Content-aware packet scheduling strategy for medical ultrasound videos over LTE wireless networks

In parallel to the advancements in communication technologies, telemedicine research has continually adapted to develop various healthcare applications. The latest wireless technology Long-Term Evolution(LTE) is being increasingly deployed across developed countries and rapidly adopted by developing...

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Vydáno v:Computer networks (Amsterdam, Netherlands : 1999) Ročník 140; s. 126 - 137
Hlavní autoři: Nasralla, Moustafa M., Razaak, Manzoor, Rehman, Ikram U., Martini, Maria G.
Médium: Journal Article
Jazyk:angličtina
Vydáno: Amsterdam Elsevier B.V 20.07.2018
Elsevier Sequoia S.A
Témata:
Communications technology
Complexity
Content aware
Developed countries
Developing countries
Frame analysis
Function
Health care
Health services
LDCs
LTE
Medical technology
Medical ultrasound
Mobile communication systems
Packet scheduling algorithms
QoE
QoS
Resource allocation
Scheduling
Simulation
Technological change
Telecommunications
Telemedicine
Time
Ultrasonic imaging
Utility functions
Video traffic
Wireless communication systems
Wireless communications
Wireless networks
QoS
QoE
Resource allocation
LTE
Video traffic
Medical ultrasound
Packet scheduling algorithms
Content aware
ISSN:1389-1286, 1872-7069
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Shrnutí:In parallel to the advancements in communication technologies, telemedicine research has continually adapted to develop various healthcare applications. The latest wireless technology Long-Term Evolution(LTE) is being increasingly deployed across developed countries and rapidly adopted by developing countries. In this paper, a content-aware packet scheduling approach for medical ultrasound videos is proposed. The contribution of this work is introducing a utility function based on the temporal complexity of the video frames. The utility function is used with four schedulers to prioritise the video packets based on their temporal complexity and type of frame (e.g. I frame). The results show that the utility function improves the packet delay performance obtained in our simulation when compared with content-unaware approach. Further, gain in average PSNR and SSIM are also observed in the received video quality. Research on content-aware packet scheduling for telemedicine applications over advanced wireless networks is limited and our work contributes towards addressing this research gap.
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ISSN:1389-1286
1872-7069
DOI:10.1016/j.comnet.2018.05.014