1. A sensing system, comprising: a set of sensors, of which at least one sensor stores one or more measurement models for a parameter corresponding to a phenomenon; and a data-fusing mechanism coupled to at least one sensor in the set of sensors; wherein at least one sensor is configured to sample a measurement value and generate a likelihood function based on the sampled measurement and the measurement model; and wherein the data-fusing mechanism is configured to collect the at least one likelihood function generated by the at least one sensor and use the collected likelihood functions to compute an aggregate probability of a phenomenon state.