Title: Improved green wireless sensor network using modified prediction oriented distributed clustering

Authors: Pranati Mishra; Ranjan Kumar Dash

Addresses: Department of Computer Science and Engineering, Odisha University of Technology and Research, Bhubaneswar, Odisha-751003, India ' Department of Computer Science and Application, Odisha University of Technology and Research, Bhubaneswar, Odisha-751003, India

Abstract: In this paper, an improved clustering protocol is suggested for WSNs, in which a new cluster head strategy for non-uniformly distributed nodes and network lifespan is introduced. The network follows a mess topology of wireless sensor nodes that report to a main station for observation and study. Geographical and contextual analysis and visualisations are provided. It is considered as a green network because the overall network consumes less energy. Main application of this research work includes data observation and communication of data to the base station. It includes multi-level node clustering to efficiently save energy at multiple levels. Priorly the PODC algorithm shows the optimised result in comparison to EADC and SA-EADC algorithm. In this work improved PODC works with the additional multilevel clustering. The result shows the improvement in network lifetime and energy dissipation among sensor nodes, and it is observed that the proposed improved PODC performs far better than them. Therefore, it can be safely concluded that proposed protocol improves the network life span while maintaining original sensing coverage level for the network.

Keywords: green network; improved PODC; EADC; SA-EADC; multilevel clustering.

DOI: 10.1504/IJCVR.2024.140832

International Journal of Computational Vision and Robotics, 2024 Vol.14 No.5, pp.571 - 588

Received: 22 Oct 2022
Accepted: 20 Jan 2023
Published online: 03 Sep 2024 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article