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首页> 外文会议>International Symposium on Wireless Systems within the Conferences on Intelligent Data Acquisition and Advanced Computing Systems >A Node Deployment Optimization Method of WSN Based on Ant-Lion Optimization Algorithm
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A Node Deployment Optimization Method of WSN Based on Ant-Lion Optimization Algorithm

机译：基于蚁群算法的无线传感器网络节点部署优化方法

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摘要

Node deployment optimization is one of the application points of wireless sensor networks (WSN), and it is also a hot topic that scholars have studied in recent years. Aiming at the problems that exist in WSN node deployment, such as uneven distribution of nodes and incomplete coverage, this paper proposes an optimization method for WSN node deployment based on ant-lion optimization algorithm. Firstly, this paper establishes a mathematical model to cover the target area with WSN nodes. Then, the optimization problem of node deployment is transformed into the problem of finding the maximum value of the function. Finally, the ALO algorithm is used to obtain the optimal solution of node deployment. The experimental results show this method works well in optimizing the deployment location of WSN nodes, and can increase the overall network coverage rate.
机译：节点部署优化是无线传感器网络（WSN）的应用点之一，也是近年来学者研究的热点话题。针对WSN节点部署中存在的节点分布不均，覆盖范围不完整等问题，提出了一种基于蚁群优化算法的WSN节点部署优化方法。首先，建立了一个用WSN节点覆盖目标区域的数学模型。然后，将节点部署的优化问题转化为寻找函数最大值的问题。最后，使用ALO算法获得节点部署的最佳解决方案。实验结果表明，该方法在优化WSN节点的部署位置方面效果良好，可以提高整体网络覆盖率。

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