Disclosed in the present invention are an age-of-sensing analysis and optimization method for a
wireless power supply sensor network. The method comprises the following steps: S1, determining a
network model; S2, determining a MAC layer model; S3, determining a channel model; S4, on the basis of a multi-segment formula, fitting a nonlinear energy-receiving model, and calculating the decoding success probability of a single sensor; S5, calculating the possibility of information being successfully received in a
fusion center under a sensing information requirement threshold; S6, using a
hypothesis testing theory to model a fusion-sensing
reliability model, so as to obtain the probability of credible fusion; S7, by means of a joint sensing-transmission success possibility, acquiring a closed-
form expression of age of sensing, and formulating an information timeliness
optimization problem; and S8, respectively optimizing a sensor power supply duration, a fusion information demand threshold, and sensor deployment, so as to give a minimum age of sensing. By means of the present invention, age of sensing is optimized on the basis of the analysis thereof, thereby improving the timeliness of sensing information.