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Light Fidelity (Li-Fi) overview and investigation into connection speed

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The overarching aim was to reduce the frequency of connection failures that occur due to the connection speed and reliability, and identify, characterise and optimise the key process input variables (KPIVs). An experimental research approach with an inbuilt planned manipulation to one or more variables in the experimental data set was adopted. Key elements of the Six-Sigma methodology were applied to resolve the issue of high failures due to connection speed and reliability between two Li-Fi transceivers. KPIVs were successfully identified, characterised and optimised to implement a permanent corrective action to ensure a reduction in connection failures from 17% to 0%. The alignment between two Li-Fi transceivers along with Li-Fi cut-out was found to be critical in achieving good connection speed and reliability. The interference due to ambient visible spectrum lighting found to be statistically insignificant. This study explored the application and benefits of accessible wireless data communication technologies. Moreover, it sheds light on the probable factors that may influence Li-Fi connection speed and areas for future research. The current research provides a Six- Sigma based solution to high connection failure rates while using an infrared-based Li-Fi transceiver. Results also offer insights into the analytical tools that were found to be effective during the problem-solving process.
Rocznik
Strony
63--73
Opis fizyczny
Bibliogr. 31 poz., tab., wykr.
Twórcy
  • O.P. Jindal Global University, India
  • O.P. Jindal Global University, India
Bibliografia
  • Arul, K., & Kohli, H. (2004). Six-sigma for software application of hypothesis tests to software Data. Software Quality Journal, 12(1), 29-42.
  • Brewer, P., & Bagranoff, N. A. (2004). Near zero-defect accounting with six-sigma. Journal of Corporate Accounting & Finance (Wiley), 15(2), 67-43.
  • Breyfogle, F. W., Cupello, J. M., & Meadows, B. (2001). Managing six-sigma: a practical guide to understanding, assessing, and implementing the strategy that yields bottom-line success. New York, United States: Wiley.
  • Cisco (2019). Cisco Visual Networking Index: Forecast and Trends, 2017-2022 White Paper, Cisco Forecast and Methodology. Retrieved from http://www.cisco.com/en/US/solutions/collateral/ns341/ns525/ns537/ ns705/ns827/white_paper_c11-481360_ns827_Networking_Solutions_White_Paper.html
  • Doble, M. (2005). Six-sigma and chemical process safety. International Journal of Six-sigma and Competitive Advantage, 1(2), 229-244.
  • Edgeman, R., Bigio, D., & Ferleman, T. (2005). Six-sigma and business excellence: strategic and tactical examination of IT service level management at the office of the chief technology officer of Washington, DC. Quality and Reliability Engineering International, 21(3), 257-273.
  • Elbasher, W. S. M., Mustafa, A. B. A., & Osman, A. A. (2015). A Comparison between Li-Fi, Wi-Fi, and Ethernet Standards, International Journal of Science and Research (IJSR), 4(12), 1-4.
  • Elgala, H., Mesleh, R. & Haas, H. (2011). Indoor Optical Wireless Communication: Potential and State-ofthe-Art. IEEE Communications Magazine, 49(9), 56-62. doi: 10.1109/MCOM.2011.6011734
  • Furterer, S., & Elshennawy, A. (2005). Implementation of TQM and lean six-sigma tools in local government: a framework and a case study. Total Quality Management and Business Excellence, 16(10), 1179-1191.
  • Gangidi, P. R. (2019). Application of Six Sigma in Semiconductor Manufacturing: A Case Study in Yield Improvement, Applications of Design for Manufacturing and Assembly. Ancuţa Păcurar, IntechOpen. doi: 10.5772/intechopen.81058
  • Gent, G. P., Downing, C., & Dalton, J. (2003). Comparative Performance of Wireless and Powerline LANs for Streaming Media. Retrieved from http://www.citeseerx.ist.psu.edu
  • Gerhorst, F., Grömping, U., Lloyd-Thomas, D., & Khalaf, F. (2006). Design for six-sigma in product development at Ford Motor Company in a case study on robust exhaust manifold design. International Journal of Product Development, 3(3/4), 278-291.
  • Giuseppe A., Eleonora B., Marco C., & Enrico, G. (2003). IEEE 802.11b Ad Hoc Networks: Performance Measurements. Proceedings of the 23rd International Conference on Distributed Computing Systems Workshops (ICDCSW‘03), 758-763.
  • Haas, H. (2018). LiFi is a paradigm-shifting 5G technology, Reviews in Physics, 3, 26-31. doi: 10.1016/j.revip.2017.10.001
  • Haas, H., & Cogalan, T. (2019). LiFi Opportunities and Challenges. In International Symposium on Wireless Communication Systems. 16th International Symposium on Wireless Communication Systems, Oulu, Finland.
  • Le Bas, C., Sahuguede, S., Julien-Vergonjanne, A., Behlouli, A., Combeau, P., & Aveneau, L. (2015). Impact of receiver orientation and position on Visible Light Communication link performance. 4th International Workshop on Optical Wireless Communications (IWOW), Istanbul, 1-5. doi: 10.1109/IWOW.2015.7342254
  • Ofcom, (2014). Study on the future UK spectrum demand for terrestrial mobile broadband applications, real wireless, Version 3.1. Retrieved from https://www.ofcom.org.uk/__data/assets/pdf_file/0016/51235/rw_report.pdf
  • Pradhan, J., Kappala, V. K., & Das, S. K. (2020). Performance Analysis of a Li-Fi System under Ambient Light Conditions, 2020 National Conference on Communications (NCC), Kharagpur, India, 1-6. doi: 10.1109/NCC48643.2020.9056061
  • Sharma R. R., Sanganal, A. & Pati, S. (2014). Implementation of A Simple Li-Fi Based System. IJCAT - International Journal of Computing and Technology , 1(9), 437-443.
  • Sharma, M., Sahni, S. P., & Sharma, S. (2019). Reduction of defects in the lapping process of the silicon wafer manufacturing: the Six Sigma application. Engineering Management in Production and Services, 11(2), 87-105. doi: 10.2478/emj-2019-0013
  • Sharma, M., Sahni, S. P., & Sharma, S. (2019a). Validating a destructive measurement system using Gauge R&R — A case study, Engineering Management in Production and Services, 11(4), 34-42. doi: 10.2478/ emj-2019-0031
  • Sharma, M., Sharma, S., & Sahni, S. (2020). Structured Problem Solving – Combined Approach using 8D and Six Sigma Case Study. Engineering Management in Production and Services, 12(1), 57-69. doi: 10.2478/emj-2020-0005
  • Singh, D., Sood, A., Thakur, G., Arora, N., & Kumar, A. (2017). Design and implementation of wireless communication system for toll collection using LIFI. 4th IEEE Int. Conf. Signal Process. Comput. Control. ISPCC 2017-Janua, 510-515.
  • Sreedharan, R. V., Raju, R., Vijaya Sunder, M., & Jiju, A. (2019). Assessment of Lean Six Sigma Readiness (LESIRE) for manufacturing industries using fuzzy logic. International Journal of Quality & Reliability Management, 36(2), 137- 161. doi: 10.1108/ IJQRM-09-2017-0181
  • Su, C. T., & Chou, C. J. (2008). A systematic methodology for the creation of six-sigma projects: A case study of semiconductor foundry. Expert Systems with Applications, 34, 2693- 2703.
  • Sudha, S., Indumathy, D., Lavanya, A., Nishanthi, M., Sheeba, D. M., & Anand, V. (2016). Patient monitoring in the hospital management using Li-Fi. 2016 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR), 93-96.
  • Sumits, A. (2015). The History and Future of Internet Traffic, Cisco Blogs. Retrieved from https://blogs.cisco. com/sp/the-history-and-future-of-internet-traffic
  • Swarnakar, V., & Sekar, V. (2016). Deploying Lean Six Sig ma framework in an automotive component manufacturing organization. International Journal of Lean Six Sigma, 7(3), 267-293.
  • Tsonev, D., Videv, S., & Haas, H. (2013). Light Fidelity (LiFi): Towards All-Optical Networking. Edinburgh, UK: Institute for Digital Communications, Li-Fi R&D Centre, The University of Edinburgh.
  • Wang, N., Liu, C., Lu, Y., & Shen, J. (2017). A Visible Light Communication (VLC) based Intelligent Transportation System for Lorry Fleet. 16th International Conference on Optical Communications and Networks (ICOCN), 16-18.
  • Yang, T., & Hsieh, C. H. (2009). Six-sigma project selection using national quality award criteria and Delphi fuzzy multiple decision-making method. Expert Systems with Applications, 36, 7594-760.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-e1d6f5a8-80a2-4faf-917c-7b54ff1b4c14
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