This paper mainly studies the deployment of wireless sensor network nodes in the warehouse environment monitoring system, discusses the deployment algorithm of wireless sensor network nodes in the warehouse environment, and finds out the node deployment scheme with better network performance through comparison. Wireless sensor network node deployment is the basis of wireless sensor network application in storage environment monitoring system. It affects the performance of the whole network and is the primary problem to be solved in network application. This paper discusses the advantages of wireless sensor network in the monitoring of storage environment, especially the deployment and simulation analysis of sensor nodes in the warehouse environment. Aiming at the influence of sensor perception model on the effectiveness of the node deployment plan, this paper proposes a node deployment collaborative perception model based on 0-1 perception model and exponential model. The sensor node deployment problem is transformed into a three-dimensional node deployment problem. Finally, the algorithm is applied to tobacco storage environment. In order to verify the effectiveness of the proposed algorithm, the scheme obtained by the proposed algorithm is compared with that obtained by the corresponding deployment algorithm in this paper. The comparison results show that the overall performance of the algorithm is better than that of the usual scheme.

中文翻译：

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仓库环境监控系统中无线传感器网络中节点部署的分析

本文主要研究了仓库环境监控系统中无线传感器网络节点的部署，讨论了仓库环境中无线传感器网络节点的部署算法，并通过比较得出了具有较好网络性能的节点部署方案。无线传感器网络节点的部署是无线传感器网络在存储环境监控系统中应用的基础。它影响整个网络的性能，是网络应用中要解决的主要问题。本文讨论了无线传感器网络在存储环境监控中的优势，尤其是在仓库环境中传感器节点的部署和仿真分析。针对传感器感知模型对节点部署计划有效性的影响，提出了一种基于0-1感知模型和指数模型的节点部署协同感知模型。传感器节点部署问题被转换为三维节点部署问题。最后，将该算法应用于烟草贮藏环境。为了验证该算法的有效性，将本文提出的算法与相应的部署算法进行了比较。比较结果表明，该算法的总体性能优于常规方案。该算法适用于烟草储藏环境。为了验证该算法的有效性，将本文提出的算法与相应的部署算法进行了比较。比较结果表明，该算法的总体性能优于常规方案。该算法适用于烟草储藏环境。为了验证所提算法的有效性，将所提算法与相应的部署算法进行了比较。比较结果表明，该算法的总体性能优于常规方案。