CFP last date
20 June 2024
Call for Paper
July Edition
IJCA solicits high quality original research papers for the upcoming July edition of the journal. The last date of research paper submission is 20 June 2024

Submit your paper
Know more
Reseach Article

An Incorporated Voting Strategy on Majority and Score- based Fuzzy Voting Algorithms for Safety-Critical Systems

by B. Umamaheswararao, P. Seetharamaiah, S. Phanikumar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 98 - Number 4
Year of Publication: 2014
Authors: B. Umamaheswararao, P. Seetharamaiah, S. Phanikumar
10.5120/17173-7257

B. Umamaheswararao, P. Seetharamaiah, S. Phanikumar . An Incorporated Voting Strategy on Majority and Score- based Fuzzy Voting Algorithms for Safety-Critical Systems. International Journal of Computer Applications. 98, 4 ( July 2014), 32-36. DOI=10.5120/17173-7257

@article{ 10.5120/17173-7257,
author = { B. Umamaheswararao, P. Seetharamaiah, S. Phanikumar },
title = { An Incorporated Voting Strategy on Majority and Score- based Fuzzy Voting Algorithms for Safety-Critical Systems },
journal = { International Journal of Computer Applications },
issue_date = { July 2014 },
volume = { 98 },
number = { 4 },
month = { July },
year = { 2014 },
issn = { 0975-8887 },
pages = { 32-36 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume98/number4/17173-7257/ },
doi = { 10.5120/17173-7257 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:25:20.721112+05:30
%A B. Umamaheswararao
%A P. Seetharamaiah
%A S. Phanikumar
%T An Incorporated Voting Strategy on Majority and Score- based Fuzzy Voting Algorithms for Safety-Critical Systems
%J International Journal of Computer Applications
%@ 0975-8887
%V 98
%N 4
%P 32-36
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Triple Modular Redundancy (TMR) is usually used to increase safety and the reliability of safety-critical systems where three identical segments are used in identical and the ultimate outcome is reached using voting techniques. Fault masking is one of the main techniques to improve the normal actions of a range of safety-critical techniques. Some commercial areas which implement such techniques include process control, transport, and atomic power place and army programs. Integrated Voter for majority and weighted-average used to provide for a fault masking capability in safety-critical systems [1]. The Majority voting gives a high level of safety and the weighted-average offers a good level of availability. If integrated these two gives a good level of safety in Majority voting not in integrated voting. Here propose a new voting algorithm for faulty masking taking the disadvantage of previous algorithm. In this Incorporating Majority voting and score based fuzzy voting schemes. Safety performance is evaluated by running proposed, Majority and score based fuzzy voting on a triple modular redundant (TMR) system for 10000 voting cycles in various error scenarios. Experimental results show that proposed fuzzy Voter is given a higher safety than other two voting algorithms.

References
  1. Soureh Latif-Shabgahi" An Integrated Voting Algorithm for Fault Tolerant Systems" 2011 International Conference on Software and Computer Applications IPCSIT vol. 9 (2011) © (2011) IACSIT Press, Singapore.
  2. EUROCAE/RTCA, "ED-12B/DO-178B: Software Considerations inAirborneSystemsand Equipment Certification", EUROCAE/RTCA, 1994
  3. J. -C. Laprie, (1985). Dependable computing and fault-tolerance: concepts and terminology, in Digest of Papers FTCS'15: IEEE 15th Annu. Int. Symp. Fault-Tolerant Computing Systems, Ann. Arbor, MI, pp. 2–11.
  4. B. W. Johnson (1989), Design and Analysis of Fault-Tolerant Digital Systems. New York: Addison-Wesley.
  5. J. L. Lions, "ARIANE 5: Flight 501 failure," Ariane 5 Inquiry Board Report, Paris, Tech. Rep. , 1996.
  6. "Aviation safety investigation report - in-flight upset; 240km nwperth,wa;boeingco777-200,9m-mrg,"http://www. atsb. gov. au/publications/investigationreports/2005/AAIR/aair200503722. aspx, 2005.
  7. D. M. Blough & G. F. Sullivan (1990). A comparison of voting strategies for fault-tolerant distributed systems, in Proc. IEEE 9th Symp. Reliable Distributed Systems, Huntsville, Alabama, pp. 136–145.
  8. G. Latif-Shabgahi & S. Bennett (1999), Adaptive majority voter: a novel voting algorithm for real-time fault-tolerant control systems, in 25th Euromicro Conf. , vol. 2, pp. 113-120.
  9. G. Latif-Shabgahi, Julian M. Bass & Stuart Bennett (2004), A taxonomy for software voting algorithms used in safety-critical systems, IEEE Trans. Reliability, vol. 53, no. 3, pp 319-328,
  10. P. R. Lorczak, A. K. Caglayan and D. E. Eckhardt. "A Theoretical Investigation of Generalised Voters", Proc. Of IEEE 19th Ann. Int. Symp. on Fault-Tolerant Computing Systems, 1989, Chicago, USA, June, pp. 444-451.
  11. B. Baykant Alagöz, "Adaptive fault masking with incoherence scoring," OncuBilim Algorithm And System Lab. , vol. 08, no. 01, Jul. 2008, pp. 1-14.
  12. Latif-Shabgahi, G. , & Hirst, A. J. (2005). "A fuzzy voting scheme for hardware and software fault tolerant systems. Fuzzy Sets and Systems", 150(3), 579–598. doi:10. 1016/j. fss. 2004. 02. 014
  13. B. Uma Maheswara Rao and SeethaRamaiah Panchumarthy," An Improvement in History Based Weighted-Voting Algorithm for Safety Critical Systems" International Journal of Computer Science Engineering Research and Development (IJCSERD), ISSN 2248 – 9363(Print) ISSN 2248 – 9371(Online), Volume 3, Number 1 Jan- March (2013), pp: 41-59 © PRJ Publication, http://www. prjpublication. com/IJCSERD. asp.
Index Terms

Computer Science
Information Sciences

Keywords

Fuzzy Voters Safety-Critical Systems Triple Modular Redundant (TMR) Fault Tolerance Fault masking.