International Journal of Computer Networks and Applications (IJCNA)

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ISSN : 2395-0455

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International Journal of Computer Networks and Applications (IJCNA)

International Journal of Computer Networks and Applications (IJCNA)

Published By EverScience Publications

ISSN : 2395-0455

Design and Analysis of a Reliable, Prioritized and Cognitive Radio-Controlled Telemedicine Network Architecture for Internet of Healthcare Things

Author NameAuthor Details

Abhinav Adarsh, Shashwat Pathak , Basant Kumar

Abhinav Adarsh[1]

Shashwat Pathak [2]

Basant Kumar[3]

[1]Electronics and Communication Engineering Department, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, Uttar Pradesh, India

[2]Department of Electronics and Communication Engineering, Meerut Institute of Engineering Technology, Meerut, Uttar Pradesh, India

[3]Electronics and Communication Engineering Department, Motilal Nehru National Institute of Technology Allahabad, Prayagraj, Uttar Pradesh, India

Cite this Article

DOI: 10.22247/ijcna/2021/207982

Pages : 54 - 66

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Abstract

This paper proposes and evaluates a reliable and efficient wireless telemedicine network architecture using cognitive radio network technology for e-Health applications. The proposed architectural framework is designed, to tackle congestion and inconsistency in network availability using the cognitive radio (CR) and to provide priority-based health services to distant primary health care centers. The proposed architectural framework utilizes the (1) dynamic prioritization scheme of the data, based on patient condition (2) prioritization based channel allocation using novel MAC protocol and (3) efficient utilization multiple wireless communication technologies using cognitive radio network. This paper utilizes the Data Sensitive Adaptive MAC (DSA-MAC) protocol for medical data prioritization and transmission at a body area network level (consist of multiple wireless medical sensors implanted on the single patient) of communication. Based on DSA-MAC, a novel MAC layer protocol, Node Sensitive Adaptive MAC (NSA-MAC) protocol is developed to prioritize the different patients based on their medical conditions and assist the prioritization based data transfer. Finally, the proposed architectural framework tackles congestion and inconsistency in network availability by shifting the data transfer process to any of the available networks (GSM, 3G-UMTS, WiMAX and 4G-LTE), with the help of cognitive radio technology.

Index Terms

Wireless Network Application

Internet of Healthcare Things

Cognitive Radio

MAC protocol

E-Health

Rural Health

Reference

  1. 1.
    J. Fontecave-Jallon, P.-Y. Guméry, P. Calabrese, R. Briot and P. Baconnier, 2013. "A Wearable Technology Revisited for Cardio-Respiratory Functional Exploration," International Journal of E-Health and Medical Communications, vol. 4, no. 1, pp. 12-22.
  2. 2.
    M. A. Lones, J. E. Alty, J. Cosgrove, P. Duggan-Carter, S. Jamieson, R. F. Naylor, A. J. Turner and S. L. Smith, 2017. "A New Evolutionary Algorithm-Based Home Monitoring Device for Parkinson’s Dyskinesia," Journal of Medical Systems, vol. 41, no. 11, pp 1-8.
  3. 3.
    Costanzo, M. C., Arcidiacono, C., Rodolico, A., Panebianco, M., Aguglia, E., & Signorelli, M. S. (2020). Diagnostic and interventional implications of telemedicine in Alzheimer's disease and mild cognitive impairment: a literature review. International journal of geriatric psychiatry, 35(1), 12-28.
  4. 4.
    H. Mushcab, W. G. Kernohan, J. Wallace, R. Harper and S. Martin, "Self-Management of Diabetes Mellitus with Remote Monitoring, 2017.” International Journal of E-Health and Medical Communications, vol. 8, no. 1, pp. 52-61.
  5. 5.
    Moghimi, H., Schaffer, J. L., & Wickramasinghe, N. (2016). Intelligent home risk-based monitoring solutions enable post acute care surveillance. In Contemporary Consumer Health Informatics (pp. 399-412). Springer, Cham.
  6. 6.
    Tuna, Gurkan, Resul Das, and Ayse Tuna. 2015. "Wireless sensor network-based health monitoring system for the elderly and disabled." International Journal of Computer Networks and Applications (IJCNA) 2, no. 6 pp: 247-25.
  7. 7.
    S. Kumar, A. Adarsh, B. Kumar and K. A. Singh, 2020. "An automated early diabetic retinopathy detection through improved blood vessel and optic disc segmentation," Optics & Laser Technology, vol. 121, p. 105815.
  8. 8.
    Dasgupta, P. (2013). The shameful frailty of the rural healthcare system in India. Future Challenges, 2.
  9. 9.
    Prathiba, V., & Rema, M. (2011). Teleophthalmology: a model for eye care delivery in rural and underserved areas of India. International journal of family medicine, 2011.
  10. 10.
    S. John, S. Sengupta, S. J. Reddy, P. Prabhu, K. Kirubanandan and S. S. Badrinath, 2012. "The Sankara Nethralaya Mobile Teleophthalmology Model for Comprehensive Eye Care Delivery in Rural India," Telemedicine and e-Health, vol. 18, no. 5, pp. 382-387.
  11. 11.
    Apollo-hospital. [Online]. Available: https://www.medvarsity.com/.
  12. 12.
    S. V. Adams, M. J. Mader, M. J. Bollinger, E. S. Wong, T. J. Hudson and A. J. Littman, 2019. "Utilization of Interactive Clinical Video Telemedicine by Rural and Urban Veterans in the Veterans Health Administration Health Care System," The Journal of Rural Health, vol. 35, no. 3, pp. 308-318.
  13. 13.
    R. Rubin, 2019. "Using Telemedicine to Treat Opioid Use Disorder in Rural Areas," Jama, vol. 322, no. 11, p. 1029.
  14. 14.
    L. Taylor, M. Waller and J. M. Portnoy, 2019. "Telemedicine for Allergy Services to Rural Communities," The Journal of Allergy and Clinical Immunology: In Practice, vol. 7, no. 8, pp. 2554-2559.
  15. 15.
    M. Batistatos, G. Tsoulos and G. Athanasiadou, 2012. "Mobile telemedicine for moving vehicle scenarios: Wireless technology options and challenges," Journal of Network and Computer Applications, vol. 35, no. 3, pp. 1140-1150.
  16. 16.
    P. Najera, J. Lopez and R. Roman, 2011. "Real-time location and inpatient care systems based on passive RFID," Journal of Network and Computer Applications , vol. 34, no. 3, pp. 980-989.
  17. 17.
    Magesh, S., Indumathi, J., Nadu, T., & Prabha, P. S. (2020). Concepts and Contributions of Edge Computing in Internet of Things (IoT): A Survey. Int. J. Comput. Netw. Appl, 7 (5), 146-156.
  18. 18.
    C. Chakraborty, 2019."Performance Analysis of Compression Techniques for Chronic Wound Image Transmission Under Smartphone-Enabled Tele-Wound Network," International Journal of E-Health and Medical Communications, vol. 10, no. 2, pp. 1-20.
  19. 19.
    Bagula, A.; Mandava, M.; Bagula, H.; 2018. "A framework for healthcare support in the rural and low income areas of the developing world," Journal of Network and Computer Applications, vol. 120, pp. 17-29.
  20. 20.
    Y. Yangab, X. Zhenga and C. Tangb, 2017. "Lightweight distributed secure data management system for health internet of things," Journal of Network and Computer Applications, vol. 89, pp. 26-37.
  21. 21.
    S. Pathak and B. Kumar, 2017. "Wireless Teleophthalmology: A Novel, Low-Cost, Flexible Network Architecture and Its Performance Evaluation for Remote Eye Care Solutions," telemedicine and e-Health, vol. 23, no. 9, pp. 753-762.
  22. 22.
    J. Ye, Y. Zuo, T. Xie, M. Wu, P. Ni, Y. Kang, X. Yu, X. Sun, Y. Huang and S. Lu, 2016. "A telemedicine wound care model using 4G with smart phones or smart glasses," Medicine, vol. 96, no. 31, e4198.
  23. 23.
    S. M. S. A. Majeed, S. K. Askar and M. Fleury, 2014. "H.265 Codec over 4G Networks for Telemedicine System Application," 2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation.
  24. 24.
    Rivera-Julio, Y.E., 2016, September. Design of a Telemedicine Ubiquitous Architecture Based on the Smart Device mHealth Arduino 4G. In Workshop on Engineering Applications Springer, Cham. Vol 657 pp. 345-356.
  25. 25.
    W. D. D. Mattos and P. R. Gondim, 2016. "M-Health Solutions Using 5G Networks and M2M Communications," IT Professional, vol. 18, no. 3, pp. 24-29.
  26. 26.
    Sodhro, A. H., & Shah, M. A. (2017, April). Role of 5G in medical health. In 2017 International Conference on Innovations in Electrical Engineering and Computational Technologies (ICIEECT) (pp. 1-5). IEEE.
  27. 27.
    Sharma, Vishal, Kathiravan Srinivasan, Han-Chieh Chao, Kai-Lung Hua, and Wen-Huang Cheng. 2017. "Intelligent deployment of UAVs in 5G heterogeneous communication environment for improved coverage." Journal of Network and Computer Applications vol-85, pp: 94-105.
  28. 28.
    H. Holma and C. Sartori, 2012. "Self-Organizing Networks (SON)," LTE-Advanced, pp. 135-152.
  29. 29.
    Adarsh, A., Tiwari, A., & Kumar, B. (2019, July). Performance Analysis of Data Sensitive Adaptive MAC Protocol for Intra-Hospital Scenario. In 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT) (pp. 1-6). IEEE.
  30. 30.
    B. Kim and J. Cho, 2012. "A novel priority-based channel access algorithm for contention-based MAC protocol in WBANs," Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication - ICUIMC '12.
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