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A Method for Determining Access Node of Microwave Relay Network Based on Genetic Algorithm

机译:一种基于遗传算法的微波继电器网络的接入节点确定方法

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In order to improve the deployment efficiency of the microwave relay network, a method for determining access node of microwave relay network based on genetic algorithm is proposed in this paper. System analysis of network structure characteristics, node attributes and deployment process, the access node deployment issues is transformed into continuous area location issues. After discretization the area, the set of candidate access nodes is obtained considering boundary points and boundary chords. Comparing the coverage set of each access node, the candidate set is de-redundancy. Then taking coverage ratio maximum and the deployment cost minimum as the optimization goal, the optimal set of access nodes is obtained from candidate set by using genetic algorithm. A case with 50 user terminals is simulated by our method. Results show that after de-redundancy and genetic algorithm calculation, the number of access nodes is optimized from 240 to 17, and only 9 user terminals are repeated covered by different access node.
机译:为了提高微波继电器网络的部署效率,本文提出了一种基于遗传算法确定基于遗传算法的微波继电器网络的接入节点的方法。网络结构特征的系统分析,节点属性和部署过程,接入节点部署问题被转换为连续区域位置问题。在离散化之后,考虑边界点和边界和弦,获得一组候选访问节点。比较每个接入节点的覆盖集,候选集是去冗余。然后采用覆盖率最大值和部署成本最低,作为优化目标,通过使用遗传算法从候选集合获得最佳的访问节点。使用我们的方法模拟了50个用户终端的情况。结果表明,在去冗余和遗传算法计算后,接入节点的数量从240到17进行了优化,并且只有9个用户终端被不同的接入节点覆盖。

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