The entire cluster has a head. Even though there are more clustering algorithms proposed for ad hoc networks in the literature, the main aim is to form stable clusters of mobile nodes [2]. Different methodologies are applied for the stability of a node and its reachability without considering issues such as network longevity and coverage in the design goals of WSNs. Now, different techniques for clustering have been particularly modeled for WSNs, as discussed in [3]. Based on the node deployment and bootstrapping methodology, the proposed clustering methodology varies, and it is used in the network's structural and operational design and its features [4]. In a cluster, the sensor can select the cluster head (CH) or be pre-assigned by the network designer. The CH is the one with higher resources. The membership of a cluster may change or be fixed. The cluster head can act as a next tier, or it may transfer the data to the base station or command center [5]. Furthermore, clustering has an advantage in terms of network scalability. It can restrict the route set up inside the cluster, which is noted for each node to reduce the routing table size [6]. The bandwidth used for communication can be preserved by clustering through restricting the inter-cluster communication and communicating redundant messages between sensor nodes. Clustering applied at the sensor level stabilizes the network topology and also reduces the maintenance overhead. Even though the cluster head and sensors nodes are linked, when there is a change in the inter-cluster tier level, it does not cause any effect on the cluster construction, as explained in [7]. The optimal cluster head can improve and optimize the network operation as well as the sensor's battery lifetime, which in turn improves the lifetime of the network, as stated by [PERSON] et al. [8] and [PERSON] et al. [9]. The Internet of Things (IoT), which is built on a layered architecture, permits Internet communication between physical items that are connected to different types of networks [10]. The layers in this design accommodate each other's requirements, and the way in which they communicate with one another influences not just their own performance but also that of the entire network [11]. To a considerable extent, the actualization of the Internet of Things will be determined by a variety of factors, including system design, networks and communications, data processing and ubiquitous computing technologies, dependability, and both physical and cyber linkages [12]. Networking, and more specifically network routing, is the primary power behind the Internet of Things and is what makes it possible for devices to connect with one another [10]. This comprises the creation of traffic routes as well as the movement of packets across the network from their point of origin to their eventual destination. In the Internet of Things, the physical layer is responsible for providing support to the sensor networks. Because of this, the need for communication between the many IoT devices and the wireless sensor network is one of the challenges of the IoT. Self-organizing wireless sensor networks are networks that have a high number of nodes which are dispersed throughout a single place. These nodes are accountable for obtaining the required data and sending them to a node in the network, which is known as a base station. Sensor networks, the most important subset of the Internet of Things sets, are unique from other distributed systems because of the limits and problems involved in routing. In the Internet of Things ecosystem, one of the issues is minimizing the amount of power that is consumed across the network while simultaneously routing data between devices. Therefore, in most Internet of Things networks, various protocols such as hierarchical protocols can be employed to limit the amount of energy that is consumed. Clustering techniques have also been utilized in these networks.