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 language | English |
|---|---|
| Pages | 205-220 |
| Number of pages | 16 |
| DOIs | |
| Publication status | Published - 2019 |
| Externally published | Yes |
| Event | European Alliance for Innovation (EAI) International Conference on Body Area Networks (BodyNets 2017) - , China Duration: 2017-Sept-28 → 2017-Sept-29 |
Conference
| Conference | European Alliance for Innovation (EAI) International Conference on Body Area Networks (BodyNets 2017) |
|---|---|
| Country/Territory | China |
| Period | 17-09-28 → 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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