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Application of Branchless Programming in Internet of Things

Year 2023, Volume: IDAP-2023 : International Artificial Intelligence and Data Processing Symposium Issue: IDAP-2023, 83 - 89, 18.10.2023
https://doi.org/10.53070/bbd.1350343

Abstract

Increasing its effectiveness in various fields from smart homes to industrial automation,
from health services to military weapon systems, the Internet of Things is becoming more and more
involved in our lives as a critical component of the digital transformation in today's world. With the
widespread use of the Internet of Things, the Internet of Things is becoming a more complicated
subject. Due to the fact that IoT devices are end-processing units, reducing the energy they consume
and transforming them into more flexible and more compact structures has become a wide application
area, despite the expansion of their application areas, both individually and as a whole. For this
reason, performance-oriented programming of the microprocessors used in these systems is important,
as well as light weight encryption algorithms, data compression techniques and special hardware
designs. In this study, Branchless Programming techniques, a new concept aiming to increase
performance by combinatorial replacement of conditional structures, arithmetic operators and logic
operators, have been applied in the field of Internet of Things. As a result of the implementation, the
system was compared with traditional methods in terms of time and space complexity. In line with the
results obtained, it has been determined that the correct use of Branchless Programming techniques in
the most appropriate scenarios provides a significant performance increase and a visible storage space
savings.

References

  • Chowdhury, M. R., Tripathi, S., & De, S. (2020). Adaptive multivariate data compression in smart metering Internet of Things. IEEE Transactions on Industrial Informatics, 17(2), 1287-1297.
  • HaddadPajouh, H., Dehghantanha, A., Parizi, R. M., Aledhari, M., & Karimipour, H. (2021). A survey on internet of things security: Requirements, challenges, and solutions. Internet of Things, 14, 100129.
  • J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, “Internet of things (iot): A vision, architectural elements, and future directions,” Future Generation Computer Systems, vol. 29, no. 7, pp. 1645–1660, 2013.
  • Khan, M. Z., Alhazmi, O. H., Javed, M. A., Ghandorh, H., & Aloufi, K. S. (2021). Reliable Internet of Things: Challenges and future trends. Electronics, 10(19), 2377.
  • Li, X., Liu, Y., Ji, H., Zhang, H., & Leung, V. C. (2019). Optimizing resources allocation for fog computing-based Internet of Things networks. IEEE Access, 7, 64907-64922.
  • Mangla, M., Kumar, A., Mehta, V., Bhushan, M., & Mohanty, S. N. (Eds.). (2022). Real-life applications of the Internet of Things: Challenges, applications, and advances.
  • Qadri, Y. A., Nauman, A., Zikria, Y. B., Vasilakos, A. V., & Kim, S. W. (2020). The future of healthcare internet of things: a survey of emerging technologies. IEEE Communications Surveys & Tutorials, 22(2), 1121-1167.
  • R. Want and S. Dustdar, “Activating the internet of things [guest editors’ introduction],” Computer, vol. 48, no. 9, pp. 16–20, 2015.
  • Wang, Z., Liu, Y., Sun, Y., Li, Y., Zhang, D., & Yang, H. (2015, May). An energy-efficient heterogeneous dual-core processor for Internet of Things. In 2015 IEEE international symposium on circuits and systems (ISCAS) (pp. 2301-2304). IEEE.
  • Zafar, S., Bhatti, K. M., Shabbir, M., Hashmat, F., & Akbar, A. H. (2022). Integration of blockchain and Internet of Things: Challenges and solutions. Annals of Telecommunications, 1-20.

Nesnelerin İnternetinde Dallanmasız Programlama Tekniklerinin Uygulanması

Year 2023, Volume: IDAP-2023 : International Artificial Intelligence and Data Processing Symposium Issue: IDAP-2023, 83 - 89, 18.10.2023
https://doi.org/10.53070/bbd.1350343

Abstract

Akıllı evlerden endüstriyel otomasyona, sağlık hizmetlerinden askeri silah sistemlerine
kadar çeşitli alanlarda etkinliğini gittikçe arttıran Nesnelerin İnterneti, günümüz dünyasındaki dijital
dönüşümün kritik bir bileşeni olarak her geçen gün hayatımıza daha fazla dahil olmaktadır.
Kullanımının alanlarının yaygınlaşması ile Nesnelerin İnterneti daha çetrefilli bir konu haline
gelmektedir. Nesnelerin İnterneti cihazları uç işlem birimleri olmaları sebebiyle, gerek tekil gerek bir
bütün olarak uygulama alanlarının genişlemesine rağmen tükettikleri enerjinin azaltılması ve daha
esnek, daha kompakt yapılara dönüştürülmesi, geniş bir uygulama alanı haline gelmiştir. Bu nedenle
hafif siklet şifreleme algoritmaları, veri sıkıştırma teknikleri ve özel donanımsal tasarımlarının
yanında bu sistemlerde kullanılan mikroişlemcilerin performans odaklı programlanması da önem arz
etmektedir. Bu çalışmada, koşullu yapıların aritmetik operatörlerin ve mantık operatörlerinin
kombinasyonel olarak değiştirilmesiyle performans artışını hedefleyen yeni bir konsept olan
Dallanmasız Programlama teknikleri Nesnelerin İnterneti alanında uygulanmıştır. Gerçekleştirilen
uygulama sonucunda sistem geleneksel yöntemlerle zaman ve uzay karmaşıklığı açısından
kıyaslanmıştır. Elde edilen sonuçlar doğrultusunda Dallanmasız Programlama tekniklerinin en uygun
senaryolarda doğru şekilde kullanılmasıyla ciddi manada performans artışı ve gözle görülebilir şekilde
depolama alanı tasarrufu sağladığı saptanmıştır.

References

  • Chowdhury, M. R., Tripathi, S., & De, S. (2020). Adaptive multivariate data compression in smart metering Internet of Things. IEEE Transactions on Industrial Informatics, 17(2), 1287-1297.
  • HaddadPajouh, H., Dehghantanha, A., Parizi, R. M., Aledhari, M., & Karimipour, H. (2021). A survey on internet of things security: Requirements, challenges, and solutions. Internet of Things, 14, 100129.
  • J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, “Internet of things (iot): A vision, architectural elements, and future directions,” Future Generation Computer Systems, vol. 29, no. 7, pp. 1645–1660, 2013.
  • Khan, M. Z., Alhazmi, O. H., Javed, M. A., Ghandorh, H., & Aloufi, K. S. (2021). Reliable Internet of Things: Challenges and future trends. Electronics, 10(19), 2377.
  • Li, X., Liu, Y., Ji, H., Zhang, H., & Leung, V. C. (2019). Optimizing resources allocation for fog computing-based Internet of Things networks. IEEE Access, 7, 64907-64922.
  • Mangla, M., Kumar, A., Mehta, V., Bhushan, M., & Mohanty, S. N. (Eds.). (2022). Real-life applications of the Internet of Things: Challenges, applications, and advances.
  • Qadri, Y. A., Nauman, A., Zikria, Y. B., Vasilakos, A. V., & Kim, S. W. (2020). The future of healthcare internet of things: a survey of emerging technologies. IEEE Communications Surveys & Tutorials, 22(2), 1121-1167.
  • R. Want and S. Dustdar, “Activating the internet of things [guest editors’ introduction],” Computer, vol. 48, no. 9, pp. 16–20, 2015.
  • Wang, Z., Liu, Y., Sun, Y., Li, Y., Zhang, D., & Yang, H. (2015, May). An energy-efficient heterogeneous dual-core processor for Internet of Things. In 2015 IEEE international symposium on circuits and systems (ISCAS) (pp. 2301-2304). IEEE.
  • Zafar, S., Bhatti, K. M., Shabbir, M., Hashmat, F., & Akbar, A. H. (2022). Integration of blockchain and Internet of Things: Challenges and solutions. Annals of Telecommunications, 1-20.
There are 10 citations in total.

Details

Primary Language Turkish
Subjects Cyberphysical Systems and Internet of Things, High Performance Computing
Journal Section PAPERS
Authors

Muhammed Saadetdin Kaya 0000-0003-1749-5604

Kenan İnce 0000-0003-4709-9557

Publication Date October 18, 2023
Submission Date September 2, 2023
Acceptance Date October 16, 2023
Published in Issue Year 2023 Volume: IDAP-2023 : International Artificial Intelligence and Data Processing Symposium Issue: IDAP-2023

Cite

APA Kaya, M. S., & İnce, K. (2023). Nesnelerin İnternetinde Dallanmasız Programlama Tekniklerinin Uygulanması. Computer Science, IDAP-2023 : International Artificial Intelligence and Data Processing Symposium(IDAP-2023), 83-89. https://doi.org/10.53070/bbd.1350343

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