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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
  • *Huvudförfattare för detta arbete

Forskningsoutput: Konferensbidrag › Paper › Peer review

4 Citeringar (Scopus)

Sammanfattning

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.

OriginalspråkEngelska
Sidor205-220
Antal sidor16
DOI
StatusPublicerad - 2019
Externt publiceradJa
EvenemangEuropean Alliance for Innovation (EAI) International Conference on Body Area Networks (BodyNets 2017) - , Kina
Varaktighet: 2017-sep.-28 → 2017-sep.-29

Konferens

KonferensEuropean Alliance for Innovation (EAI) International Conference on Body Area Networks (BodyNets 2017)
Land/TerritoriumKina
Period17-09-28 → 17-09-29

Nationell ämneskategori

  • Elektroteknik och elektronik (202)

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