A New Method for Reliability Evaluation of Wireless Sensor Networks Based on Fuzzy Neural Network

Authors

  • Jianjun Xu Nanjing Normal University Taizhou College

DOI:

https://doi.org/10.3991/ijoe.v14i10.9315

Keywords:

Wireless sensor networks, fuzzy neural network, reliability evaluation, performance indexes

Abstract


In this paper, a reliability evaluation model based on fuzzy neural network is proposed to evaluate the reliability of wireless sensor networks without a unified standard. Firstly, the reliability is analyzed from the point of view of topology structure, protocol stack structure and reliability mechanism of wireless sensor network, and the performance indexes that affect the reliability are extracted. Secondly, some performance indexes are screened out, and the standard value matrix of reliability evaluation for index fuzzy quantization is established. The sample data is generated by interpolation, and the reliability evaluation model based on fuzzy neural network is established. The neural network model takes the selected index values as input, and outputs are the reliability of the wireless sensor network. The simulation results show that the evaluation model is basically consistent with the actual situation, and it can evaluate the wireless sensor network from the system level.

Author Biography

Jianjun Xu, Nanjing Normal University Taizhou College

Jianjun Xu is a member of the Taizhou College of Nanjing Normal University, 518 Dongfeng Road, Taizhou, Jiangsu. His research fields are mainly about remote sensing spectrum, information technology, geographic information system and so on.

Downloads

Published

2018-10-26

How to Cite

Xu, J. (2018). A New Method for Reliability Evaluation of Wireless Sensor Networks Based on Fuzzy Neural Network. International Journal of Online and Biomedical Engineering (iJOE), 14(10), pp. 180–192. https://doi.org/10.3991/ijoe.v14i10.9315

Issue

Section

Papers