An Empirical Cluster Head Selection and Data Aggregation Scheme for a Fault-Tolerant Sensor Network

Abstract

In order to improve the sensor network, the nodes resources should be used in a well-organized way. The new cluster-based routing protocols and data aggregation approach have helped to increase the lifespan of the network. The methods of data aggregation eliminate the network's redundant data packets, which extends the lifetime of the network. A fault tolerant cluster head selection and data aggregation scheme (FT-CHSDA) that performs node clustering and data aggregation in the network is demonstrated in this study. The suggested method uses the energy level of the node to pick the most energy-efficient node as the head of the cluster and executes data aggregation to reduce redundant data packets. In addition, the use of a concept called backup node in a cluster has implemented a novel method to make the network accessible and run without any interruption. In the NS2 simulator, the simulation of the proposed scheme (FT-CHSDA) is being discussed. Using different performance metrics to assess its effectiveness, the proposed scheme (FT-CHSDA) is contrasted with existing proto-cols.