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ANN Based Novel Approach to Detect Node Failure in Wireless Sensor Network

Sundresan Perumal1, Mujahid Tabassum1, Ganthan Narayana2, Suresh Ponnan3,*, Chinmay Chakraborty4, Saju Mohanan5, Zeeshan Basit5, Mohammad Tabrez Quasim6
1 Faculty of Science and Technology, Universiti Sains Islam Malaysia, Nilai, 71800, Malaysia
2 Advanced Informatics Department, Razak Faculty of Technology and Informatics, Universiti Teknologi Malaysia, Kuala Lumpur, 54100, Malaysia
3 Department of ECE, Veltech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, 600062, Tamilnadu, India
4 Department Electronics & Communication Engineering, Birla Institute of Technology, Mesra, Jharkhand, India
5 Faulty of Information Technology, University of Technology and Applied Sciences, Muscat, 133, Oman
6 College of Computing and Information Technology, University of Bisha, Bisha, 67714, Saudi Arabia
* Corresponding Author: Suresh Ponnan. Email:
(This article belongs to this Special Issue: Machine Learning for Data Analytics)

Computers, Materials & Continua 2021, 69(2), 1447-1462.

Received 22 October 2020; Accepted 29 January 2021; Issue published 21 July 2021


A wireless sensor network (WSN) consists of several tiny sensor nodes to monitor, collect, and transmit the physical information from an environment through the wireless channel. The node failure is considered as one of the main issues in the WSN which creates higher packet drop, delay, and energy consumption during the communication. Although the node failure occurred mostly due to persistent energy exhaustion during transmission of data packets. In this paper, Artificial Neural Network (ANN) based Node Failure Detection (NFD) is developed with cognitive radio for detecting the location of the node failure. The ad hoc on-demand distance vector (AODV) routing protocol is used for transmitting the data from the source node to the base station. Moreover, the Mahalanobis distance is used for detecting an adjacent node to the node failure which is used to create the routing path without any node failure. The performance of the proposed ANN-NFD method is analysed in terms of throughput, delivery rate, number of nodes alive, drop rate, end to end delay, energy consumption, and overhead ratio. Furthermore, the performance of the ANN-NFD method is evaluated with the header to base station and base station to header (H2B2H) protocol. The packet delivery rate of the ANN-NFD method is 0.92 for 150 nodes that are high when compared to the H2B2H protocol. Hence, the ANN-NFD method provides data consistency during data transmission under node and battery failure.


AODV; artificial neural network; artificial intelligence; Mahalanobis distance; node failure; throughput; wireless sensor network

Cite This Article

S. Perumal, M. Tabassum, G. Narayana, S. Ponnan, C. Chakraborty et al., "Ann based novel approach to detect node failure in wireless sensor network," Computers, Materials & Continua, vol. 69, no.2, pp. 1447–1462, 2021.


This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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