Skip to main content
SpringerLink
Log in

Big Data Analytics for Large Scale Wireless Body Area Networks; Challenges, and Applications

  • Conference paper
  • First Online:
Advances on Intelligent Informatics and Computing (IRICT 2021)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 127))

Abstract

With the development of technology and connectivity, it is has become easier to gather data regarding a necessity, and use that to analyze, observe and provide solutions to day-to-day problems. The development of science and technology has brought immense benefit and comfort to human society allowing us to venture further with ease. The same applies to Wireless Body Area Network (WBAN), the system that measures the medical parameters of a human subject to treat his or her ailments. The data gathered from various patients can be collected and provided to the medical authority and doctors accordingly. This is used to generate patterns from a definitive source and provide clarity of the patient’s disease and/or any condition to the doctors. However, doing that for many patients and hospital records requires an immense amount of time and people. This is where big data analytics comes into play, a cloud based analytics technology that scans extraordinarily large amounts of data, identifies similarities and differences, and observes the patterns to help doctors solve their patients’ diseases or conditions. Using this technology prevents unnecessary deaths of patients. This paper will explain the implementation process of big data analytics in large scale WBAN, the difficulties and challenges that may occur, and its applications and benefits.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 229.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 299.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Rawat, D.B., Bhattacharya, S.: Wireless Body Area Network for Healthcare Applications. Data Analytics in Medicine [Internet]. IGI Global 2002–17. http://dx.doi.org/10.4018/978-1-7998-1204-3.ch100

  2. Thumati, B.T., Siva Subramania, H., Shastri, R., Kalyana Kumar, K., Hessner, N., Villa, V., et al.: Large-scale data integration for facilities analytics: challenges and opportunities. In: 2020 IEEE International Conference on Big Data (Big Data) [Internet]. IEEE, 2020 December 10. http://dx.doi.org/10.1109/bigdata50022.2020.9378440

  3. Awad, T., Mohamed, W., Abdellatif, M.M.: IoTIwC: IoT industrial wireless controller. In: Hassanien, A.E., Darwish, A. (eds.) Machine Learning and Big Data Analytics Paradigms: Analysis, Applications and Challenges. SBD, vol. 77, pp. 565–581. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-59338-4_27

    Chapter  Google Scholar 

  4. Sahu, N.K., Patnaik, M., Snigdh, I.: Data Analytics and Its Applications in Brief. Advances in Data Mining and Database Management [Internet]. IGI Global; 2021;115–25. http://dx.doi.org/10.4018/978-1-7998-6673-2.ch008

  5. Arya, A., Pathania, S., Kaushal, C.: Cloud-based wireless body area network for healthcare monitoring system. In: Advances in Computer Science and Information Technology (ACSIT) Print ISSN: 2393–9907; Online ISSN: 2393–9915; Volume 2, Number 8; April-June, 2015 pp. 1–5

    Google Scholar 

  6. Barazanchi, I.Al., Abdulshaheed, H.R., Shawkat, S.A., Binti, S.R.: Identification key scheme to enhance network performance in wireless body area network. Period. Eng. Nat. Sci. 7, 895–906 (2019)

    Google Scholar 

  7. Sethi, D., Anand, J.: Big data and WBAN: prediction and analysis of the patient health condition in a remote area. Eng. Appl. Sci. Res. 46(3), 248–255 (2019)

    Google Scholar 

  8. Anand, J., Sethi, D.: Comparative analysis of energy efficient routing in WBAN. In: 2017 3rd International Conference on Computational Intelligence & Communication Technology (CICT): 9–10 February 2017, Ghaziabad, India. USA, pp. 1–6. IEEE (2017)

    Google Scholar 

  9. Barazanchi, I.Al., Abdulshaheed, H.R., Safiah, M., Sidek, B.: Innovative technologies of wireless sensor network: the applications of WBAN system and environment. Sustain. Eng. Innov. 1, 98–105 (2020)

    Google Scholar 

  10. Ha, I.: Even energy consumption and back side routing: an improved routing protocol for effective data transmission in wireless body area networks. Int. J. Distrib. Sens. Netw. 12(7), 1–11 (2016). https://doi.org/10.1177/1550147716657932

    Article  Google Scholar 

  11. Barazanchi, I.Al.: An analysis of the requirements for efficient protocols in WBAN. J. Telecommun. Electron. Comput. Eng. 6, 43 (2014)

    Google Scholar 

  12. Barakah, D.M.; Ammad-uddin, M.: A survey of challenges and applications of wireless body area network (WBAN) and role of a virtual doctor server in existing architecture. In: 2012 Third International Conference on Intelligent Systems, Modelling and Simulation (ISMS), pp. 214,219, 8–10 February 2012. https://doi.org/10.1109/ISMS.2012.108

  13. Xu, G., Wu, Q., Daneshmand, M., Liu, Y., Wang, M.: A data privacy protective mechanism for wireless body area networks. In: Wireless Communication Mobile Computing, 24 November 2015. https://doi.org/10.1002/wcm.2649

  14. Ullah, F., Islam, I.U., Abdullah, A.H., Khan, A.: Future of big data and deep learning for wireless body area networks. In: Deep Learning: Convergence to Big Data Analytics. Springer Briefs in Computer Science SCS, pp. 53–77. Springer, Singapore (2019). https://doi.org/10.1007/978-981-13-3459-7_5

  15. Shibghatullah, A., Barazanchi, I.Al.: A survey on Central Control Unit ( CCU ) in WBAN. In: International Symposium Research Innovation Sustainability 2014 (ISoRIS 2014) 15–16 October 2014, Malacca, Malaysia 14, 15–16 (2014)

    Google Scholar 

  16. Acharjya, D.P., Kauser Ahmed, P.: A survey on big data analytics: challenges, open research issues and tools. Int. J. Adv. Comput. Sci. Appl. 7(2) (2016)

    Google Scholar 

  17. Bangash, J., Abdullah, H., Anisi, H., Khan, A.W.: A survey of routing protocols in wireless body sensor networks.. Sensors 14, 1322–1357 (2014). https://doi.org/10.3390/s140101322. www.mdpi.com/journal/sensors

  18. Barazanchi, I.Al., Abdulshaheed, H.R., Safiah, M., Sidek, B.: A survey: issues and challenges of communication technologies in WBAN. Sustain. Eng. Innov. 1, 84–97 (2020)

    Google Scholar 

  19. Lin, R., Ye, Z., Wang, H., Wu, B.: Chronic diseases and health monitoring big data: a survey. IEEE Rev, Biomed. Eng. PP(99), 1–1 (2018). https://doi.org/10.1109/RBME.2018.2829704

  20. Du, Y., Hu, F., Wang, L., Wang, F.: Framework and challenges for Wireless body area networks based on big data. In: IEEE International Conference on Digital Signal Processing (DSP), July 2015. https://doi.org/10.1109/ICDSP.2015.7251922

  21. Barazanchi, I.Al, Sahy, S.A., Jaaz, Z.A.: Traffic management with deployment of Li-Fi technology traffic management with deployment of Li-Fi technology. J. Phys. Conf. Ser. 1804 (2021)

    Google Scholar 

  22. Al-Barazanchi, I., Jaaz, Z.A., Abbas, H.H., Abdulshaheed, H.R.: Practical application of IOT and its implications on the existing software. In: 2020 7th International Conference on Electrical Engineering Computer Science Informatics (EECSI), Yogyakarta, Indones, pp. 10–14 (2020). https://doi.org/10.23919/EECSI50503.2020.9251302

  23. Quwaider, M., Jararweh, Y.: An efficient big data collection in Body Area Networks. In: 5th International Conference on Information and Communication Systems (ICICS), Jordan April 2014. https://doi.org/10.1109/IACS.2014.6841986

  24. Abdulshaheed, H.R., Yaseen, Z.T., Salman, A.M., Al_Barazanchi, I.: An evaluation study of WiMAX and WiFi on vehicular ad-hoc networks (VANETs). IOP Conf. Ser. Mater. Sci. Eng. Pap. 3, 1–7 (2020)

    Google Scholar 

  25. Oleiwi, S.S., Mohammed, G.N., AlBarazanchi, I.: Mitigation of packet loss with end-to-end delay in wireless body area network applications. Int. J. Electr. Comput. Eng. (IJECE) 12(1), 460–470 (2022)

    Article  Google Scholar 

  26. Barazanchi, I.A., Aborujilah, A., Hashim, W., Alkahtani, A.A.: Design and implementation of WBAN smart system connection to control covide19 patients remotely. Period. Eng. Nat. Sci. 9(4), 977–998 (2021)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computer Engineering Techniques Department, Baghdad College of Economic Sciences University, Baghdad, Iraq

    Haider Rasheed Abdulshaheed & Israa Al-Barazanchi

  2. Computer Technology Engineering Department, Al-Mansour University College (MUC), Baghdad, Iraq

    Haider Hadi Abbas

  3. Department of Computer Science, AL Nahrain University, Baghdad, Iraq

    Ehsan Qahtan Ahmed

  4. College of Computing and Informatics, Universiti Tenaga Nasional (UNITEN), Kajang, Malaysia

    Israa Al-Barazanchi

Authors
  1. Haider Rasheed Abdulshaheed
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Haider Hadi Abbas
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Ehsan Qahtan Ahmed
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Israa Al-Barazanchi
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Israa Al-Barazanchi .

Editor information

Editors and Affiliations

  1. Birmingham City University, Birmingham, UK

    Faisal Saeed

  2. School of Computing, Universiti Utara Malaysia (UUM), Sintok, Kedah, Malaysia

    Fathey Mohammed

  3. Department of Computer Science, School of Computing, Universiti Teknologi Malaysia, Skudai, Malaysia

    Fuad Ghaleb

Rights and permissions

Reprints and permissions

Copyright information

© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Abdulshaheed, H.R., Abbas, H.H., Ahmed, E.Q., Al-Barazanchi, I. (2022). Big Data Analytics for Large Scale Wireless Body Area Networks; Challenges, and Applications. In: Saeed, F., Mohammed, F., Ghaleb, F. (eds) Advances on Intelligent Informatics and Computing. IRICT 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 127. Springer, Cham. https://doi.org/10.1007/978-3-030-98741-1_35

Download citation

Publish with us

Policies and ethics

Search

Navigation