Advertisement

An Efficient Remote Disaster Management Technique Using IoT for Expeditious Medical Supplies to Affected Area: An Architectural Study and Implementation

  • Vidyadhar Aski
  • Sanjana Raghavendra
  • Akhilesh K. Sharma
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 836)

Abstract

Creating technology enhanced optimized strategies to handle the subsequent healthcare issues emerged from natural calamities and disaster has now become more tranquil with the latest advancements in networking and low power electronics. Proposed system addresses an immediate action plan in accordance with the various adverse medical affronts during and post disaster events. The study focuses on developing strategies for disaster management in India, where flooding of rivers is one of the frequently occurring drastic event around the years in various regions resulting many people died due to unavailability of medical facilities. There are many studies conducted which proves that managing medical emergencies like cardiac seizure during such disasters where doctors unable to reach in these remotely affected areas due to damaged transportation systems by flood and they are struggling to provide prompt delivery of medical as well as relief to the remotely affected areas. Thus, it is gaining significant attention by disaster management organizations. Therefore, this study proposes a classic solution for handling various medical emergencies that occurs during and post disaster events. The system uses the drones to carry a weight of 1.5 kg to 2 kg medical kits to the affected areas. Miniaturized IoT based medical devices are designed with various Wireless Body Area Sensors (WBAS) and actuators. Along with a defibrillator unit and ECG analyzer. These medical kits are placed in a connected drone and this will drive to the affected areas aerially. All the devices are IoT enabled and are connected through the central cloud infrastructure of hospital by which medical experts can access the required medical parameters and convey the instructions through drone to a caretaker in real time to perform related events which may possibly postpone casualties.

Keywords

Disaster management Drone WBAS Defibrillators IoT ECG analyzer 

References

  1. 1.
  2. 2.
    Chi, T., Zhang, X., Chen, H., Tan, Y.: Research on information system for natural disaster monitoring and disaster. In: Geoscience and Remote Sensing Symposium (2003)Google Scholar
  3. 3.
  4. 4.
  5. 5.
  6. 6.
  7. 7.
    Automated Sensing System for Monitoring of Road Surface Quality by Mobile Devices. https://www.sciencedirect.com/science/article/pii/S1877042814000585
  8. 8.
    Introduction to defibrillator. https://en.wikipedia.org/wiki/Defibrillation
  9. 9.
  10. 10.
  11. 11.
  12. 12.
  13. 13.
  14. 14.
  15. 15.
  16. 16.
  17. 17.
  18. 18.
  19. 19.
  20. 20.
    Aski, V.J., Sonawane, S.S., Soni, U.: IoT enabled ubiquitous healthcare data acquisition and monitoring system for personal and medical usage powered by cloud application: an architectural overview. In: International Conference on Computing and Communication. Springer, Cham (2018)Google Scholar
  21. 21.
  22. 22.
  23. 23.
  24. 24.
  25. 25.
    Dhivya, A.J.A., Premkumar, J.: Quadcopter based technology for an emergency healthcare. In: The Proceedings of 2017 3rd International Conference on Biosignals, Images and Instrumentation (ICBSII), Chennai, 16–18 March 2017 (2017)Google Scholar
  26. 26.
    Sehrawat, A., Choudhury, T.A., Raj, G.: Surveillance drone for disaster management and military security. In: 2017 International Conference on Computing, Communication and Automation (ICCCA), pp. 470–475. IEEE, May 2017Google Scholar
  27. 27.
    Vattapparamban, E., Güvenç, İ., Yurekli, A. İ., Akkaya, K., Uluağaç, S.: Drones for smart cities: issues in cybersecurity, privacy, and public safety. In: 2016 International Wireless Communications and Mobile computing Conference (IWCMC), pp. 216–221. IEEE, September 2016Google Scholar
  28. 28.
    Scott, J., Scott, C.: Drone Delivery Models for Healthcare (2017)Google Scholar
  29. 29.
    Amendola, S., et al.: RFID technology for IoT-based personal healthcare in smart spaces. IEEE Internet Things J. 1(2), 144–152 (2014)CrossRefGoogle Scholar
  30. 30.
    Yeh, K.H.: A secure IoT-based healthcare system with body sensor networks. IEEE Access 4, 10288–10299 (2016)CrossRefGoogle Scholar
  31. 31.
    Plageras, A.P., Psannis, K.E., Ishibashi, Y., Kim, B.G.: IoT-based surveillance system for ubiquitous healthcare. In: IECON 2016-42nd Annual Conference of the IEEE Industrial Electronics Society, pp. 6226–6230, October 2016Google Scholar
  32. 32.
    Khazbak, Y., Cao, G.: Deanonymizing mobility traces with co-location information. In: 2017 IEEE Conference on Communications and Network Security (CNS). IEEE (2017)Google Scholar
  33. 33.

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Vidyadhar Aski
    • 1
  • Sanjana Raghavendra
    • 1
  • Akhilesh K. Sharma
    • 1
  1. 1.Manipal University JaipurJaipurIndia

Personalised recommendations