Wireless Sensor Network (WSN) is a part of Internet of Things (IoT), and has been used for sensing and collecting the important information from the surrounding environment. Energy consumption in this process is the most important issue, which primarily depends on the clustering technique and packet routing strategy. In this paper, we propose an Energy efficient Hierarchical Clustering and Routing using Fuzzy C-Means (EHCR-FCM) which works on three-layer structure, and depends upon the centroid of the clusters and grids, relative Euclidean distances and residual energy of the nodes. This technique is useful for the optimal usage of energy by employing grid and cluster formation in a dynamic manner and energy-efficient routing. The fitness value of the nodes have been used in this proposed work to decide that whether it may work as the Grid Head (GH) or Cluster Head (CH). The packet routing strategy of all the GHs depend upon the relative Euclidean distances among them, and also on their residual energy. In addition to this, we have also performed the energy consumption analysis, and found that our proposed approach is more energy efficient, better in terms of the number of cluster formation, network lifetime, and it also provides better coverage.

无线传感器网络（WSN）是物联网（IoT）的一部分，已被用于感测和收集周围环境中的重要信息。这个过程中的能耗是最重要的问题，它主要取决于群集技术和数据包路由策略。在本文中，我们提出了一种基于模糊C均值（EHCR-FCM）的高效节能分层聚类和路由方法，该方法适用于三层结构，并且取决于聚类和网格的质心，相对欧几里得距离和剩余能量。节点。通过以动态方式使用网格和群集形成以及节能路由，此技术可用于能源的最佳利用。在此提议的工作中已使用节点的适应性值来确定它是否可以用作网格头（GH）或群集头（CH）。所有GH的分组路由策略取决于它们之间的相对欧几里得距离，还取决于它们的剩余能量。除此之外，我们还进行了能耗分析，发现我们提出的方法更加节能，在集群形成数量，网络寿命方面都更好，并且还提供了更好的覆盖范围。