Method for selecting relay node in M2M communication based on reinforcement learning
A technology of relay node and reinforcement learning, which is applied in the field of relay node selection and relay node selection in M2M communication, can solve problems such as energy imbalance and shortening the service life of the system, so as to prolong the service life, avoid energy imbalance and reduce energy The effect of consumption
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[0059] The present invention discloses a method for selecting a relay node in M2M communication based on reinforcement learning. The solutions of the present invention will be further described below in combination with embodiments.
[0060] The overall idea of the present invention is as follows: Utilizing the characteristics of low mobility of M2M communication equipment, according to the channel conditions from each relay node to M2M communication equipment and the channel conditions from source node to each relay node, the method of decoding and forwarding (Decode and Forward) is adopted Calculate the energy consumed by selecting each relay node in a single communication. Then the selection of the relay node is taken as the action in the reinforcement learning, and the energy consumed by a single communication is combined with the balance of the battery energy of each relay node as the reward in the reinforcement learning. Taking the remaining battery energy of each rela...
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