Multimedia Tools and Applications

, Volume 78, Issue 3, pp 3045–3064 | Cite as

Green media-aware medical IoT system

  • Ali Hassan SodhroEmail author
  • Arun Kumar Sangaiah
  • Sandeep PirphulalEmail author
  • Aicha Sekhari
  • Yacine Ouzrout


Rapid proliferation in state-of-the art technologies has revolutionized the medical market for providing urgent, effective and economical health facilities to aging society. In this context media (i.e., video) transmission is considered as a quite significant step during first hour of the emergency for presenting a big and better picture of the event. However, the energy hungry media transmission process and slow progress in battery technologies have become a major and serious problem for the evolution of video technology in medical internet of things (MIoT) or internet of medical things (IoMT). So, promoting Green (i.e., energy-efficient) transmission during voluminous and variable bit rate (VBR) video in MIoT is a challenging and crucial problem for researchers and engineers. Therefore, the need arose to conduct research on Green media transmission techniques to cater the need of upcoming wearable healthcare devices. Thus, this research contributes in two distinct ways; first, a novel and sustainable Green Media Transmission Algorithm (GMTA) is proposed, second, a mathematical model and architecture of Green MIoT are designed by considering a 8-min medical media stream named, ‘Navigation to the Uterine Horn, transection of the horn and re-anastomosis’ to minimize transmission energy consumption in media-aware MIoT, and to develop feasible media transmission schedule for sensitive and urgent health information from physian to patients and vice vers through extremely power hungry natured wearable devices. The experimental results demonstrate that proposed GMTA saves energy up to 41%, to serve the community.


Green Media transmission MIoT GMTA VBR 


  1. 1.
    Aborokbah MM et al (2017) Adaptive context aware decision computing paradigm for intensive health care delivery in smart cities—a case analysis. Sustain Cities Soc.
  2. 2.
    Decker R, Stummer C (2017) Marketing management for consumer products in the era of the internet of things. Adv IoT Scientific 7(2017):47–70Google Scholar
  3. 3.
    Dimitrov DV (2016) Medical internet of things and big data in healthcare. Health Inform Res 22(3):156–163CrossRefGoogle Scholar
  4. 4.
    Gonzalez E et al (2015) Survey of WBSNs for pre-hospital assistance: trends to maximize the networks lifetime and video transmission techniques. MDPI Sens 15(5):11993–12021CrossRefGoogle Scholar
  5. 5.
    Gope P, Hwang T (2016) BSN-Care: a secure IoT-based modern healthcare systems using BSN. IEEE Sens J 16(5):1368–1376CrossRefGoogle Scholar
  6. 6.
    Hamlyn Center Laparoscopic/endoscopic video datasets,
  7. 7.
    Hao Y, Limei P et al (2017) Energy harvesting based BANs for Smart health. MDPI Sensor 17(7):1–10CrossRefGoogle Scholar
  8. 8.
    Hassanalierag M, Page A et al (2015) Health monitoring and management using IoT Sesnong with cloud-based processing: opportunities and challenges. IEEE International Conference on Services Computing, New York City, pp 285–292Google Scholar
  9. 9.
    Jusak J et al (2016) Internet of medical things for cardiac monitoring: paving the way to 5G mobile networks.IEEE International Conference Communication, Networks and Satellite (COMNETSAT), Surabaya, pp 75–79Google Scholar
  10. 10.
    Kumar P et al (2017) A certificateless aggregate signature scheme for healthcare wireless sensor network. Sus Comput Inf Syst.
  11. 11.
    Le NT et al (2016) Survy of promising technologies for 5G networks. Mob Inf Syst 2016(2016):1–26Google Scholar
  12. 12.
    Martinez B, Mont M (2015) The power of models: modeling power consumption for IoT devices. IEEE Sens J 15(10):5777–5789CrossRefGoogle Scholar
  13. 13.
    Mekomen T, Porambage P et al (2017) Energy consumption analysis of high quality multitier wireless multimedia sensor networks. IEEE Access 5(1):15848–15858CrossRefGoogle Scholar
  14. 14.
    Militano L et al (2015) Device to device communication for 5G internet of things. Eur Alliance Innov Endrosed Trans IoT 1(1):1–16Google Scholar
  15. 15.
    Mountney P, Stoyanov D, Yang G-Z (2010) Three-dimensional tissue deformation recovery and tracking: introducing techniques based on laparoscopic or endoscopic images. IEEE Signal Process Mag 27(4):14–24CrossRefGoogle Scholar
  16. 16.
    Paul A, Rho S (2016) Probablistic model for M2M in IoT networking and communication. Telecommun Syst 62(2016):59–66CrossRefGoogle Scholar
  17. 17.
    Qiu T et al (2017) A lifetime-enhanced data collecting scheme for internet of things. IEEE Commun Mag 55(11):132–137CrossRefGoogle Scholar
  18. 18.
    Sethi P, Sarangi SR (2017) Internet of things: architectures, protocols, and applications. J Electrica lComput Eng 2017:1–25CrossRefGoogle Scholar
  19. 19.
    Shaikh FK et al (2017) Enabling technologies for Green IoT. IEEE Sens J 11(2):983–994MathSciNetGoogle Scholar
  20. 20.
    Shen X et al Internet of things for power transmission and distribution –intelligent monitoring and full lifecycle management, 2014 China International Conference on Electricity Distribution (CICED 2014) Shenzhen, 23–26 Sep. 2014Google Scholar
  21. 21.
    Sodhro AH, Forino G (2017) Energy management during video transmission in WBSNs. 14th IEEE International Conference on Networking, Sensing and Control (ICNSC), Calabria, Southern Italy, May 16–18, 2017Google Scholar
  22. 22.
    Sodhro AH, Li Y (2013) Medical quality-of-service optimization in wireless telemedicine system using optimal smoothing algorithm. E-Health Telecommun Syst Netw (ETSN) J 2(1):1–8CrossRefGoogle Scholar
  23. 23.
    Sodhro AH, Li Y (June 2013) Novel key storage and management solution for the security of wireless sensor networks. TELKOMNIKA Indonesian J Electrir Eng 11(6):3383–3390Google Scholar
  24. 24.
    Sodhro AH, Li Y (2014) Battery-friednly packet transmission strategies for wireless capsule endoscopy. IFMBE Int Conf Health Inf, Int Fed Med Biol Proc 42:236–239Google Scholar
  25. 25.
    Sodhro AH, Li Y (2017) Green and friendly video streaming in wireless body sensor networks. J Multimed Tools Appl 76(19):20001–20025CrossRefGoogle Scholar
  26. 26.
    Sodhro AH, Li Y, Shah MA (Jan. 2016) Energy-efficient Adaptive transmission power control in wireless body area networks. IET Commun 10(1):81–90CrossRefGoogle Scholar
  27. 27.
    Sodhro AH et al (2017) Role of 5G in medical health. IEEE International Conference on Innovations in Electrical Engineering and Computational Technologies(ICIEECT), Indus University, Karachi, Pakistan, April, 2017Google Scholar
  28. 28.
    Tao F et al (2016) IoT in product lifecycle management. J Ind Inf Integration 1(2016):26–39Google Scholar
  29. 29.
    Wang Y et al (2016) Potential applications of IoT-based product lifecycle energy management. IEEE 11th Conference on Industrial Electronics and Applications (ICIEA)Google Scholar
  30. 30.
    Wind River System (2015) Managing the IoT lifecycle design through end-of-life, White Paper, pp 1–5Google Scholar
  31. 31.
    Wu F et al A lightweight and robust two-factor authentication scheme for personalized healthcare systems using wireless medical sensor networks. Futur Gener Comput Syst.,2017
  32. 32.
    Yoo M-J, Leung VCM, Shu L et al (2016) Closed-loop lifecycle management of service and product in the internet of things: semantic framework for knowledge integration. Sensors 16(7):1–26CrossRefGoogle Scholar
  33. 33.
    Zhu C et al (2015) Green internet of things for smart world. IEEE Access 3(1):2151–2162CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Sukkur IBA UniversitySukkurPakistan
  2. 2.DISP LABUniversity Lumiere Lyon 2LyonFrance
  3. 3.School of Computing Science and EngineeringVIT UniversityVelloreIndia
  4. 4.Shenzhen Institutes of Advanced TechnologyChinese Academy of Sciences (SIAT-CAS)ShenzhenChina

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