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Statistical Analysis with Dingo Optimizer Enabled Routing for Wireless Sensor Networks

Abdulaziz S. Alghamdi1,*, Randa Alharbi2, Suliman A. Alsuhibany3, Sayed Abdel-Khalek4,5

1 Department of Mathematics, College of Science & Arts, King Abdulaziz University, Rabigh, 21911, Saudi Arabia
2 Department Statistics, College of Science, University of Tabuk, Tabuk, Saudi Arabia
3 Department of Computer Science, College of Computer, Qassim University, Buraydah, 51452, Saudi Arabia
4 Department of Mathematics and Statistics, College of Science, Taif University, Taif, 21944, Saudi Arabia
5 Mathematics Department, Faculty of Science, Sohag University, Sohag, 82524, Egypt

* Corresponding Author: Abdulaziz S. Alghamdi. Email: email

Computers, Materials & Continua 2022, 73(2), 2865-2878.


Security is a vital parameter to conserve energy in wireless sensor networks (WSN). Trust management in the WSN is a crucial process as trust is utilized when collaboration is important for accomplishing trustworthy data transmission. But the available routing techniques do not involve security in the design of routing techniques. This study develops a novel statistical analysis with dingo optimizer enabled reliable routing scheme (SADO-RRS) for WSN. The proposed SADO-RRS technique aims to detect the existence of attacks and optimal routes in WSN. In addition, the presented SADO-RRS technique derives a new statistics based linear discriminant analysis (LDA) for attack detection, Moreover, a trust based dingo optimizer (TBDO) algorithm is applied for optimal route selection in the WSN and accomplishes secure data transmission in WSN. Besides, the TBDO algorithm involves the derivation of the fitness function involving different input variables of WSN. For demonstrating the enhanced outcomes of the SADO-RRS technique, a wide range of simulations was carried out and the outcomes demonstrated the enhanced outcomes of the SADO-RRS technique.


Cite This Article

A. S. Alghamdi, R. Alharbi, S. A. Alsuhibany and S. Abdel-Khalek, "Statistical analysis with dingo optimizer enabled routing for wireless sensor networks," Computers, Materials & Continua, vol. 73, no.2, pp. 2865–2878, 2022.

cc 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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