The paper addresses the issue of the send-on-delta data collecting strategy tocapture information from the environment. Send-on-delta concept is the signal-dependenttemporal sampling scheme, where the sampling is triggered if the signal deviates by deltadefined as the significant change of its value. It is an attractive scheme for wireless sensornetworking due to effective energy consumption. The quantitative evaluations of send-on-delta scheme for a general type continuous-time bandlimited signal are presented in thepaper. The bounds on the mean traffic of reports for a given signal, and assumed samplingresolution, are evaluated. Furthermore, the send-on-delta effectiveness, defined as thereduction of the mean rate of reports in comparison to the periodic sampling for a givenresolution, is derived. It is shown that the lower bound of the send-on-delta effectiveness(i.e. the guaranteed reduction) is independent of the sampling resolution, and constitutes thebuilt-in feature of the input signal. The calculation of the effectiveness for standard signals,that model the state evolution of dynamic environment in time, is exemplified. Finally, theexample of send-on-delta programming is shown.