An Improved Fuzzy Voting Scheme for Fault Tolerant Systems

An Improved Fuzzy Voting Scheme for Fault Tolerant Systems

Ram Murti Rawat (Indian Institute of Technology (BHU), Varanasi, India), Tarun Kumar Gupta (Jawaharlal Nehru University, New Delhi, India), Mohammad Sajid (Jawaharlal Nehru University, New Delhi, India), Shiv Prakash (Department of Chemical Engineering, Indian Institute of Technology, Delhi, India), Dinesh Prasad Sahu (School of Computer and systems Sciences, Jawaharlal Nehru University, New Delhi, India), Sohan Kumar Yadav (Jawaharlal Nehru University, New Delhi, India) and Chanchal Kumar (Jawaharlal Nehru University, New Delhi, India)
Copyright: © 2015 |Pages: 9
DOI: 10.4018/IJAEC.2015040103
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Abstract

Voting is a widely used fault masking techniques for safety-critical systems to enhance the overall reliability of the system. Researchers over the period have proposed numerous advanced techniques in order to improve on the drawback of the existing methods. In this paper a fuzzy voting scheme has been survey and a generalized improved fuzzy voting scheme has been proposed. A comparative study of these schemes has also been carried out. It is found that proposed model is better than existing models. Single objective, multi-objective objective and many objective will be applied in future.
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One of the furthermost extensively used fault masking techniques in massive redundancy system is to deploy a voter to mitigate the effects of the fault. Since the output of the redundant modules are likely to differ within it. Therefore Researchers over the period have proposed numerous advanced techniques in order to improve on the drawback of the existing methods (Das and Bhattcharya, 2010; Manic and Frincke, 2001). Classical Majority voting uses results of redundant modules to arrive at correct output based on the threshold value of output generally implemented on m of n system (Parhami, 1992; Ross, 2008). Exact voting method falls short for dealing with noisy sensors output and rounding off errors due to use of floating point arithmetic. To deal with these limitations, many variants of inexact voting have been proposed in the literature to handle variety of situations to suite application specific voter characteristics (Krstic et al., 2005; Parhami, 1994). Weighted average voting method arrives at consensus by assigning weights to the modules depending on the closeness of their outputs. This method improves the availability however it has an adverse performance for modules with larger output differences (Parhami, 1994; Prakash and Vidyarthi, 2014).

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