Satellite Internet of Things routing strategy based on Q-Learning
A technology of the Internet of Things and satellites, applied in network topology, data exchange network, digital transmission system, etc., can solve the problems of difficult routing algorithms and inapplicable routing algorithms of ground networks, and achieve good conversion application prospects, average delay and good cost effect
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[0036] The technical solution of the present invention will be further described in detail below in conjunction with the accompanying drawings.
[0037] The overall framework of the embodiment of the present invention can be found in figure 1 , the present invention proposes a Q-Learning-based satellite Internet of Things routing strategy, regards the Satellite Internet of Things as an environment for reinforcement learning, satellites in the Satellite Internet of Things are used as satellite nodes, sensors and data centers are used as ground nodes, and each node can meet The nodes of the network are neighbor nodes, and satellite nodes forward data packets through store-carry-forward, which can achieve efficient routing in complex environments, and have better results in terms of delivery rate, average delay and overhead. The specific steps of the embodiment of the present invention are:
[0038] Step 1: Initialize the satellite IoT parameters.
[0039] The parameters that n...
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