The invention relates to the technical field of
network management, in particular to an
Internet of Things gateway control method and
system based on AI computing power, and the method comprises the following steps: obtaining channel real-
time signal intensity,
noise level and occupancy proportion, monitoring protocol type and transmission condition, analyzing the relationship between
retransmission times and interference, deducing protocol combination interference and
throughput, and obtaining a real-time channel
signal intensity,
noise level and occupancy proportion. And configuring an
optimal scheduling scheme, evaluating
resource consumption and load states, packaging and requesting permission entrustment, and judging permission information in combination with an interaction
record and an
access control list. According to the method, different protocol distribution combinations are simulated and deduced, the data
throughput of the whole network is further estimated and optimized, potential protocol conflicts are reduced, the use efficiency and the overall performance of network resources are effectively improved, consumption of a local computing unit and network bandwidth is comprehensively considered, packaging
processing of request information is optimized, and the
network performance is improved. And the real-
time response capability and manageability of the network state are obviously improved.