RETRACTED: Route classification scheme based on covering rough set approach in mobile ad hoc network (CRS-MANET)
International Journal of Intelligent Unmanned Systems
ISSN: 2049-6427
Article publication date: 22 October 2019
Issue publication date: 4 May 2020
Retraction notice
The publishers of T., S., H., H.I. and S., S.K. (2020), “Route classification scheme based on covering rough set approach in mobile ad hoc network (CRS-MANET)”, International Journal of Intelligent Unmanned Systems, Vol. 8 No. 2, pp. 85-96. https://doi.org/10.1108/IJIUS-08-2019-0046
An internal investigation into a series of submissions has uncovered evidence that the peer review process was compromised. As a result of these concerns, the findings of the article cannot be relied upon. This decision has been taken in accordance with Emerald’s publishing ethics and the COPE guidelines on retractions.
Despite numerous attempts to contact the authors, the journal has received no response; the response of the authors would be gratefully received.
The publishers of the journal sincerely apologize to the readers.
The retracted article is available at: 10.1108/IJIUS-08-2019-0046
Abstract
Purpose
The purpose of this paper is to obtain correctly classified routes based on their parameters.
Design/methodology/approach
In this paper, a covering rough set (CRS) approach is proposed for route classification in wireless ad hoc networks. In a wireless network, mobile nodes are deployed randomly in a simulation region. This work addresses the problem of route classification.
Findings
The network parameters such as bandwidth, delay, packet byte rate and packet loss rate changes due to the frequent mobility of nodes lead to uncertainty in wireless networks. This type of uncertainty can be very well handled using a rough set concept. An ultimate aim of classification is to correctly predict the decision class for each instance in the data.
Originality/value
The traditional classification algorithms, named K-nearest neighbor, J48, general rough set theory, naive Bayes, JRIP and multilayer perceptron, are used in this work for comparison and for the proposed CRS based on route classification approach revealing better accuracy than traditional classification algorithms.
Keywords
Acknowledgements
The first author would like to thank the UGC-RGNF (Rajiv Gandhi National Fellowship) for financial support to do this work. The Grant No. is F1-17.1/2014-15/RGNF-2014-15-SC-TAM-84052 (SA-III/Website). Authors would like to take this opportunity to thank anonymous reviewers for the effort and expertise contributed by them.
Citation
T., S., H., H.I. and S., S.K. (2020), "RETRACTED: Route classification scheme based on covering rough set approach in mobile ad hoc network (CRS-MANET)", International Journal of Intelligent Unmanned Systems, Vol. 8 No. 2, pp. 85-96. https://doi.org/10.1108/IJIUS-08-2019-0046
Publisher
:Emerald Publishing Limited
Copyright © 2019, Emerald Publishing Limited