Wireless Sensor Networks (WSNs)-based networking systems introduces to transfer from traditional industry to digital industry, commonly known as the fourth stage of industrialization (Industry 4.0). The WSN is an encouraging technology for many industrial applications because of their several potential benefits. However, they impose several challenges when using them for various monitoring and control applications in the Industry 4.0. Improving lifetime and minimizing power consumption are the main challenges of wireless sensor networks. Solving this problem consist of optimizing node deployment, offering an energy-efficient routing protocol, and providing a clustering approach for sensor nodes in order to optimize battery utilization. Despite the fact that Cluster Head (CH) is overwhelmed with nodes traffic and dies quickly, in most studies, the choice of CH and the creation of clusters take into consideration only the value of residual energy in the sensor nodes, which causes an unequal load balance cluster. The purpose of this study is to propose an advanced clustering in wireless sensors networks, that takes into account not only the value of the residual energy but also the degree of connection, the distance between the CH and other network nodes and the antenna orientation. Besides, a drone routing approach based on artificial intelligence is adapted for data collection to overcome the problem of hot spot. The proposed approach is compared with existing clustering methods such as LEACH, LEACH-C, and LEACH-B that are designed for fixed WSNs. The results of simulations obtained depict that clustering algorithm with optimized routing significantly improves the network lifetime.

基于无线传感器网络（WSN）的网络系统引入了从传统工业到数字工业的转移，通常被称为工业化的第四阶段（工业4.0）。由于其潜在的好处，WSN对于许多工业应用都是令人鼓舞的技术。但是，在将它们用于Industry 4.0中的各种监视和控制应用程序时，它们会带来一些挑战。延长使用寿命并最小化功耗是无线传感器网络的主要挑战。解决此问题包括优化节点部署，提供节能路由协议以及为传感器节点提供群集方法以优化电池利用率。尽管大多数研究表明，簇头（CH）被节点流量淹没并且很快死亡，CH的选择和群集的创建仅考虑传感器节点中的剩余能量值，这会导致负载平衡群集不相等。这项研究的目的是提出一种无线传感器网络中的高级群集，该群集不仅要考虑剩余能量的值，还要考虑连接程度，CH与其他网络节点之间的距离以及天线方向。此外，基于人工智能的无人机路由方法也适用于数据收集，以克服热点问题。将该提议的方法与专为固定WSN设计的现有聚类方法（如LEACH，LEACH-C和LEACH-B）进行了比较。仿真结果表明，采用优化路由的聚类算法可以显着提高网络寿命。