Skip to main content

An Extensive Study on Logic Emerging IoT Adiabatic Techniques for Low-Power Circuit

  • Conference paper
  • First Online:
Intelligent Cyber Physical Systems and Internet of Things (ICoICI 2022)

Abstract

A low-power, energy-efficient circuit is essential for IoT edge devices, which increasingly perform data-intensive applications. Nanometer technology nodes push standard CMOS to its limits, which include increased leakage and increased power consumption. Appropriate algorithms for low-power circuits include adiabatic logic and approximation computing. It is possible to construct circuits that are more energy efficient by using adiabatic logic. The adiabatic logic's dual-rail construction and power clock approach, on the other hand, increase the overall footprint. More power is conserved by lowering the circuit's complexity and size while utilising approximation computing. For the Internet of Things (IoT), energy efficiency, and security, adiabatic circuits have the potential to work together. IoT-RF-powered devices can benefit greatly from adiabatic circuits even though they have been around for more than six decades, as demonstrated by some of the recent advancements. These enhancements are described in detail, with an emphasis on the main design challenges and opportunities associated with adiabatic circuits.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 249.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 249.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Caro F, Sadr R (2019) The internet of things (IoT) in retail: bridging supply and demand. Bus Horiz 62(1):47–54

    Article  Google Scholar 

  2. Chen J, Ran X (2019) Deep learning with edge computing: a review. Proc IEEE 107(8):1655–1674

    Article  Google Scholar 

  3. Madushanki AAR, Halgamuge MN, Wirasagoda WAHS, Ali S (2019) Adoption of the internet of things (IoT) in agriculture and smart farming towards urban greening: a review

    Google Scholar 

  4. Networking CV (2016) Cisco global cloud index: forecast and methodology, 2015–2020. White paper. Cisco Public, San Jose, 2016

    Google Scholar 

  5. Yu W, Liang F, He X, Hatcher WG, Lu C, Lin J, Yang X (2019) A survey on the edge computing for the internet of things. IEEE Access 6:6900–6919

    Google Scholar 

  6. Azar J, Makhoul A, Barhamgi M, Couturier R (2019) An energy efficient IoT data compression approach for edge machine learning. Future Gener Comput Syst 96:168–175

    Google Scholar 

  7. Moon Y, Jeong D-K (1996) An efficient charge recovery logic circuit. IEEE J Solid-State Circuits 31(4)

    Google Scholar 

  8. Rajesh A, Raju BL, Reddy KCK (2014) Reduction of power dissipation & parameter variation in VlSI circuits for SOC. Int J Rev Electron Commun Eng (IJRECE) 2(3)

    Google Scholar 

  9. Landauer R (1961) Irreversibility and heat generation in the computing process. IBM J Res Dev 5(3):183–191

    Article  MathSciNet  MATH  Google Scholar 

  10. Frank MP (2005) Introduction to reversible computing: motivation, progress, and challenges. In: Conferences on computing frontiers, pp 385–390

    Google Scholar 

  11. Moon Y, Jeong D-K (1996) An efficient charge recovery logic circuit. IEEE J Solid-State Circuits 31(4):514–522

    Article  Google Scholar 

  12. Gong C-SA, Shiue M-T, Hong C-T, Yao K-W (2008) Analysis and design of an efficient irreversible energy recovery logic in 0.18-m cmos. IEEE Trans Circuits Syst I Regul Pap 55(9):2595–2607

    Article  MathSciNet  Google Scholar 

  13. Maksimovic D, Oklobdzija V, Nikolic B, Current KW (1977) Clocked cmos adiabatic logic with integrated single-phase power-clock supply: experimental results. In: International symposium on low power electronics and design, pp 323–327

    Google Scholar 

  14. Celis-Cordova R et al (2019) Design of a 16-bit adiabatic microprocessor. In: IEEE international conference on rebooting computing, 2019, pp 1–4

    Google Scholar 

  15. Wan T, Karimi Y, Stanacević M, Salman E (2017) Perspective paper—can AC computing be an alternative for wirelessly powered iot devices? IEEE Embed Syst Lett 9(1):13–16

    Google Scholar 

  16. Wan T, Karimi Y, Stanacevic M, Salman E (2017) Energy efficient AC computing methodology for wirelessly powered IoT devices. In IEEE Int Symp Circuits Syst

    Google Scholar 

  17. Wan T, Karimi Y, Stanaćević M, Salman E (2019) Ac computing methodology for RF-powered IoT devices. IEEE Trans Very Large-Scale Integr Syst 27(5):1017–1028

    Google Scholar 

  18. Huang Y, Wan T, Salman E, Stanacevic M (2019) Signal shaping at interface of wireless power harvesting and ac computational logic. In: IEEE international symposium on circuits and systems, May 2019

    Google Scholar 

  19. Moon Y, Jeong D-K (1996) An efficient charge recovery logic circuit. Solid-State Circuits IEEE J 31(4):514–522

    Article  Google Scholar 

  20. Wan T, Salman E, Stanacevic M (2016) A new circuit design framework for IoT devices: charge recycling with wireless power harvesting. In: IEEE international symposium on circuits and systems, May 2016

    Google Scholar 

  21. Avital M et al (2015) DPA-secured quasi-adiabatic logic (SQAL) for low-power passive RFID tags employing S-boxes. IEEE Trans Circuits Syst I Regul Pap 62(1):149–156

    Article  Google Scholar 

  22. Lu S, Zhang Z, Papaefthymiou M (2015) 1.32 GHz high-throughput charge-recovery AES core with resistance to DPA attacks. In: IEEE symposium on VLSI circuits, June 2015, pp C246–C247

    Google Scholar 

  23. Kumar SD, Thapliyal H, Mohammad A (2018) Finsal: finfetbased secure adiabatic logic for energy-efficient and DPA resistant IoT devices. IEEE Trans Comput-Aided Des Integr Circ Syst 37(1):110–122

    Google Scholar 

  24. Wan T, Salman E (2018) Ultra low power simon core for lightweight encryption. In: IEEE International symposium on circuits and systems, May 2018

    Google Scholar 

  25. Leff HS, Rex AF (eds) (2003) Maxwell’s Demon 2: entropy, classical and quantum information, computing. Institute of Physics Publishing

    Google Scholar 

  26. Schlaffer A, Nossek JA, Is there a connection between adiabatic switching and reversible computing? Institute for Network Theory and Circuit Design, Munich University of Technology, http://citeseer.nj.nec.com/schlaffer97is.html

  27. Frank MP (1999) Reversibility for efficient computing, manuscript based on Ph.D. thesis, Dec. 1999, http://www.cise.ufl.edu/~mpf/-manuscript, §7.6.4, pp 197–199

  28. Zurek WH (2002) Decoherence, einselection, and the quantum origins of the classical. Preprint http://arxiv.org/abs/quant-ph/-0105127

  29. Hall JS (1992) An electroid switching model for reversible computer architectures. In: PhysComp ’92 (ibid. [2]), pp 237–247

    Google Scholar 

  30. Younis SG, Knight TF Jr (1994) Asymptotically zero energy split-level charge recovery logic. In: International workshop on low power design, pp 177–182. http://www.cise.ufl.edu/~mpf/-scrl94.pdf

  31. Younis SG (1994) Asymptotically zero energy computing using split-level charge recovery logic. Ph.D. thesis, MIT EECS Dept. http://www.cise.ufl.edu/~mpf/younis-phd.ps

  32. Vieri C, Ammer MJ, Amory Wakefield L (1998) “Johnny” Svensson, William Athas, and tom knight “designing reversible memory,” unconventional models of computation, Springer, pp 386–405

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to T. Vijayalakshmi .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Vijayalakshmi, T., Selvakumar, J. (2023). An Extensive Study on Logic Emerging IoT Adiabatic Techniques for Low-Power Circuit. In: Hemanth, J., Pelusi, D., Chen, J.IZ. (eds) Intelligent Cyber Physical Systems and Internet of Things. ICoICI 2022. Engineering Cyber-Physical Systems and Critical Infrastructures, vol 3. Springer, Cham. https://doi.org/10.1007/978-3-031-18497-0_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-18497-0_17

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-18496-3

  • Online ISBN: 978-3-031-18497-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics