Title: Network life-time maximisation with low-power consumption by the usage of ANFIS-based technique in wireless sensor networks

Authors: N. Srinivas Rao; K.V.S.N. Rama Rao

Addresses: Department of Computer Science and Engineering, KLEF Deemed to be University, Guntur, Andhra Pradesh, India ' Department of Computer Science and Engineering, KLEF Deemed to be University, Hyderabad, Telangana, India

Abstract: Clustering strategies for reducing the energy consumption and extending the network life have been employed widely in Wireless Sensor Network (WSN). The clustering mechanism can extend the network's service life and network failure in WSN. In the study, we proposed the technique for improving network performance with a new energy efficient Adaptive Neuro-Fuzzy Inference System (ANFIS)-based routing approach for WSN. A new distributed cluster creation methodology that enables the self-organisation of local nodes, a novel method for the adjustment of clusters and the turning of the Cluster Head (CH) centre location to distribute energy burden equally through all sensing nodes incorporates the suggested ANFIS-based routing. The simulation result shows that the proposed scheme outperforms conventional methods with an improvement of 80% in network lifetime.

Keywords: energy-efficient routing protocol; base station; cluster head; network lifetime; wireless sensor network.

DOI: 10.1504/IJWMC.2024.136553

International Journal of Wireless and Mobile Computing, 2024 Vol.26 No.1, pp.1 - 8

Received: 15 Jun 2021
Accepted: 02 Jan 2022
Published online: 07 Feb 2024 *

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