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

Forskningsoutput: KonferensbidragArbetsdokument (paper)Peer review

3 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.-282017-sep.-29

Konferens

KonferensEuropean Alliance for Innovation (EAI) International Conference on Body Area Networks (BodyNets 2017)
Land/TerritoriumKina
Period17-09-2817-09-29

Nationell ämneskategori

  • Elektroteknik och elektronik (202)

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