form locally optimum optimization thresholds (resorting heuristic principle) proposed. Simulation results verify approach.