Implementation of Novel Block and Convolutional Encoding Circuit Using FS-GDI

References

• T. Srour, A. Haggag, M. A. El-Bendary, M. Eltokhy, and A. E. Abouelazm, “Efficient approach for monitoring and controlling water parameters utilizing integrated treatment based on WSNs,” Wireless Sensor Network, Vol. 11, no. 4, pp. 47–66, Apr. 2019.
   Google Scholar
• M. A. M. El- Bendary. Developing security tools of WSN and WBAN networks applications. Tokyo, Japan: Springer, 2015.
   Google Scholar
• P. Kumar, and R. K. Sharma, “An energy efficient logic approach to implement CMOS full adder,” J. Circ. Syst. Comput., Vol. 26, no. 05, pp. 1750084, 2017.
   Google Scholar
• M. Amini-Valashani, M. Ayat, and S. Mirzakuchaki, “Design and analysis of a novel low-power and energy-efficient 18 T hybrid full adder,” Microelectronics. J., Vol. 74, no. November 2017, pp. 49–59, 2018.
   Google Scholar
• M. A. M. El-Bendary, and A. E. Abou El-Azm, “Complexity considerations: Efficient image transmission over mobile communications channels,” Multimed. Tools. Appl., Vol. 78, no. 12, pp. 16633–64, 2019.
   Web of Science ®Google Scholar
• N. M. El-Gohary, M. A. M. El-Bendary, F. E. Abd El-Samie, and M. M. Fouad, “Performance evaluation of various erasures coding techniques in digital communication,” J. Wirel. Network. Commun., Vol. 6, no. 1, pp. 10–20, 2016.
   Google Scholar
• M. M. Mahmoud, and X. Shen. Security for multi-hop wireless networks. Springer International Publishing, Briefs in Computer Science series, 2015.
   Google Scholar
• D. G. Costa, S. Figuerêdo, and G. Oliveira, “Cryptography in wireless multimedia sensor networks: A survey and research directions,” Cryptograp. J. MDPI, Vol. 1 No. 4, PP. 1–18, 2017.
   Google Scholar
• J. Kim, H. S. Lee, J. Yi, and M. Park, “Power adaptive data encryption for energy-efficient and secure communication in solar-powered wireless sensor networks,” Hindawi Publ. Corp. J. Sens., Vol. 2016. DOI: 10.1155/2016/2678269.
   Google Scholar
• H. M, A. Elkader M. E, A. Elhameed, M. A. M. El-Bendary, and E. O. Begheet, “An efficient chaotic interleaving with convolution encoder and decoder for simplicity in LTE system,” Int. J. Network. Commun., Vol. 8, no. 1, pp. 1–9, 2018.
   Google Scholar
• S. Olanigan, L. Cao, and R. Viswanathan, “Rate and power efficient image compressed sensing and transmission,” J. Electron. Imaging, Vol. 25, no. 1, pp. 013024, Jan./Feb. 2016.
   Web of Science ®Google Scholar
• S. Xiao, W. Li, H. Jiang, Z. Xu, and Z. Hu, “Trajectroy prediction for target tracking using acoustic and image hybrid wireless multimedia sensors networks,” Multimedia Tools Appl. Journal, Jul. 2017. https://doi.org/10.1007/s11042-017-4846-z.
   Google Scholar
• M. A. M. El-Bendary, “FEC merged with double security approach based on encrypted image steganography for different purpose in the presence of noise and different attacks,” Multimed. Tools. Appl., Vol. 76, no. 24, pp. 26463–501, 2017.
   Web of Science ®Google Scholar
• M. El-Bendar, O. El-Badry, “A new systematic encoding circuit of hamming (15, 11) using low-power XOR-FS-GDI based logic gate: Fast computing and efficient area FEC,” 22 Dec. 2021. DOI: 10.21203/rs.3.rs-1144966/v1.
   Google Scholar
• M. Shoba, and R. Nakkeeran, “Energy and area efficient hierarchy multiplier architecture based on Vedic mathematics and GDI logic,” Eng. Sci. Technol. Int. J., Vol. 20, no. 1, pp. 321–31, 2017.
   Google Scholar
• P. Taylor, W. Al-assadi, A. P. Jayasumana, and Y. K. Malaiya. Pass-transistor logic design,” no. January 2015, pp. 37–41, 2007.
   Google Scholar
• V. R. Tirumalasetty, and M. R. Machupalli, “Design and analysis of low power high-speed 1-bit full adder cells for VLSI applications,” Int. J. Electron., Vol. 106, no. 4, pp. 521–36, 2019.
   Web of Science ®Google Scholar
• S.-H. Shieh, C.-K. Tung, and C.-H. Cheng, “Low-power high-speed full adder for portable electronic applications,” Electron. Lett., Vol. 49, no. 17, pp. 1063–4, 2013.
   Web of Science ®Google Scholar
• A. Parameswar, H. Hara, and T. Sakurai, “A high speed, low power, swing restored pass-transistor logic based multiply and accumulate circuit for multimedia applications,” in Proceedings of IEEE Custom Integrated Circuits Conference – CICC ‘94, San Diego, CA, USA, 1994, pp. 278–81. DOI: 10.1109/CICC.1994.379719.
   Google Scholar
• A. Morgenshtein, V. Yuzhaninov, A. Kovshilovsky, and A. Fish, “Full-swing gate diffusion input logic – Case-study of low-power CLA adder design,” Integr. VLSI J., Vol. 47, no. 1, pp. 62–70, 2018.
   Google Scholar
• M. A. M. El-Bendary, and A. Haggag, “Investigating performance analysis of a novel Low-power efficient area carry-look ahead adder,” in 2021 International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC), May 2021, pp. 364–9.
   Google Scholar
• O. A. Albadry, M. A. Mohamed El-Bendary, F. Z. Amer, and S. M. Singy, “Design of area efficient and low power 4-bit multiplier based on full-swing GDI technique,” in 2019 International Conference on Innovative Trends in Computer Engineering (ITCE), Feb. 2019, pp. 328–33.
   Google Scholar
• M. A. Ahmed, M. A. Mohamed El-Bendary, F. Z. Amer, and S. M. Singy, “Delay optimization of 4-Bit ALU designed in FS-GDI technique,” in EEE, International Conference on Innovative Trends in Computer Engineering (ITCE), Feb. 2019, pp. 534–7.
   Google Scholar
• M. Shoba, and R. Nakkeeran, “GDI based full adders for energy efficient arithmetic applications,” Eng. Sci. Technol. Int. J., Vol. 19, no. 1, pp. 485–96, 2016.
   Google Scholar
• M. A. M. El-Bendary, and M. Ayman, “Various nano-scale technologies: lower hardware complexity of ALU realizing utilizing FS-GDI approach in 45 and 130 nm,” Int. J. Appl. Math. Machine Learning, Vol. 14, no. 1, pp. 4–34, Mar. 2021.
   Google Scholar
• K. Arora, J. Singh, and Y. S. Randhawa, “A survey on channel coding techniques for 5G wireless networks,” Telecommun. Syst., Vol. 73, pp. 637–63, 2020.
   Web of Science ®Google Scholar
• R. Kadal, K. Paudel, D. B. nGuruge, and S. J. Halder, “Opportunities and challenges for error control schemes for wireless sensor networks: A review,” MDPI Electron., Vol. 504, no. 9, pp. 2–36, 2020.
   Google Scholar
• S. H. Chowdhury, and A. Hossain, “Different energy saving schemes in wireless sensor network: A survey,” Wirel. Pers. Commun., Vol. 114, pp. 2043–62, 2020.
   Web of Science ®Google Scholar
• M. A. Mahmoud, M. A. El-Bendary, and M. Eltokhy, “Transfer some of the vital signs of the body by using wireless sensor network,” Int. Res. J. Eng. Technol., Vol. 7, no. 1, pp. 1665–1669, Jan. 2020.
   Google Scholar
• Q. Liu, K. G. Mkongwa, and C. Zhang, “Performance issues in wireless body area networks for the healthcare application: a survey and future prospects,” SN Appl. Sci., Vol. 3, pp. 155, 2021. DOI: 10.1007/s42452-020-04058-2.
   Web of Science ®Google Scholar
• S. Velayudham, and S. Rajagopal, “Yeragudipati Venkata Ramana Rao, Seok-Bum Ko, power efficient error correction coding for onchip interconnection links,” IET Comput. Digit. Tech., Oct. 2020. DOI: 10.1049/iet-cdt.2019.0082.
   Web of Science ®Google Scholar
• J. Samanta, J. Bhaumik, and S. Barman, “FPGA based area efficient RS(23, 17) codec,” Microsyst. Technol., Vol. 23, pp. 639–650, 2017. DOI: 10.1007/s00542-016-3058-1.
   Web of Science ®Google Scholar
• R. Rai, S. Pratap Singh, M. Lakshmanan, and V. K. Pandey, “VLSI implementation of hamming code for molecular communication,” Lecture Notes Electr. Eng., Vol. 721, pp. 685–91, 2021. DOI: 10.1007/978-981-15-9938-5_63.
   Google Scholar
• R. Rai, S. Pratap Singh, M. Lakshmanan, and V. K. Pandey, “VLSI implementation of hamming code for molecular communication,” in Advances in smart communication and imaging systems. lecture notes in electrical engineering, Vol. 721, R. Agrawal, C. Kishore Singh, and A Goyal, Eds. Singapore: Springer, 2021. DOI: 10.1007/978-981-15-9938-5_63.
   Google Scholar
• S. Ahish, Y. B. N. Kumar, D. Sharma, and M. H. Vasantha, “Design of high performance multiply-accumulate computation unit,” in Souvenir 2015 IEEE Int. Adv. Comput. Conf. IACC 2015, no. 2, 2015, pp. 915–8.
   Google Scholar
• N. Subbulakshmi, and R. Manimegalai, “MACGDI: Low power MAC based filter bank using GDI logic for hearing Aid applications,” Int. J. Electron. Electr. Eng., Vol. 5, no. 3, pp. 235–9, 2017.
   Google Scholar
• P. Ramanathan, P. Kowsalya, and P. Anitha, “Modified low power Wallace Tree multiplier using higher order compressors,” Int. J. Electron. Lett., Vol. 5, no. 2, pp. 177–88, 2016.
   Google Scholar
• S. Mohan, and N. Rangaswamy, “An improved implementation of hierarchy array multiplier using CslA adder and full swing GDI logic,” Electronics. (Basel), Vol. 21, no. 1, pp. 38–47, 2017.
   Google Scholar
• S. Mohan, and N. Rangaswamy, “Area and energy-efficient 4-2 compressor design for tree multiplier implementation,” Proc. Natl. Acad. Sci. India Sect. A Phys. Sci., Vol. 90, pp. 337–344, 2020.
   Web of Science ®Google Scholar
• A. Morgenshtein, A. Fish, and I. A. Wagner, “Gate-diffusion input (GDI): A power-efficient method for digital combinatorial circuits,” IEEE Trans. Very Large Scale Integr. Syst, Vol. 10, no. 5, pp. 566–81, 2002.
   Google Scholar
• A. Morgenshtein, I. Shwartz, and A. Fish, “Gate diffusion input (GDI) logic in standard CMOS nanoscale process,” in 2010 IEEE 26th Conv. Electr. Electron. Eng. Isr. IEEEI 2010, 2010, pp. 776–80.
   Google Scholar
• G. Ramana Murthy, C. Senthilpari, P. Velrajkumar, and T. S. Lim, “A new 6-Tmultiplexer based full-adder for low power and leakage current optimization,” IEICE Electron. Express, Vol. 9, no. 17, pp. 1434–41, 2012.
   Web of Science ®Google Scholar
• T. Bhagyalaxmi, S. Rajendar, and S. Srinivas, “Power-aware alternative adder cell structure using swing restored complementary pass transistor logic at 45 nm technology,” Procedia Mater. Sci., Vol. 10, no. Cnt 2014, pp. 789–92, 2015.
   Google Scholar
• A. A. Abouelfadl, M. A. M. El-Bendary, and F. Shawki, “Enhancing transmission over wireless image sensor networks based on ZigBee network,” Life. Sci. J., Vol. 11, no. 8, pp. 342–54, 2014.
   Google Scholar
• C.-C. Wang, L. Karlo S, C.-Y. H. Tolentino, and C.-H. Yeh, “A 40-nm CMOS multifunctional computing-in-memory (CIM) using single-ended disturb-free 7 T 1-Kb SRAM,” IEEE Trans. Very Large Scale Integrat. Syst., Vol. 29, no. 12, pp. 2172–2185, Dec. 2021.
   Web of Science ®Google Scholar
• M. A. M. El-Bendary, H. Kasban, A. Haggag, and M. A. R. El-Tokhy, “Investigating of nodes and personal authentications utilizing multimodal biometrics for medical application of WBANs security,” Multimed. Tools. Appl., Vol. 79, no. 33, pp. 24507–35, 2020.
   Web of Science ®Google Scholar
• A. Ghorbani, M. Dolatshahi, S. Mohammadali Zanjani, and B. Barekatain, “A new low-power dynamic-GDI full adder in CNFET technology,” Integr. VLSI J., Vol. 83, pp. 46–59, 2022. DOI: 10.1016/j.vlsi.2021.12.001.
   Web of Science ®Google Scholar
• M. Hasan, H. U. Zaman, M. Hossain, P. Biswas, and S. Islam, “Gate diffusion input technique based full swing and scalable 1-bit hybrid full adder for high performance applications,” Eng. Sci. Technol. Int. J., Vol. 23, pp. 1364–73, 2020. DOI: 10.1016/j.jestch.2020.05.008.
   Google Scholar
• R. K. Mistri, M. A. Ansari, M. M. Ali, M. Kumari, M. Prabhakar, and M. Kumari, “Reduced area & improved delay module design of 16-Bit hamming codec using HSPICE 22 nm technology based on GDI technique,” Int. J. Sci. Res. Publ., Vol. 4, no. 7, pp. 1–6, Jul. 2014.
   Google Scholar
• D. R. Choudhury, and K. Podder, “Design of hamming code encoding and decoding circuit using transmission gate logic,” Int. Res. J. Eng. Technol., Vol. 2, no. 7, pp. 1165–1169, Oct. 2015.
   Google Scholar
• D. Sucharitha, N. Prudhvi Raj, B. Sravya Reddy, and V. Sudheer Raja, “GDI logic based design of hamming-code encoder and decoder for error free data communication,” in Proceedings of the Third International Conference on Computing Methodologies and Communication (ICCMC 2019).
   Google Scholar
• S. Varada, S. Katpally, and S. Sri Lakshmi Thiruveedhi, “Comprehensive analysis and optimization of reliable Viterbi decoder circuits implemented in modular VLSI design logic styles,” J. Electron. Test., Vol. 36, pp. 343–363, 2020. DOI: 10.1007/s10836-020-05882-5.
   Web of Science ®Google Scholar
• E. B. Priyanka, T. Kalavathi Devi, P. Sakthivel, and A. Stephen Sagayaraj, “Gate diffusion input (GDI) codes involved Viterbi decoders in wireless sensor network for enhancing QoS service,” Analog Integrated Circ. Sig. Process., Vol. 111, pp. 287–298, 2022. DOI: 10.1007/s10470-022-02010-5.volV.
   Web of Science ®Google Scholar
• T. Kalavathi Devi, E. B. Priyanka, P. Sakthivel, and A. Stephen Sagayaraj, “Low complexity modified viterbi decoder with convolution codes for power efficient wireless communication,” Wirel. Personal Commun., Vol. 122, pp. 685–700, 2022. DOI: 10.1007/s11277-021-08919-w.
   Web of Science ®Google Scholar
• H. Kasban, S. Nassar, and M. A. M. El-Bendary, “Medical images transmission over wireless multimedia sensor networks with high data rate,” Analog. Integr. Circuits. Signal. Process., Vol. 108, no. 1, pp. 125–40, 2021.
   Web of Science ®Google Scholar
• M. A. M. El-Bendary, “Lower complexity of secured WSN networks,” in Developing security tools of WSN and WBAN networks applications. Lecture notes in electrical engineering, vol 316, Tokyo: Springer, 2015. DOI: 10.1007/978-4-431-55069-3_6.
   Google Scholar
• S. S. Nassar, and Mohsen A. M. El-Bendary, “Confidentiality considerations: multimedia signals transmission over different wireless channels utilized efficient secured model,” Multimed Tools Appl, Vol. 81, pp. 25707–25744, 2022.
   Web of Science ®Google Scholar