1. A sensing system, comprising: a set of sensors, each storing at least one measurement model for detecting a phenomenon state, wherein a respective sensor samples a measurement value; a data-fusing mechanism coupled to the sensor, which stores a first measurement model as P(Z=z|X=x), wherein Z corresponds to the measurement value and X corresponds to a first phenomenon state under investigation, and wherein the data-fusing mechanism collects likelihood functions generated by the set of sensors, and computes an aggregate probability of a second phenomenon state based on ∏ i = 1 n ⁢ P ⁡ ( Z i = z i ❘ X = x ) which corresponds to a product of a number of n likelihood collected from the sensors.