Applications of wireless sensor networks in healthcare

Authors

  • Fatmir Basholli
  • Erda Qorri
  • Joana Minga

DOI:

https://doi.org/10.55312/op.vi2.4807

Abstract

Body Sensor Networks BSN is a special kind of Wireless Sensory Networks. Differently from traditional sensors which have to work in various environments and circumstances, body sensors are designed to work in the human body or inside the body by implanting them. A continuous monitoring through BSN wireless sensors can guarantee the correct diagnostics and analyzing not only of the health problem, but that of the causes and conditions where it mostly appears which are those of patients’ habitual everyday life. The purpose of this article is the study of BSN as a new technology which has completely different purposes and functions from the traditional sensory networks (WSN), by giving the logical reasons of this choice with the diverse technical differences between them.

Keywords:

sensors,, wireless communication,, diagnostics,, monitoring,, vital parameters

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References

  1. J. Adams, (2005). “Building Low Power Wireless Sensor Networks Using ZigBee Technology”, Embedded Healthcare Systems Resource Guide, Networking: Technology. 2005.

  2. Fatmir Basholli, Bexhet Kamo, (2023), Regenerative energy management algorithm-reuse in systems supplied with UPS. ICITEE23, ISBN:978-9928-805-28-7, pages 159-162

  3. Ko, J. G., Cho, Y. H. and Kim, H., (2009). Performance Evaluation of IEEE 802.15.4 MAC with Different Backoff Ranges in Wireless Sensor Networks, In:IEEE International Conference on Communication Systems, Oct 2009 Singapore.

  4. JIOT.2014.2325071 Allegretti, M. (2014). Concept for floating and submersible wireless sensor network for water basin monitoring. Wireless Sensor Network, 06(06), 104–108. doi:10.4236/wsn.2014.66011

  5. Fatmir Basholli, (2018). Aplikime te elektronikes ne telemjekesi. Optime,Reviste shkencore e “Albanian University”,ISSN:2220-461X, Viti i IX, Nr 2, Dhjetor 2018,faqe129-143

  6. Brinis, N., & Saidane, L. (2016). Context-aware wireless sensor network suitable for precision agriculture. Wireless Sensor Network, 8(1), 1–12. doi:10.4236/wsn.2016.81001

  7. Chachin, P. (2017). IoT is making its way into housing and utility infrastructure. Electronics: Science, Technology, Business, (6), 138–142. doi: 10.22184/1992-4178.2017.166.6.138.142

  8. Chao, C., & Hsiao, T. (2014). Design of unstructured and energy-balanced data collection in wireless sensor networks. Journal of Network and Computer Applications, 37, 229–239. doi:10.1016/j.jnca.2013.02.013

  9. Chen, C. (2016). A fuzzy indoor positioning system with ZigBee Wireless sensors. Journal of Electrical and Electronics Engineering (Oradea), 4(5), 97. doi:10.11648/j.jeee.20160405.12

  10. Mema, B., Basholli, F., & Hyka, D. (2023). ChatGPT in Albanian higher education: Transforming learning and virtual interaction. Advanced Engineering Days, 8, 23-27

  11. Condon, S. (2018). IoT will account for nearly half of connected devices by 2020, Cisco says. ZDNet. Retrieved from http://www.zdnet.com/article/ iot-will-account-for-nearly-half-of-connecteddevices-by-2020-cisco-says

  12. Harizaj, M., Bisha, I., & Basholli, F. (2023). IOT integration of electric vehicle charging infrastructure. Advanced Engineering Days (AED), 6, 152-155.

  13. Dogan, G. (2016). ProTru: An Origin-Based Trust Architecture for Wireless Sensor Networks.International Journal of Network Management, 26(2), 131–151. doi:10.1002/nem.1925

  14. Kashyap, R., & Gautam, P. (2017). Fast medical image segmentation using energy-based method.Biometric. Concepts, Methodologies, Tools and Applications, 3(1), 1017–1042. doi: 10.4018/978-1-5225-0983-7.ch040

  15. Basholli, F., Daberdinİ, A., & Basholli, A. (2023). Detection and prevention of intrusions into computer systems. Advanced Engineering Days (AED), 6, 138-141.

  16. Kashyap, R., Gautam, P., & Tiwari, V. (2018). Management and Monitoring Models and Future Field. In Handbook of Research on Model Engineering System Development for Big Data Analytics. IGI Global. doi: 10.4018/9781-5225-3870-7.ch014

  17. Kashyap, R., & Piersson, A. (2018a). Big data challenges and solutions in medical industries. In Handbook of Research on Model Engineering System Development for Big Data Analytics. IGI Global. doi: 10.4018/9781-5225-3870-7.ch001

  18. Basholli, F., Mezini, R., & Basholli, A. (2023). Security in information systems components. Advanced Engineering Days (AED), 7, 185-187.

  19. Daberdini, A., Basholli, F., Metaj, N., & Skenderaj, E. (2022). Cybersecurity by mail with Fortiweb and Fortinet for companies and institutions. Advanced Engineering Days (AED), 5, 81-83.

  20. Kashyap, R., & Piersson, A. (2018b). The Impact of Big Data on Security. In Manual of Research on Network Forensics and Analysis Techniques (pp. 283–299). IGI Global. doi:10.4018/978-1-5225- 4100-4.ch015

  21. Kashyap, R., & Tiwari, V. (2018). Active contours using global models for medical image segmentation. International Journal of Computational Systems Engineering, 4(2/3), 195. doi:10.1504/IJCSYSE.2018.091404

  22. Hyka, D., Hyra, A., Basholli, F., Mema, B., & Basholli, A. (2023). Data security in public and private administration: Challenges, trends and effective protection in the age of digitization. Advanced Engineering Days (AED), 7, 125-127.

  23. Kuang, J., Niu, X., & Chen, X. (2018). MEMS-IMU based robust pedestrian dead reckoning for smartphones. Sensors (Basel), 18(5), 1391. doi:10.339018051391 PMID:29724003

  24. Li, J., Jin, J., Yuan, D., & Zhang, H. (2018). Virtual Fog: A virtualization-enabled fog computing framework for the Internet of Things. IEEE Internet Of Things Journal, 5(1), 121–131. doi:10.1109/JIOT.2017.2774286

  25. Mema, B., Basholli, F., Xhafaj, D., Basholli, A., & Hyka, D. (2023). Internet of things in the development of future businesses in Albania. Advanced Engineering Days, 7, 139-141.

  26. Morain, S., Kass, N., & Grossmann, C. (2016). What enables a health care system to become a learning health care system: Findings from interviews with health system leaders. Learning HealthSystems, 1(1), e10015. doi: 10.1002/ lrh2.10015

  27. Works, W. (2018). Cisco Visual Networking Index: Forecast and Methodology, 2016–2021. Retrievedfrom http://www.cisco.com/c/en/us/solutions/collateral/service-provider/visual-networking-indexvni/complete-whitepaper-c11-481360.html

  28. Hyka, D., & Basholli, F. (2023). How secure are our medical records? Is Albania ready for the digitization of the health care system?. Engineering Applications, 2 (3), 235-242.

  29. Snyder, T., & Byrd, G. (2017). The Internet of Everything. Computer, 50(6), 8–9. doi:10.1109/ MC.2017.179 Wang, X., & Zhang, Z. (2015). Data sharing scheme based on homomorphic encryption in healthcare WSNs. Journal of Medical Systems, 39 (12), 188. doi:10.100710916-015-0340-1

  30. Xu, L., Collier, R., & O’Hare, G. (2017). A survey of clustering techniques in WSNs and examination of the challenges of applying such in 5G IoT scenarios. IEEE Internet Of Things Journal, 4 (5),1229–1249. doi:10.1109/ JIOT.2017.2726014

  31. Basholli, A., Mema, B., Basholli, F., Hyka, D., & Salillari, D. (2023). The role of education in cyber hygiene. Advanced Engineering Days (AED), 7, 178-181.

  32. Zhang, P., Nagarajan, S., & Nevat, I. (2017). Secure Location of Things (SLOT): Mitigating Location Spoofing Attacks in the Internet of Things. IEEE Internet Of Things Journal, 4 (6), 2199–2206. doi:10.1109/JIOT.2017.275357

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Published

2024-06-14

How to Cite

Basholli, F., Qorri, E., & Minga, J. (2024). Applications of wireless sensor networks in healthcare. Optime, (2), 146–158. https://doi.org/10.55312/op.vi2.4807

Issue

No. 2 (2023): Optime

Section

Articles