https://github.com/arhik/probabilistic-competing-failures

Probabilistic dependency of components on relay and its reliability evaluation
https://github.com/arhik/probabilistic-competing-failures

Last synced: 22 days ago
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Probabilistic dependency of components on relay and its reliability evaluation

• Host: GitHub
• URL: https://github.com/arhik/probabilistic-competing-failures
• Owner: arhik
• Created: 2015-04-24T13:05:15.000Z (over 9 years ago)
• Default Branch: master
• Last Pushed: 2015-10-31T14:15:37.000Z (about 9 years ago)
• Last Synced: 2024-12-22T22:53:42.688Z (29 days ago)
• Language: Python
• Homepage:
• Size: 570 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
In a Body Sensor Network, the sensors information is relayed through relay within reach wirelessly. There is a possibility of relay failure. Considering this a new component PDEP is introduced into fault tolerance literature. 

![BSN](https://github.com/arhik/Probabilistic-Competing-Failures/blob/master/.Images/BAN.jpg)

The Fault tree diagram of the above description is shown below.

![BaseFT](https://github.com/arhik/Probabilistic-Competing-Failures/blob/master/.Images/BaseFT.png)

In this project the wireless motes may fail because of sensor failure or tranmission failures and the components may be isolated. ()

![isolation](https://github.com/arhik/Probabilistic-Competing-Failures/blob/master/.Images/IsolationFacorDetails.png)

The monte-carlo simulation of the above scenario is done to compute its reliability.

The detailed Fault tree describing the component's sensor and transmittor.

![DetailedFT](https://github.com/arhik/Probabilistic-Competing-Failures/blob/master/.Images/DetailedFT.png)

Analytical values from research.

![table](https://github.com/arhik/Probabilistic-Competing-Failures/blob/master/.Images/AnalyticalValuesTable.png)

The Reliability values from the Monte-Carlo simulation of the above context are as follows:

[0.1305, 0.6198, 0.9664, 0.9997]

[0.1037, 0.5386, 0.9532, 0.9999]

[0.1317, 0.5983, 0.958, 0.9998]

[0.1136, 0.5765, 0.9629, 0.9998]

[0.1154, 0.5808, 0.9637, 0.9995]

[0.1103, 0.5558, 0.9529, 0.9996]

[0.1074, 0.5599, 0.9565, 0.9996]