| 基于能耗奖励策略机制的深空网络优化算法研究 |
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| 引用本文：李俊，李养胜.基于能耗奖励策略机制的深空网络优化算法研究[J].计算技术与自动化,2025,(3):6-11 |
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| 中文摘要:为解决深空通信存在的数据投递效率不高，网络转发能力不强及网络时延严重等不足，提出了一种基于能耗奖励策略机制的深空网络优化算法。首先，引入节点间能耗博弈模型，设计了一种基于泛洪路由策略的数据投递机制，待传输数据即将启动发送流程时，当前节点将依据自身能量的剩余状态来制定相应的投递操作，以降低节点能耗和减少网络数据重传输现象。随后，利用节点策略博弈模型来优化数据投递操作，通过对成功投递数据的中间节点予以一个单位的奖励，改善节点转发时的能量消耗。仿真实验表明：与深空通信常用的能量优化评估算法和时延容忍度优化算法相比，本文算法具有更高的数据投递率、更低的网络时延和更短的数据存储时间，具有很好的深空通信能力。 |
| 中文关键词:深空通信；能耗奖励；能耗博弈 数据重传输；策略博弈 |
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| Research on Deep Space Network Optimization Algorithm Based on Energy Consumption Reward Strategy Mechanism |
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| Abstract:In order to solve the shortcomings of low data delivery efficiency, weak network forwarding capability, and severe network latency in deep space communication, a deep space network optimization algorithm based on energy consumption reward strategy mechanism is proposed. Firstly, an energy consumption game model between nodes is introduced, and a data delivery mechanism based on flood routing strategy is designed. When the data to be transmitted is about to start the sending process, the current node will formulate corresponding delivery operations based on its remaining energy state to save node energy consumption and reduce network data retransmission. Subsequently, a node strategy game model is used to optimize data delivery operations, by rewarding intermediate nodes that successfully deliver data with a unit to improve energy consumption during node forwarding and achieve the goal of improving data forwarding efficiency. Simulation experiments show that compared with commonly used energy optimization evaluation algorithms and delay tolerance optimization algorithms in deep space communication, the algorithm proposed in this paper has higher data delivery rate and lower network delay, as well as shorter data storage time, which has excellent deep space communication capabilities. |
| keywords:deep space communication energy consumption energy consumption game data retransmission strategic game theory |
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