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An advancement made in wireless technologies has developed a greater impact over the Internet of Things (IoT) systems. Clustering is one of the efficient approaches that connects and organizes the sensor nodes by balancing the loads and maximizing the lifespan of the network. This paper presents an Energy-Efficient Hybrid Hierarchical Clustering Algorithm that performs the characteristics of static and dynamic clustering formation. The proposed algorithm performs by two processes, viz, a) cluster head selection using fuzzy C-Mean (FCM) approach and shortest route path finding using Reliable Cluster-based Energy-aware Routing protocol. The main characteristics is the improvement done in the cluster formation and selection. The designed protocol is simulated using a programming language, NS2 and the performance measures studied are packet delivery ratio, end-to-end delay, and energy …