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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
  • *Corresponding author for this work

Research output: Contribution to conference › Paper › peer-review

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages205-220
Number of pages16
DOIs
Publication statusPublished - 2019
Externally publishedYes
EventEuropean Alliance for Innovation (EAI) International Conference on Body Area Networks (BodyNets 2017) - , China
Duration: 2017-Sept-28 → 2017-Sept-29

Conference

ConferenceEuropean Alliance for Innovation (EAI) International Conference on Body Area Networks (BodyNets 2017)
Country/TerritoryChina
Period17-09-28 → 17-09-29

Swedish Standard Keywords

  • Electrical Engineering, Electronic Engineering, Information Engineering (202)

Keywords

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

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