Journal of IKEEE (전기전자학회논문지)

Institute of Korean Electrical and Electronics Engineers (한국전기전자학회)
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A study on the design and implementation of a virus spread prevention system using digital technology

디지털 기술을 활용한 바이러스 확산 방지 시스템 설계 및 구현에 관한 연구

  • Ji-Hyun, Yoo (Dept. of Software Convergence, Jangan University)
  • Received : 2022.12.08
  • Accepted : 2022.12.20
  • Published : 2022.12.31
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Abstract

Including the COVID-19 crisis, humanity is constantly exposed to viral infections, and efforts are being made to prevent the spread of infection by quickly isolating infected people and tracing contacts. Passive epidemiological investigations that confirm contact with an infected person through contact have limitations in terms of accuracy and speed, so automatic tracking methods using various digital technologies are being proposed. This paper verify contact by utilizing Bluetooth Low Energy (BLE) technology and present an algorithm that identifies close contact through analysis and correction of RSSI (Received Signal Strength Indicator) values. Also, propose a system that can prevent the spread of viruses in a centralized server structure.

COVID-19 사태를 비롯하여 인류는 지속적인 바이러스 감염에 노출되고 있고 감염자를 신속하게 격리하고 접촉자를 추적하여 감염 확산을 방지를 위한 노력이 진행되고 있다. 연락을 통해 확진자 접촉을 확인하는 수동적인 역학조사는 정확성과 신속성 측면에서 한계가 있어 다양한 디지털 기술을 활용한 자동적인 추적 방법이 제안되고 있다. 본 논문에서는 저전력 블루투스 BLE(Bluetooth Low Energy) 기술을 활용하여 접촉을 확인하고 RSSI (Received Signal Strength Indicator) 값에 대한 분석과 보정을 통해 밀접 접촉을 식별하는 알고리즘을 제시하고, 중앙집중형 서버 구조의 바이러스 확산을 방지할 수 있는 시스템을 제안하고자 한다.

Keywords

Acknowledgement

This work was supported by Jangan University Research Grant in 2022.

References

  1. M. Shahroz, F. Ahmad, M. S. Younis, N. Ahmad, Maged N. K. Boulos, R. Vinuesa, J. Qadir, "COVID-19 Digital Contact Tracing Applications and Techniques: A Review Post Initial Deployments," arXiv e-prints, 2021. DOI:10.1016/j.treng.2021.100072.2021.
  2. P. Kumar, L. Reddy, and S. Varma, "Distance measurement and error estimation scheme for RSSI based localization in Wireless Sensor Networks," Wireless Communication and Sensor Networks (WCSN), 2009 Fifth IEEE Conference, pp.1-4, 2009. DOI: 10.1109/WCSN.2009.5434802
  3. Jagoba Arias, Aitzol Zuloaga, JesusLazaro, Jon Andreu, Armando Astarloa, "Malguki:an RSSI based ad hoc location algorithm," Microprocessors and Microsystems, pp.403-409, 2004. DOI: 10.1016/j.micpro.2004.03.001
  4. Santiago Ezpeleta, Jose M. Claver, Juan Jose Perez Solano, Jose V. Marti, "RF-Based Location Using Interpolation Functions to Reduce Fingerprint Mapping," Sensors, Vol.15, No.10, pp.27322-27340, 2015. DOI:10.3390/s151027322
  5. Kim H., Seo Y., Kim J., Yeom C., Won Y., "Mechanism for Minimizing Positional Errors Using Bluetooth Packet Information," Proceedings of the Korea Information Processing Society Conference, vol.27, no.2, pp.769-772, 2020. DOI: 10.3745/PKIPS.y2020m11a.769
  6. Su, Z., Pahlavan, K., Agu, E., "Performance Evaluation of COVID-19 Proximity Detection Using Bluetooth LE Signal," IEEE Access, vol.9, 2021. DOI: 10.1109/ACCESS.2021.3064323
  7. Z. Yan, J. Yang, and E. M. Tapia, "Smartphone Bluetooth based social sensing," Proceeding of UbiComp, pp.95-98, 2013. DOI: 10.1145/2494091.2494118
  8. Gary F. Hatke, Monica Montanari, Swaroop Appadwedula, Michael Wentz, John Meklenburg, Louise Ivers, Jennifer Watson, Paul Fiore, "Using Bluetooth Low Energy (BLE) signal strength estimation to facilitate contact tracing for COVID-19," arXiv, 2020. DOI: 10.48550/arXiv.2006.15711
  9. Lee H., Lee S., "Study on the Security Evaluations and Countermeasure of Exposure Notification Technology for Privacy-Preserving COVID-19 Contact Tracing," Journal of The Korea Institute of Information Security & Cryptology, vol.30, no.5, pp.929-943, 2020. DOI: 10.13089/JKIISC.2020.30.5.929
  10. "android-How to improve Bluetooth distance measuring using RSSI?," Stack Overflow https://stackoverflow.com/questions/27939719/how-to-improve-bluetooth-distance-measuring-using-rssi
  11. "Exposure Notification Bluetooth Specification, Google," vo1.2, 2020. https://covid19.apple.com/contacttracing