This invention relates to the field of
smart gateway technology, specifically disclosing an
artificial intelligence-based
smart gateway optimization method. The method involves initializing channel quality
estimation parameters and setting an uncertainty threshold; sending probe frames to candidate channels during idle periods of service data, and receiving response results as quality samples; extracting
received signal strength indication values from the samples and assigning a probe confidence coefficient; updating the quality
estimation parameters with weighted probe results using
Bayesian inference; calculating the expected performance value of each channel based on the updated parameters; generating a switching command when the cumulative number of times the
current channel is continuously inferior to the best candidate channel reaches a threshold and the performance difference exceeds an uncertainty threshold; executing channel switching and resetting the cumulative count; and dynamically adjusting the subsequent probe frequency according to the
service load. This invention enables adaptive channel optimization while ensuring service continuity, improving the communication reliability of smart gateways in complex environments.