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.
| Originalspråk | Engelska |
|---|---|
| Sidor | 205-220 |
| Antal sidor | 16 |
| DOI | |
| Status | Publicerad - 2019 |
| Externt publicerad | Ja |
| Evenemang | European Alliance for Innovation (EAI) International Conference on Body Area Networks (BodyNets 2017) - , Kina Varaktighet: 2017-sep.-28 → 2017-sep.-29 |
Konferens
| Konferens | European Alliance for Innovation (EAI) International Conference on Body Area Networks (BodyNets 2017) |
|---|---|
| Land/Territorium | Kina |
| Period | 17-09-28 → 17-09-29 |
Nationell ämneskategori
- Elektroteknik och elektronik (202)
Fingeravtryck
Fördjupa i forskningsämnen för ”Medical quality of service optimization over joint body sensor networks and internet of multimedia things”. Tillsammans bildar de ett unikt fingeravtryck.Citera det här
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