Publication:
Ann Based Novel Approach To Detect Node Failure In Wireless Sensor Network

Simple item page
dc.contributor.authorSundresan Perumalen_US
dc.contributor.authorMujahid Tabassumen_US
dc.contributor.authorGanthan Narayanaen_US
dc.contributor.authorSuresh Ponnanen_US
dc.contributor.authorChinmay Chakrabortyen_US
dc.contributor.authorSaju Mohananen_US
dc.contributor.authorZeeshan Basiten_US
dc.contributor.authorMohammad Tabrez Quasimen_US
dc.date.accessioned2024-05-29T02:00:32Z
dc.date.available2024-05-29T02:00:32Z
dc.date.issued2021
dc.date.submitted2022-1-28
dc.descriptionVolume: 69, No: 2 (page: 1447-1462)en_US
dc.description.abstractA 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.en_US
dc.identifier.citationS. 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.en_US
dc.identifier.doi10.32604/cmc.2021.014854
dc.identifier.epage1462
dc.identifier.issn1546-2218
dc.identifier.issue2
dc.identifier.spage1447
dc.identifier.urihttps://www.techscience.com/cmc/v69n2/43841
dc.identifier.urihttps://oarep.usim.edu.my/handle/123456789/10125
dc.identifier.volume69
dc.language.isoen_USen_US
dc.publisherComputers, Materials & Continuaen_US
dc.relation.ispartofComputers, Materials and Continuaen_US
dc.subjectAODV; artificial neural network; artificial intelligence; Mahalanobis distance; node failure; throughput; wireless sensor networken_US
dc.titleAnn Based Novel Approach To Detect Node Failure In Wireless Sensor Networken_US
dc.typeArticleen_US
dspace.entity.typePublication

Files

Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
ANN Based Novel Approach to Detect Node Failure in Wireless Sensor Network.pdf
Size:
705.27 KB
Format:
Adobe Portable Document Format
Download

Collections

Scopus