Skip to main content
Log in

Design approach of FPGA based efficient data compression technique (TS \({D}^{2}\) NIS) in FC technology for data transmission

  • Published:
Multimedia Tools and Applications Aims and scope Submit manuscript

Abstract

The avionic environment requires a high speed data connecting medium due to continuous advances in computer processor and peripheral performance. The mode of communication should be able to send accurate information over a long distance. The interconnecting technology must be serial and asynchronous in order to satisfy all of these requirements. High-speed and low-latency communication between the end systems is made possible via fibre channels. FC protocol is proposed in this study to speed up data communication compared to existing protocols significantly. Because of its tiny size, high integration, rapid speed, parallel processing, and programmable capabilities, FPGA is widely employed in a variety of sectors. Therefore, the FPGA-based FC with enhanced data compression methods is proposed and implemented in this research. The FC module is embraced with three major modules, namely serial to parallel (S/P) conversion module (S/P CM), link initialization module (LIM), and frame process module (FPM). The transformation of the optical signal to a digital signal, serial to parallel or parallel to serial, is employed in the first module. Also, this study investigates the Gigabit transceiver (GTH) with its functional modules. With a maximum data rate of 13.1 Gbps, the GTH is more potent than the Gigabit Transceiver with Low Power (GTP). The GTH module uses less power and includes configurable user-defined features and parameters. In addition, in the first module, the enhanced data compression technique is proposed for an efficient data transfer and is termed a time series delta difference neighbourhood indexing sequence (TSD2NIS) model. The LIM module includes the receiver, transmitter, and port state machine. The initialization of each fibre channel port’s link is controlled by a port state machine, which may also guarantee the recovery of link errors and regular transmission of data. The FPM module seeks to deal with frame protocols. The experimental results show the proposed architecture has flexible scalability and strong performance in high-speed data transmission using the FC protocols. The proposed work is simulated using Xilinx ISE tools, and the Virtex 7 FPGA family and comparative study were conducted. It attains a compression ratio of 40%, delay of 0.33 ns and frequency of 321.425 MHZ, respectively.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14

Similar content being viewed by others

Data availability

Data sharing does not apply to this article.

References

  1. Tao F, Zuo Y, Xu LD, Zhang L (2014) IoT-based intelligent perception and access of manufacturing resource toward cloud manufacturing. IEEE Trans Industr Inf 10(2):1547–1557

    Article  Google Scholar 

  2. Qi Q, Tao F (2017) Digital twin and big data towards smart manufacturing and industry 4.0: 360 degree comparison. IEEE Access 6:3585–3593

    Article  Google Scholar 

  3. Fei TAO, Qinglin QI (2017) New IT driven service—oriented smart manufacturing: framework and characteristics [J]. IEEE Trans Syst Man Cybern Syst

  4. Kafle VP, Fukushima Y, Harai H (2016) Internet of things standardization in ITU and prospective networking technologies. IEEE Commun Mag 54(9):43–49

    Article  Google Scholar 

  5. Naushad F, Dehriya S (2017) Testing methodology for fibre channel protocol in avionics applications. In 2017 International Conference on Recent Advances in Electronics and Communication Technology (ICRAECT) IEEE, p 1–4

  6. Patil SB, Nesaragi N, Kumar BP, Ananda CM (2015) a novel approach for fiber channel based video protocol. In 2015 International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM) IEEE, p 307–312

  7. Archana S, Hiremath S, Kumar BP, Ananda CM (2016) Design and implementation of fiber channel data analyzer. In 2016 International Conference on Control, Computing, Communication and Materials (ICCCCM) IEEE, p 1–6

  8. Meng Z, Tu X, Xie J (2010) Design and implementation of fiber channel interface card on avionics environment networks. In International Conference on Computational Problem-Solving IEEE, p 399–401

  9. Liu L, Liu C, Peng Y, Liu D (2013) A design of fibre channel node with pci interface. In 2013 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). p 1817–1822

  10. Zhang F, Zhang F  (2020) Implementation and application of FC protocol. High-speed Serial Buses in Embedded Systems 343–366

  11. Bassinan O, Ahadian J, Beranek M, Campillo A, Estrella SB, Grant HR, Kebort D et al (2023) Toward future generation digital avionics fiber optic communication. In: Next-generation optical communication: components, sub-systems, and systems XII, vol. 12429. SPIE, pp 244–257

  12. Qiao J, Wang Z, Fu P, Li W, Guo Z, Feng L, Zheng W, Meng S, Wang L (2020) Design and Implementation of FC-AE Fault Simulation Instrument. In 2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC). p 1–6

  13. Wang K, Zhang Y, Wang L, Ning Y (2022) Design and implementation of FC-AE-ASM data acquisition and forwarding system. In: 2022 7th International conference on intelligent computing and signal processing (ICSP). IEEE, pp 1374–1377

  14. Ivanova DL, Kutepov SV, Dyumin AA (2020) Fibre Channel Switch Port State Machine Analysis Based on the Port Log Dump. In 2020 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus) 24–27.

  15. Fu N, Tong W, Zhao Y (2023) Strong real-time transmission technology of lossless video based on fibre channel. In: International conference on image, signal processing, and pattern recognition (ISPP 2023), vol. 12707. SPIE, pp 31–39

  16. Azar J, Makhoul A, Couturier R, Demerjian J (2020) Robust IoT time series classification with data compression and deep learning. Neurocomputing 398:222–234

    Article  Google Scholar 

  17. Helal EB, Saad OM, Hafez AG, Chen Y, Dousoky GM (2021) Seismic data compression using deep learning. IEEE Access 9:58161–58169

    Article  Google Scholar 

  18. Yang S, Tan J, Chen B (2022) Robust spike-based continual meta-learning improved by restricted minimum error entropy criterion. Entropy 24(4):455

    Article  ADS  MathSciNet  PubMed  PubMed Central  Google Scholar 

  19. Yang S, Tan J, Lei T and Linares-Barranco B (2023) Smart traffic navigation system for fault-tolerant edge computing of internet of vehicle in intelligent transportation gateway. IEEE Trans Intell Transp Syst

  20. Yang S, Pang Y, Wang H, Lei T, Pan J, Wang J, Jin Y (2023) Spike-driven multi-scale learning with hybrid mechanisms of spiking dendrites. Neurocomputing 542:126240

    Article  Google Scholar 

  21. Yang S, Wang J, Deng B, Azghadi MR, Linares-Barranco B (2021) Neuromorphic context-dependent learning framework with fault-tolerant spike routing. IEEE Trans Neural Netw Learn Syst 33(12):7126–7140

    Article  Google Scholar 

  22. Narapureddy P, Ananda CM, Kumar BP, Kumar EPJ (2016) Design and implementation of fiber channel based high speed serial transmitter for data protocol on FPGA. In 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT). p 926–931

  23. Kumar P, Ananda CM, Lakshminarayanan G (2019) Design Approach for FPGA based High Bandwidth Fibre Channel Analyser for Aerospace Application. In 2019 4th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT). p 223–227

  24. Dinesh MV, Ananda CM, Kumar BP, Kumar EPJ (2016) Design and implementation of fiber channel based high speed receiver protocol for avionics on FPGA. In 2016 IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT). p 1195–1200

  25. Prakash M, Ananda CM (2017) Design and implementation of high speed transmitter based on fiber channel protocol. In 2017 2nd IEEE International Conference on Recent Trends in Electronics, Information & Communication Technology (RTEICT). p 835–841

  26. Xu D, Wang T, Li Q (2013) Container over FC-AE-ASM: A method for mixed data transmission in avionics systems. In 2013 15th International Conference on Advanced Communications Technology (ICACT) IEEE. p 110–115

  27. Hanumanthaiah A, Gopinath A, Arun C, Hariharan B, Murugan R (2019) Comparison of lossless data compression techniques in low-cost low-power (LCLP) IoT systems. In 2019 9th International Symposium on Embedded Computing and System Design (ISED) IEEE. p 1–5

  28. Saidani A, Jianwen X, Mansouri D (2020) a lossless compression approach based on delta encoding and T-RLE in WSNs. Wirel Commun Mob Comput 2020:1–10

    Article  Google Scholar 

  29. Choi S, Kim Y, Lee D, Lee S, Park K, Song YH, Song YH (2019) Design of FPGA-based LZ77 compressor with runtime configurable compression ratio and throughput. IEEE Access 7:149583–149594

    Article  Google Scholar 

  30. Uthayakumar J, Vengattaraman T, Dhavachelvan P (2019) A new lossless neighborhood indexing sequence (NIS) algorithm for data compression in wireless sensor networks. Ad Hoc Netw 83:149–157

    Article  Google Scholar 

  31. Chouakri SA, Taleb-Ahmed A (2018) Quantized Run Length Encoding QRLE-New Compression Method-: Application to ECG Transmission via IEEE802. 11b WLAN Channel. In 2018 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT) IEEE. p 1–8

  32. Abdulzahra SA, Al-Qurabat AKM, Idrees AK (2020) Data reduction based on compression technique for big data in IoT. In 2020 international conference on emerging smart computing and informatics (ESCI) IEEE. p 103–108

  33. Jancy S, Helen S, Selven MP, Mary AVA, Antopraveena MD, Roobini MS (2021) Modified Chorological Coded Data Compression Methodology for Wireless Sensor Networks. In Journal of Physics: Conference Series. IOP Publishing, 1770(1): 012026

  34. Tao F, Tang Y, Zou X, Qi Q (2019) A field programmable gate array implemented fibre channel switch for big data communication towards smart manufacturing. Robot Comput Integr Manuf 57:166–181

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Contributions

All authors have equal contributions in this work.

Corresponding author

Correspondence to Manimaran Ponnusamy.

Ethics declarations

Ethical approval

This article does not contain any studies with human participants or animals performed by authors.

Consent to participate

All the authors involved have agreed to participate in this submitted article.

Consent to publish

All the authors involved in this manuscript give full consent to publish this submitted article.

Conflict of interest

Authors declare that they have no conflict of interest.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Muntha, K.C., Ponnusamy, M. Design approach of FPGA based efficient data compression technique (TS \({D}^{2}\) NIS) in FC technology for data transmission. Multimed Tools Appl 83, 32321–32341 (2024). https://doi.org/10.1007/s11042-023-16896-4

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11042-023-16896-4

Keywords

Navigation