An Efficient Big Data Gathering in Wireless Sensor Network using Reconfigurable Node Distribution Algorithm

Abstract

In recent days, communication process is performed in wireless sensor networks (WSNs). The WSN is effectively reconstructed and accurately communicates the information to each corner of high-density nodes of cellular area. The main objective of this paper is to improve the data gathering of all sensor nodes and efficiently optimize the energy utilisation of each node in WSNs. The cluster head is identified in highly node distributed WSNs. The sink nodes during big data gathering are effectively utilized in WSNs with the help of Reconfigurable Node Distribution Algorithm (RNDA). The proposed algorithm procedure has been followed to address the big data gathering location in WSNs and mobilize the sink nodes in optimized location for proper communication in WSNs. The performance analysis and comparison between proposed and existing methods have been carried out with respect to energy efficiency, packet delivery ratio, packet ratio and transmission energy. The simulation result shows that the proposed method reduces energy consumption by 2 % in high density sensor node network communication process. The proposed method effectively selects the cluster head in WSNs to enhance the throughput packet delivery ratio and transmission energy.