Medical Quality of Service Optimization over Joint Body Sensor Networks and Internet of Multimedia Things

  • Ali Hassan Sodhro
  • Aicha Sekhari
  • Yacine Ouzrout
  • Gul Hassan Sodhro
  • Noman Zahid
  • Sandeep Pirbhulal
  • M. Irfan Younas
Conference paper
Part of the Internet of Things book series (ITTCC)


This paper proposes novel Rate Control Video Transmission Algorithm (RCVTA) to optimize medical quality of service (m-QoS) in terms of network metrics such as, standard deviation (Std dev), throughput, peak-to-mean ratio (PMR), delay, average delay, jitter and average jitter during transmission of high-definition (HD) video stream named ‘Tracking and Retargeting in GI endoscopy’ over joint Internet of Multimedia Things (IoMT) and Body Sensor Networks (BSNs). Experimental results reveal that m-QoS is optimized with workahead transmission over joint BSN and IoMT networks for Tele-surgery.


Pre-recorded High definition Telemedicine RCVTA IoMT BSN Telemedicine Tele-surgery 


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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Ali Hassan Sodhro
    • 1
    • 2
  • Aicha Sekhari
    • 2
  • Yacine Ouzrout
    • 2
  • Gul Hassan Sodhro
    • 3
  • Noman Zahid
    • 1
  • Sandeep Pirbhulal
    • 4
  • M. Irfan Younas
    • 1
  1. 1.Sukkur IBA UniversitySukkurPakistan
  2. 2.DISP LABUniversity Lumiere Lyon 2LyonFrance
  3. 3.Shah Abdul Latif UniversityKhairpurPakistan
  4. 4.SIAT, CASShenzhenChina

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