A survey on clustering protocols in wireless sensor network: taxonomy, comparison, and future scope

Abstract

The wireless sensor network is growing as a powerful technology in various domains. The applications of wireless sensor networks are increasing rapidly and providing services to different sectors. The nodes employed in the sensor networks are outfitted with restricted battery power and the proper management is required for the utilization of the limited sensor energy. The clustering protocols in sensor networks are designed for handling the energy issue in the network. The clustering protocols proposed in the past has used different techniques and ideas for improving the network lifetime and performance. In order to provide a quick and easy understanding of the key aspects of any domain surveys are very helpful. Keeping this viewpoint in mind, this paper focuses on providing a survey for the clustering protocols which can help the researchers in getting a comprehensive overview of the different aspects of the clustering techniques. In this survey, the clustering protocols are classified on the basis of their clustering methodologies and working capabilities into three categories: traditional clustering protocols, fuzzy logic based clustering protocols, and heuristic based clustering protocols. The protocols of different categories are compared by employing the feature based, methodology based, and performance based comparison parameters to help the researchers in getting an easier understanding of different clustering concepts.

A Robust Netrosophic Clustering Based Raven Routing Optimization to Alleviate Void Hole and Energy Depletion in IoT WSN

“…3. Netrosophic Clustering: Netrosophic clustering is a fuzzy clustering algorithm that can handle uncertainties and vagueness in the data [3]. The netrosophic clustering algorithm can be implemented using the following steps:…”

“…The objective of clustering is to partition the sensor nodes into distinct groups or clusters, followed by the designation of a cluster head or gateway node for each group to execute data aggregation and forwarding. Numerous clustering algorithms have been suggested in scholarly works, including the Kmeans clustering algorithm [3] and the Particle Swarm Optimisation (PSO) clustering algorithm [8].…”

Multi-Sink Convergecast Protocol for Large Scale Wireless Sensor Networks

“…However, in large scale wireless sensor networks, where scalability is at stake, hierarchical techniques like clustering are indispensable. This scheme consists of grouping nodes around a leader referred to as the Cluster Head (CH) [10]. The latter may be chosen randomly or not; but often according to different criteria (energy level, degree, location, etc.)…”

Trust Aware Secured Energy Efficient Rule based Fuzzy Clustering Protocol with modified Sun Flower optimization Algorithm in Wireless Sensor Networks

“…The intra-cluster communication takes place between CM to its own CH via single hop and inter-cluster communication takes place between CH to BS by using multi-hop via hierarchical clustering [4][5][6]. Formation of clusters in WSNs supports to improve the nodes energy and improves the QoS through aggregation of data and employing the communication using multi-hop improves scalability and reliability in WSNs.…”