TY  - EJOU
AU  - Alghamdi, Abdulaziz S. 
AU  - Alharbi, Randa 
AU  - Alsuhibany, Suliman A. 
AU  - Abdel-Khalek, Sayed 

TI  - Statistical Analysis with Dingo Optimizer Enabled Routing for Wireless Sensor Networks
T2  - Computers, Materials \& Continua

PY  - 2022
VL  - 73
IS  - 2
SN  - 1546-2226

AB  - 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.
KW  - Statistical analysis; reliability; routing; wireless sensor networks; linear discriminant analysis; dingo optimizer; security

DO  - 10.32604/cmc.2022.028088