The invention relates to the technical field of
Internet of Things communication, and provides a low-power-consumption
semiconductor communication method based on
Internet of Things, which comprises the following steps: acquiring temperature,
electromagnetic interference intensity and
signal attenuation coefficient data through a multi-mode
sensor node, and generating an original environment
data set; performing
dynamic noise classification on the original environment
data set, dividing
noise levels and marking
noise types; performing hierarchical
processing on the data by adopting a multi-stage self-adaptive
noise reduction
algorithm to generate a preprocessed
data set; extracting dynamic characteristic parameters of a
communication channel, constructing an energy efficiency prediction model, and dynamically calculating a combination of optimal transmitting frequency, power and
modulation order; generating a multi-
system modulation
signal, superposing a dynamic coding strategy, and adjusting the symbol block length and the error
correction code density; and the receiving end analyzes the
signal quality index, feeds back the
signal quality index to the transmitting end to optimize the parameters and updates the energy efficiency prediction model. According to the invention, the energy efficiency ratio and the anti-interference capability of
the Internet of Things communication
system can be improved.