Mobile edge computing based QoS optimization in medical healthcare applications

Sodhro, Ali Hassan1,2; Luo, Zongwei3; Sangaiah, Arun Kumar4; Baik, Sung Wook5

2019-04

10.1016/j.ijinfomgt.2018.08.004

INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT   影响因子和分区

0268-4012

1873-4707

Emerging trends in mobile edge computing for developing the efficient healthcare application such as, remote monitoring of the patients with central electronics clouds (e-Clouds) and their increasing voluminous multimedia have caught the attention of everyone in industry and academia. So, clear visualization, big sensing level, and better quality of service (QoS) is the foremost priority. This paper proposes the window-based Rate Control Algorithm (w-RCA) to optimize the medical quality of service (m-QoS) in the mobile edge computing based healthcare by considering the network parameters for instance, peak-to-mean ratio (PMR), standard deviation (Std.dev), delay and jitter during 8 min medical video stream named "Navigation to the Uterine Horn, transection of the horn and re-anastomosis' transmission over 5 G networks. The performance of the proposed w-RCA is evaluated and compared with the conventional battery smoothing algorithm (BSA) and Baseline by using MPEG-4 encoder for optimizing m-QoS at the source or the server side. The experimental results demonstrate that the w-RCA outperforms the BSA and Baseline by optimizing QoS in remote healthcare application i.e., Telesurgery. Besides, it is observed and analyzed that w-RCA produces better and effective results at small buffer and window sizes unlike BSA and Baseline by adopting large buffer size during QoS optimization.

Mobile edge computing Medical healthcare QoS Window-based rate control algorithm BSA

SSCI ; EI

英语

ESI高被引

通讯

SUSTech Startup Fund[Y01236215/Y01236115]

Information Science & Library Science

Information Science & Library Science

WOS:000461038400024

ELSEVIER SCI LTD

20184005885774

5G mobile communication systems ; Edge computing ; Medical computing ; Motion Picture Experts Group standards ; Quality control ; Remote patient monitoring ; Surgery

Biomedical Engineering:461.1 ; Medicine and Pharmacology:461.6 ; Data Processing and Image Processing:723.2 ; Quality Assurance and Control:913.3

SOCIAL SCIENCES, GENERAL

Web of Science

1.Sukkur IBA Univ, Sukkur 65200, Sindh, Pakistan
2.Univ Lumiere Lyon 2, DISP LAB, Lyon, France
3.Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen Key Lab Computat Intelligence, Shenzhen 518055, Peoples R China
4.Vellore Inst Technol, Sch Comp Sci & Engn, Vellore 632014, Tamil Nadu, India
5.Sejong Univ, Digital Contents Res Inst, Intelligent Media Lab, Seoul, South Korea

Sodhro, Ali Hassan,Luo, Zongwei,Sangaiah, Arun Kumar,et al. Mobile edge computing based QoS optimization in medical healthcare applications[J]. INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT,2019,45:308-318.

Sodhro, Ali Hassan,Luo, Zongwei,Sangaiah, Arun Kumar,&Baik, Sung Wook.(2019).Mobile edge computing based QoS optimization in medical healthcare applications.INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT,45,308-318.

Sodhro, Ali Hassan,et al."Mobile edge computing based QoS optimization in medical healthcare applications".INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT 45(2019):308-318.