Encoding Techniques Based on Reversible Quantum Dot Cellular Automata
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محتوى المقالة الرئيسي
الملخص
Line encoding technique is essential for data transfer in IoT. It entails encoding the unprocessed bit stream according to designated protocols before transmission. Diverse baseband encoding schemes, including Manchester, Miller, and FM0 codes, are employed to improve communication efficacy. These systems ensure the transmitted signal has zero mean, addressing the issue, of DC balance. These systems ensure the transmitted signal has zero mean, addressing the issue of DC balance. Each encoding strategy should be deployed without missing any of its parameters required. Employing quantum reversible gates can coordinate all encoding techniques, reducing area consumption. The circuit consists of the FM0, Manchester, and Miller encoding to overcome the limitations of current techniques. This derived layout of the FM0 and Manchester coding could promote the DSRC specifications. This paper evaluates the FM0, Manchester, and Miller encoding using QCA Designer, achieving notable reductions in cell count and area. FM0 encoding requires 188 cells, Manchester encoding utilizes 9 cells, and Miller needs 140 cells. The achieved areas (nm2) were 287512, 24072, and 194969, respectively.
المقاييس
تفاصيل المقالة
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المراجع
Sathish S. Examination and Design of Bi-Phase Encoder for Short Range Wireless Communication. International Journal of Engineering and Advanced Technology (IJEAT) 2019; 8(6S3): 1922–1924. DOI: https://doi.org/10.35940/ijeat.F1369.0986S319
Mehta B, Ghosal M. Review on FM0/Manchester Encoder-Decoder Used in DSRC Based Applications. International Journal on Recent and Innovation Trends in Computing and Communication 2016; 4(4): 532–535.
Sundeep K, Swathi K. Power Optimized VLSI Architecture of FM0/Manchester Encoding Using Reversible Logic Gates. International Journal of Modern Engineering and Technology Research 2016; 3(9): 503–510.
Lea P. Internet of Things for Architects: Architecting IoT Solutions by Implementing Sensors, Communication Infrastructure, Edge Computing, Analytics, and Security. Packt Publishing; 2018.
Arianto AP, Sudiro SA, Hakim A, Hendajani F. Manchester Encoder Component for Data Processing IoT Environment. Journal of Physics: Conference Series 2018; 971: 012043. DOI: https://doi.org/10.1088/1742-6596/1192/1/012043
Lalitha V, Kathiravan S. A Review of Manchester, Miller, and FM0 Encoding Techniques. Smart Computing Review 2014; 4(6): 481–490. DOI: https://doi.org/10.6029/smartcr.2014.06.006
Hassan FN, Agha A, Naif YH, Shakib MN. Review of Nanosheet Transistors Technology. Tikrit Journal of Engineering Sciences 2021; 28(1): 40–48. DOI: https://doi.org/10.25130/tjes.28.1.05
Tiwari R, Singh A. A Brief Survey on QCA and CMOS Technology. International Journal of Advance Innovations, Thoughts & Ideas 2023; 12(1): 1–7.
Prasad DD, Srinivas CVVS, Kiran K, Varma AKC. Design and Implementation of FM0/Manchester Encoder Using VHDL. International Journal of Advanced Research in Computer and Communication Engineering 2016; 5(4): 447–452.
Krishnan A, Anusree LS. Reusable SOLS Encoder for DSRC Applications. International Journal of Science and Research 2015; 4(2): 1874–1878.
Yagnasri CH, Kiran M, Jamal K. Implementation of FM0 and Manchester Encoder for Efficient Hardware Utilization. IOSR Journal of VLSI and Signal Processing 2016; 6(6): 12–20.
Reddy ACP, Saheb SK. FM0/Manchester Encoding Using Similarity Oriented Logic Simplification Technique. International Journal of Scientific Engineering and Technology Research 2016; 5(22): 4571–4578.
Chandana SL, Bhai DP. A Simple Application of FM0 Encoding in DSRC Applications. Proceedings of National Conference on Computing, Electrical, Electronics and Sustainable Energy Systems 2016; 2(1): 161–164.
Vysakh, Nair RM. A DSRC Transceiver with Multi Mode Encoder Using SOLS Technique. International Journal of Engineering Trends and Technology 2017; 47(2): 98–103. DOI: https://doi.org/10.14445/22315381/IJETT-V47P216
Soni N, Saraf A. DSRC Based FM0/Manchester Encoder-Decoder Implementation on FPGA. International Journal of Scientific Progress and Research 2016; 27(3): 139–145.
Gharat R, Thorat SS. A Review: Miller Encoder for Outdoor MIMO VLC Application. International Journal of Recent Scientific Research 2017; 8(4): 16303–16307. DOI: https://doi.org/10.24327/ijrsr.2017.0804.0124
Logeswari K, Sridevi P, Krishnakumar P, Sankaran BG. Design and Implementation of FMO/Manchester Encoding by Using SOLS Technique. International Journal of Science and Advanced Research in Technology 2020; 6(5): 546–549.
Sherif NH, Ali MH. A Review: Asynchronous Counters Using Quantum Gates. IOP Conference Series: Materials Science and Engineering 2020; 928(3): 032019. DOI: https://doi.org/10.1088/1757-899X/928/2/022031
Pandey S, Singh S, Wairya S. Designing an Efficient Approach for JK and T Flip-Flop with Power Dissipation Analysis Using QCA. International Journal of VLSI Design & Communication Systems 2016; 7(3): 29–48. DOI: https://doi.org/10.5121/vlsic.2016.7303
Sherif NH, Ali MH, Jazea NA. Design and Implementation Reversible Multiplexer Using Quantum-Dot Cellular Automata Approach. Bulletin of Electrical Engineering and Informatics 2022; 11(6): 3383–3391. DOI: https://doi.org/10.11591/eei.v11i6.4307
Yaqoob S, Ahmed S, Naz SF, Bashir S, Sharma S. Design of Efficient N‐Bit Shift Register Using Optimized D Flip Flop in Quantum Dot Cellular Automata Technology. IET Quantum Communication 2021; 2(2): 29–62. DOI: https://doi.org/10.1049/qtc2.12008
Balijepalli H, Niamat M. A Novel Quantum-Dot Cellular Automata Switch for Field Programmable Gate Arrays. Worldcomp Proceedings 2012; 1: 1–6. DOI: https://doi.org/10.1109/FPL.2012.6339219
Gassoumi I, Touil L, Ouni B, Mtibaa A. An Ultra-Low Power Parity Generator Circuit Based on QCA Technology. Journal of Electrical and Computer Engineering 2019; 2019(1): 1–8. DOI: https://doi.org/10.1155/2019/1675169
Fouladinia F, Gholami M. Design of a Novel Decimal to Multicode Converter in QCA Technology. Journal of Electrical and Computer Engineering 2023; 2023(1): 1–13. DOI: https://doi.org/10.1155/2023/6615790
Beiki Z, Shahidinejad A. An Introduction to Quantum Cellular Automata Technology and Its Defects. Reviews in Theoretical Science 2016; 2(4): 1–9. DOI: https://doi.org/10.1166/rits.2014.1028
Majeed AH, Zainal MS, Alkaldy E, Nor DM. Single-Bit Comparator in Quantum-Dot Cellular Automata (QCA) Technology Using Novel QCA-XNOR Gates. Journal of Electronic Science and Technology 2021; 19(3): 1–11. DOI: https://doi.org/10.1016/j.jnlest.2020.100078
Navi K, Chabi AM, Sayedsalehi S. A Novel Nine Input Majority Gate Design in Quantum-Dot Cellular Automata. International Journal of Computer Science Issues 2012; 9(1): 84–89. DOI: https://doi.org/10.1155/2012/943406
Gali SJ, Terlapu SK. On the Implementation of VLSI Architecture of FM0/Manchester Encoding and Differential Manchester Coding for Short-Range Communications. Microelectronics, Electromagnetics and Telecommunications, Lecture Notes in Electrical Engineering 2018; 471: 551–558. DOI: https://doi.org/10.1007/978-981-10-7329-8_56
Hashemipour SS, Navi K. A Smart Four-Input Minority Gate Based on QCA Technology. International Journal of Smart Electrical Engineering 2021; 10(1): 33–37.