WSN and IoMT base Healthcare System for Patient Monitoring in Remote Areas


Authors : Kamlesh Kumar Gautam

Volume/Issue : Volume 10 - 2025, Issue 2 - February


Google Scholar : https://tinyurl.com/yu6x7aa3

Scribd : https://tinyurl.com/3mdme25u

DOI : https://doi.org/10.5281/zenodo.14964515


Abstract : Todays, the rapid growing of effective services in healthcare in remote areas has innovative solutions by led to the development of the integrating Wireless Sensor Networks (WSN) and the Internet of Medicals Things (IoMT) or medical objects .This paper proposes a healthcare monitoring system based on Wireless Sensor Networks (WSN) and (IoMT) for continuous patient monitoring in underserved and geographically isolated regions. The patient enabled with various sensor for data collecting in real time. The network system deployment of wearable and smart devices and environmental various sensors that collect real-time physiological and medical data, such as heart rate, blood pressure, oxygen level, and body temperature. The suggested system is built on an architecture that combines WSN and IoMT technologies, increasing the system's scalability and lowering energy and improve the efficiency of data receiving, ensuring reliable operation even in areas with limited infrastructure. Also ensures secure and efficient data transfer, enabling healthcare providers to remotely access patient information, offer timely interventions, and monitor chronic conditions. The system is designed to operate with minimal infrastructure, leveraging low-power devices and cloud-based analytics to ensure scalability and reliability in remote regions. The proposed solution aims to improve healthcare access, reduce the burden on hospitals, and enable early detection of critical health conditions in remote populations.

Keywords : IoMT, Healthcare, Blockchain, Sensors, WSN.

References :

  1. Pokkuluri, Kiran Sree, et al. "A secured and energy-efficient system for patient e-healthcare monitoring using the Internet of Medical Things (IoMT)." Data and Metadata 3 (2024): 368-368.
  2. Raj, Anu, and Shiva Prakash. "An Efficient Blockchain-Based Access Control Framework for IoT-Healthcare System." Wireless Personal Communications (2024):1-29.
  3. El-Saleh, A.A., Sheikh, A.M., Albreem, M.A.M. et al. The Internet of Medical Things (IoMT): opportunities and challenges. Wireless Netw (2024). https://doi.org/10.1007/s11276-024-03764-8
  4. Verma, G., Prakash, S, Addressing the security challenges of IoT-enabled networks using artificial intelligence, machine learning, and blockchain technology, In book: Security and Privacy Schemes for Dense 6G Wireless Communication Networks, pp.291-317,  ISBN: 9781839536632, e-ISBN: 9781839536649, July, 2023.
  5. Raj, Anu, and Shiva Prakash. "Smart Contract-Based Secure Decentralized Smart Healthcare System." International Journal of Software Innovation (IJSI) 11.1 (2023): 1-20.
  6. Raj, A., Prakash, S., Srivastva, J., Gaur, R. Blockchain-Based Intelligent Agreement for Healthcare System: A Review. In: Gupta, D., Khanna, A., Bhattacharyya, S., Hassanien, A.E., Anand, S., Jaiswal, A. (eds) International Conference on Innovative Computing and Communications. Lecture Notes in Networks and Systems, vol 473. Springer,Singapore, 27 Septmber 2022.
  7. Sharmila, E. M. N., et al. "IoMT—Applications, Benefits, and Future Challenges in the Healthcare Domain." Advances in Fuzzy‐Based Internet of Medical Things (IoMT) (2024): 1-23.
  8. Verma, G., Prakash, S, Addressing the security challenges of IoT-enabled networks using artificial intelligence, machine learning, and blockchain technology, In book: Security and Privacy Schemes for Dense 6G Wireless Communication Networks, pp.291-317,  ISBN: 9781839536632, e-ISBN: 9781839536649, July, 2023.
  9. Iranpak, S., Shahbahrami, A. & Shakeri, H. Remote patient monitoring and classifying using the internet of things platform combined with cloud computing. J Big Data 8, 120 (2021).
  10. SHENFIELD, Alex, Augustine IKPEHAI, and Jumoke POPOOLA. "A critical literature review of security and privacy in smart home healthcare schemes adopting IoT & blockchain: problems, challenges and solutions.".
  11. Verma G., Prakash S. (2021) “Internet of Things for Healthcare: Research Challenges and Future Prospects” In: Hura G., Singh A., Siong Hoe L. (eds) Advances in Communication and Computational Technology. Lecture Notes in Electrical Engineering, vol 668. Springer, Singapore. PP. 1055-1067 , August 14, 2020.
  12. Alzoubi, Mahd M. "Blockchain in the IoT: security, applications, technologies, and challenges. " International Journal of Blockchains and Cryptocurrencies 5.1 (2024): 14-43..
  13. Aluvalu, Rajanikanth, and Yadaiah Balagoni. "A Secure Network with Minimization of Energy for E-healthcare Application in IoMT." Recent Patents on Engineering 18.9 (2024): 13-23.
  14. Osman, Radwa Ahmed. "Internet of Medical Things (IoMT) optimization for healthcare: A deep learning-based interference avoidance model." Computer Networks 248 (2024): 110491.
  15. Jain,Sushmita Sunil, Saurabh Manoj Kothari,  Satyam Kumar Agrawal. "The Role of IoMT Technologies in Revolutionizing Healthcare: A ComprehensiveOverview." WSN and IoT (2024):187-202.
  16. Roy, Abhishek, et al. "Efficient monitoring and contact tracing for COVID-19: A smart IoT-based framework." IEEE Internet of Things Magazine 3.3 (2020): 17-23.
  17. Srivastava, Jyoti, et al. "[Retracted] Internet of Medical Things (IoMT)‐Based Smart Healthcare System: Trends and Progress." Computational Intelligence and Neuroscience 2022.1 (2022): 7218113.
  18. Polu, Sandeep Kumar, and S. K. Polu. "IoMT based smart health care monitoring system." International Journal for Innovative Research in Science & Technology 5.11 (2019): 58-64.
  19. Das, Polash Kumar, et al. "Smart medical healthcare of Internet of medical things (IOMT): application of non-contact sensing." 2019 14th IEEE Conference on Industrial Electronics and Applications (ICIEA). IEEE, 2019.
  20. Ennafiri, M. & Mazri, T. (2020). “Internet of things for smarthealthcare: A review on a potential iot based system and technologies to control covid-19 pandemic,” in The Proceedings ofthe Third International Conference on Smart City Applications,pp. 1256–1269, Springer.
  21. Rajasekaran, Manikandan, et al. "Autonomous monitoring in healthcare environment: Reward-based energy charging mechanism for IoMT wireless sensing nodes." Future Generation Computer Systems 98 (2019): 565-576.
  22. Kelleher, John D., Brian Mac Namee, and Aoife D'arcy. Fundamentals of machine learning for predictive data analytics: algorithms, worked examples, and case studies. MIT press, 2020.
  23. Ashraf, M. U., Hannan, A., Cheema, S. M., Ali, Z., Alofi, A.,et al. (2020). “Detection and tracking contagion using iot-edgetechnologies: confronting covid-19 pandemic,” in 2020 InternationalConference on Electrical, Communication, and ComputerEngineering (ICECCE), pp. 1–6, IEEE.
  24. Almogren, A., Mohiuddin, I., Din, I. U., Almajed, H., & Guizani,N. (2020). Ftm-iomt: Fuzzy-based trust management for preventing sybil attacks in internet of medical things. IEEE Internet of Things Journal, 8(6), 4485–4497.
  25. Alshammari, N., Sarker, M. N. I., Kamruzzaman, M., Alruwaili,M., Alanazi, S. A., Raihan, M. L., & AlQahtani, S.  A.(2021). Technology-driven 5g enabled e-healthcare system during covid-19 pandemic. IET Communications, 16(5),449–463.

Todays, the rapid growing of effective services in healthcare in remote areas has innovative solutions by led to the development of the integrating Wireless Sensor Networks (WSN) and the Internet of Medicals Things (IoMT) or medical objects .This paper proposes a healthcare monitoring system based on Wireless Sensor Networks (WSN) and (IoMT) for continuous patient monitoring in underserved and geographically isolated regions. The patient enabled with various sensor for data collecting in real time. The network system deployment of wearable and smart devices and environmental various sensors that collect real-time physiological and medical data, such as heart rate, blood pressure, oxygen level, and body temperature. The suggested system is built on an architecture that combines WSN and IoMT technologies, increasing the system's scalability and lowering energy and improve the efficiency of data receiving, ensuring reliable operation even in areas with limited infrastructure. Also ensures secure and efficient data transfer, enabling healthcare providers to remotely access patient information, offer timely interventions, and monitor chronic conditions. The system is designed to operate with minimal infrastructure, leveraging low-power devices and cloud-based analytics to ensure scalability and reliability in remote regions. The proposed solution aims to improve healthcare access, reduce the burden on hospitals, and enable early detection of critical health conditions in remote populations.

Keywords : IoMT, Healthcare, Blockchain, Sensors, WSN.

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.
Subscribe
OR

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.
Subscribe