APPLICATION OF A PSEUDO-RANDOM NUMBER GENERATOR TO INCREASE THE EFFICIENCY OF SMART DUST TECHNOLOGY IN SMART HOME CONTROL

DOI: 10.31673/2412-4338.2022.045362

Abstract

The article is devoted to the use of pseudo-random number generators to improve the efficiency of Smart Dust technology in the context of smart home management.
The article examines the problem of ensuring reliable and safe interaction between Smart Dust technology and the Internet of Things (IoT) in the context of smart home management. To solve this problem, it is proposed to use generators of pseudo-random numbers. The article provides a detailed overview of Smart Dust and IoT technology, including their application in smart home management. The advantages and disadvantages of Smart Dust and IoT technology are analyzed, their possible problems with security and reliability of interaction are indicated.
Next, the article describes in detail the principles of pseudorandom number generators and their use in Smart Dust technology. In particular, research is presented on how the use of pseudo-random numbers can help improve the security and reliability of the interaction between Smart Dust technology and IoT. The article also presents a mathematical model of using Smart Dust technology using pseudo-random number generators in smart home management.
The algorithm of operation of the Smart Dust technology using a generator of pseudo-random numbers in a smart house has been built. The article provides an analysis of the effectiveness of using pseudorandom number generators for Smart Dust technology in smart home management. For this, experiments were conducted that showed that the use of pseudorandom number generators increases the efficiency of Smart Dust technology and reduces the risk of errors and incorrect system operation. The prospects of using a sequence of pseudo-random numbers in Smart Dust technology are characterized.

Keywords: Smart Dust technology, pseudo-random number generator, Internet of Things, mathematical model.

References
1. A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, M. Ayyash, "Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications", IEEE Communications Surveys & Tutorials, 2015.
2. A. G. A. Al-Ali, S. A. S. A. Al-Sumaiti, N. K. Noordin, "Survey on the Use of Pseudorandom Number Generators in Cryptography", International Journal of Computer Applications, 2015.
3. A. S. Mohammadi, A. Behrad, "Smart Dust: A review on technology, applications and challenges", International Journal of Scientific & Engineering Research, 2015.
4. Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). Wireless sensor networks: a survey. Computer networks, 38(4), 393-422.
5. Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., & Ayyash, M. (2015). Internet of things: A survey on enabling technologies, protocols, and applications. IEEE Communications Surveys & Tutorials, 17(4), 2347-2376.
6. D. E. Denning, "Cryptographic Random Numbers", Proceedings of the IEEE, 1979.
7. J. M. Kahn, R. H. Katz, K. S. J. Pister, "Emerging Challenges: Mobile Networking for "Smart Dust"", Journal of Communications and Networks, 2002.
8. Khairnar, R., & Kulkarni, S. (2018). A review on smart home technologies. International Journal of Engineering and Techniques, 4(3.8), 168-171.
9. Kim, D., & Choi, J. (2017). A review of IoT (Internet of Things) applications in residential buildings. Sustainability, 9(4), 556.
10. Kim, H. J., & Cho, H. (2019). Smart home technologies for sustainable and energy efficient households: a systematic review. Sustainability, 11(3), 640.
11. Lee, S. H., & Cho, K. R. (2018). Development and application of a smart home monitoring system based on internet of things technology. Sustainability, 10(9), 3299.
12. M. Srbinovska, I. Trajkovikj, "Smart Dust Technology: A Review of the Research, Opportunities, and Challenges", IEEE Access, 2019.
13. Poon, C. C., & Zhou, X. (2014). Wireless smart-home healthcare system using radio frequency identification and sensors. IEEE transactions on information technology in biomedicine, 18(4), 1264-1273.
14. S. C. Mukhopadhyay, A. Leggett, "Smart Dust and Wireless Sensor Networks", Measurement Science and Technology, 2011.
15. S. Verma, S. Kumar, "Smart Dust Sensor Networks: A Review", International Journal of Computer Science and Engineering, 2016.
16. Smart Dust Research Group. (1999). Smart Dust: Autonomous sensing and communication in a cubic millimeter. Retrieved from https://www.eecs.berkeley.edu/Pubs/TechRpts/1999/5216.html
17. Wang, H., & Wang, X. (2014). Smart home systems: a survey of recent advances and challenges. Journal of Ambient Intelligence and Humanized Computing, 5(2), 153-164.
18. Yick, J., Mukherjee, B., & Ghosal, D. (2015). Wireless sensor network survey. Computer networks, 52, 2292-2330.