Coverage Reliability Evaluation of Wireless Sensor Network Considering Common Cause Failures Based on D–S Evidence Theory

2020 ◽  
pp. 1-15
Author(s):  
Qiang Liu
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Evidence Theory ◽  
Reliability Evaluation ◽  
Wireless Sensor ◽  
Common Cause ◽  
Common Cause Failures

A new hierarchical belief-rule-based method for reliability evaluation of wireless sensor network

2018 ◽  
Vol 87 ◽  
pp. 33-51 ◽  
Author(s):  
Wei He ◽  
Guan-Yu Hu ◽  
Zhi-Jie Zhou ◽  
Pei-Li Qiao ◽  
Xiao-Xia Han ◽  
...  
Keyword(s):  
Wireless Sensor Network ◽  
Sensor Network ◽  
Reliability Evaluation ◽  
Wireless Sensor ◽  
Rule Based

scholarly journals Real-time Resource Positioning System based on Wireless Sensor Network in Manufacturing Workshop

2017 ◽  
Vol 13 (06) ◽  
pp. 96
Author(s):  
Li Shaobo ◽  
Qu Jinglei ◽  
Zhang Chenglong
Keyword(s):  
Wireless Sensor Network ◽  
Real Time ◽  
Sensor Network ◽  
Electromagnetic Interference ◽  
Evidence Theory ◽  
Wireless Sensor ◽  
Prototype System ◽  
Positioning System ◽  
Fusion Algorithm ◽  
Time Resource

Discrete manufacturing enterprise has a complex and varied production process, which causes manufacturing resources have dynamic characteristics. Aiming at the efficient collect and management of manufacturing resource information, improve the enterprise’ intellectualization, a real-time resource positioning system based on wireless sensor network was proposed. Firstly, a perceptual model for resource positioning was designed, which can collect and analysis real-time resources information in the workshop. Meanwhile, the architectural structure of real-time resources positioning system was designed based on wireless sensor network and the resources positioning flow was illustrated. Aiming at the low positioning accuracy caused by electromagnetic interference and obstacle in manufacturing workshop environment, a multi-sensor positioning data fusion algorithm based on fuzzy evidence theory was proposed. Finally, a prototype system is implemented to demonstrate the validity of the method in practice.

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

2018 ◽  
Vol 14 (10) ◽  
pp. 180
Author(s):  
Jianjun Xu
Keyword(s):  
Neural Network ◽  
Wireless Sensor Networks ◽  
Wireless Sensor Network ◽  
Sensor Network ◽  
Fuzzy Neural Network ◽  
Evaluation Model ◽  
Reliability Evaluation ◽  
Wireless Sensor ◽  
Performance Indexes ◽  
Fuzzy Neural

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;">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.</span>

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