research-article Free Access
- Authors:
- Tongguang Zhang School of 3D Printing, Xinxiang University, Xinxiang, China
School of 3D Printing, Xinxiang University, Xinxiang, China
Search about this author
- Xiaokang Zhou Faculty of Data Science, Shiga University, Hikone, Japan
Faculty of Data Science, Shiga University, Hikone, Japan
Search about this author
- Jialei Liu Computer School, Hubei University of Arts and Science, Xiangyang, China
Computer School, Hubei University of Arts and Science, Xiangyang, China
Search about this author
- Bo Cheng School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China
School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, China
Search about this author
- Xiaolong Xu College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China
College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China
Search about this author
- Lianyong Qi College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China
College of Computer Science and Technology, China University of Petroleum (East China), Qingdao, China
Search about this author
- Qiaomei Tian School of Computer and Information Engineering, Henan Normal University, Xinxiang, China
School of Computer and Information Engineering, Henan Normal University, Xinxiang, China
Search about this author
- Zhiguo Wan Basic Theory Research Institute, Zhejiang Lab, Hangzhou, China
Basic Theory Research Institute, Zhejiang Lab, Hangzhou, China
Search about this author
IEEE Transactions on Consumer ElectronicsVolume 69Issue 4Nov. 2023pp 719–733https://doi.org/10.1109/TCE.2023.3319000
Published:26 September 2023Publication History
- 0citation
- 0
- Downloads
Metrics
Total Citations0Total Downloads0Last 12 Months0
Last 6 weeks0
- Get Citation Alerts
New Citation Alert added!
This alert has been successfully added and will be sent to:
You will be notified whenever a record that you have chosen has been cited.
To manage your alert preferences, click on the button below.
Manage my Alerts
New Citation Alert!
Please log in to your account
- Publisher Site
IEEE Transactions on Consumer Electronics
Volume 69, Issue 4
PreviousArticleNextArticle
Abstract
The COVID-19 pandemic has elicited interest in the development of novel, low-cost solutions for tele-healthcare that patients can use to consult with doctors using consumer electronics (CEs). Android CEs typically have multiple network interfaces. Simultaneous access to multiple interfaces can greatly enhance users’ quality of experience (QoE). To enhance data transmission throughput and robustness in tele-healthcare systems, we propose a QoE-driven data communication framework which can cater to all types of healthcare apps. The framework includes a QoE-driven congestion controller (QCC) and a QoE-driven MPTCP (multipath transmission control protocol) scheduler (QMS). Different app types correspond to specific QoE parameters that influence the QCC and QMS for meeting diverse healthcare app requirements. No server-side modifications are needed for this framework; only changes on the Android client side are necessary. We implement and experiment with the framework on an Android 13 smartphone in a real environment. Experimental results confirm the framework’s effectiveness and availability, and show that the QCC and QMS reduce completion time for transferring small files by at least 4.71% and for transferring big file by at least 13.94% compared with existing solutions.
References
- [1] Sethuraman S. C., Kompally P., Mohanty S. P., and Choppali U., “MyWear: A novel smart garment for automatic continuous vital monitoring,” IEEE Trans. Consum. Electron., vol. 67, no. 3, pp. 214–222, Aug. 2021.Google ScholarDigital Library
- [2] Kim H., Ben-Othman J., Mokdad L., Son J., and Li C., “Research challenges and security threats to AI-driven 5G virtual emotion applications using autonomous vehicles, drones, and smart devices,” IEEE Netw., vol. 34, no. 6, pp. 288–294, Nov./Dec. 2020.Google ScholarDigital Library
- [3] “TCP extensions for multipath operation with multiple addresses” Accessed: Jul. 10, 2023. {[}Online{]}. Available: https://datatracker.ietf.org/doc/html/rfc8684Google Scholar
- [4] Lim Y., Nahum E. M., Towsley D., and Gibbens R. J., “ECF: An MPTCP path scheduler to manage heterogeneous paths,” in Proc. 13th Int. Conf. Emerg. Netw. Exp. Technol. (CoNEXT),
New York, NY, USA ,2017 , pp. 147–159.Google Scholar - [5] Chodorek R. R. and Chodorek A., “MPTCP protocol misbehaviour in high-speed, uncongested network,” J. Marine Eng. Technol., vol. 16, no. 4, pp. 248–256, 2017.Google ScholarCross Ref
- [6] Ferlin S., Kucera S., Claussen H., and Alay Ö., “MPTCP meets FEC: Supporting latency-sensitive applications over heterogeneous networks,” IEEE/ACM Trans. Netw., vol. 26, no. 5, pp. 2005–2018, Oct. 2018.Google ScholarDigital Library
- [7] Coninck Q. D. and Bonaventure O., “Tuning multipath TCP for interactive applications on smartphones,” in Proc. IFIP Netw. Conf. Workshops,
2018 , pp. 487–495.Google Scholar - [8] Jiang W.et al., “A wearable tele-health system towards monitoring COVID-19 and chronic diseases,” IEEE Rev. Biomed. Eng., vol. 15, pp. 61–84, Mar. 2022. [Online]. Available: https://ieeexplore.ieee.org/document/9390214Google Scholar
- [9] Liu Y., Guo S., Yang Z., Hirata H., and Tamiya T., “A home-based tele-rehabilitation system with enhanced therapist-patient remote interaction: A feasibility study,” IEEE J. Biomed. Health Inform., vol. 26, no. 8, pp. 4176–4186, Aug. 2022.Google Scholar
- [10] Kim H. and Ben-Othman J., “Eco-friendly low resource security surveillance framework toward green AI digital twin,” IEEE Commun. Lett., vol. 27, no. 1, pp. 377–380, Jan. 2023.Google ScholarCross Ref
- [11] Ye Y., Lee B., Flynn R., Xu J., Fang G., and Qiao Y., “Delay-based network utility maximization modelling for congestion control in named data networking,” IEEE/ACM Trans. Netw., vol. 29, no. 5, pp. 2184–2197, Oct. 2021.Google ScholarDigital Library
- [12] He B.et al., “Learning-based real-time transmission control for multi-path TCP networks,” IEEE Trans. Cogn. Commun. Netw., vol. 9, no. 5, pp. 1353–1369, Oct. 2023. doi:
10.1109/TCCN.2023.3287234 .Google ScholarCross Ref - [13] Cao Y., Ji R., Ji L., Lei G., Wang H., and Shao X., “l2-MPTCP: A learning-driven latency-aware multipath transport scheme for industrial Internet applications,” IEEE Trans. Ind. Informat., vol. 18, no. 12, pp. 8456–8466, Dec. 2022.Google ScholarCross Ref
- [14] Thomas Y., Karaliopoulos M., Xylomenos G., and Polyzos G. C., “Low latency friendliness for multipath TCP,” IEEE/ACM Trans. Netw., vol. 28, no. 1, pp. 248–261, Feb. 2020.Google ScholarDigital Library
- [15] He B.et al., “DeepCC: Multi-agent deep reinforcement learning congestion control for multi-path TCP based on self-attention,” IEEE Trans. Netw. Service Manag., vol. 18, no. 4, pp. 4770–4788, Dec. 2021.Google ScholarCross Ref
- [16] Palash M. R. and Chen K., “MPWiFi: Synergizing MPTCP based simultaneous multipath access and WiFi network performance,” IEEE Trans. Mobile Comput., vol. 19, no. 1, pp. 142–158, Jan. 2020.Google ScholarDigital Library
- [17] Balakiruthiga B. and Deepalakshmi P., “A simple congestion avoidance mechanism for OpenDaylight (ODL)–MPTCP network structure in software defined data center (SDDC),” in Proc. 5th Int. Conf. Adv. Comput. Commun. Syst. (ICACCS),
Coimbatore, India ,2019 , pp. 886–893.Google Scholar - [18] Zhong H., Dong P., Tang W., Yang B., and Xie J., “A short flows fast transmission algorithm based on MPTCP congestion control,” in Proc. Int. Conf. Artif. Intell. Security,
Hohhot, China ,2020 , pp. 786–797.Google Scholar - [19] Zhao Y., Cheng G., Zhang W., Chen X., and Li J., “BCTCP: A feedback-based congestion control method,” China Commun., vol. 17, no. 6, pp. 13–25, Jun. 2020.Google Scholar
- [20] Yang W., Dong P., Cai L., and Tang W., “Loss-aware throughput estimation scheduler for multi-path TCP in heterogeneous wireless networks,” IEEE Trans. Wireless Commun., vol. 20, no. 5, pp. 3336–3349, May 2021.Google ScholarCross Ref
- [21] Wei W., Xue K., Han J., Wei D. S. L., and Hong P., “Shared bottleneck-based congestion control and packet scheduling for multipath TCP,” IEEE/ACM Trans. Netw., vol. 28, no. 2, pp. 653–666, Apr. 2020.Google ScholarDigital Library
- [22] Yang J.et al., “TCCC: A throughput consistency congestion control algorithm for MPTCP in mixed transmission of long and short flows,” IEEE Trans. Netw. Service Manag., vol. 20, no. 3, pp. 2652–2667, Sep. 2023. doi:
10.1109/TNSM.2023.3242419 .Google ScholarDigital Library - [23] Paasch C., Ferlin S., Alay O., and Bonaventure O., “Experimental evaluation of multipath TCP schedulers,” in Proc. ACM SIGCOMM Workshop Capacity Sharing Workshop,
2014 , pp. 27–32.Google Scholar - [24] Kimura B. Y. L., Lima D. C. S. F., and Loureiro A. A. F., “Packet scheduling in multipath TCP: Fundamentals, lessons, and opportunities,” IEEE Syst. J., vol. 15, no. 1, pp. 1445–1457, Mar. 2021.Google ScholarCross Ref
- [25] Dong E., Xu M., Fu X. M., and Cao Y., “A loss aware MPTCP scheduler for highly lossy networks,” Comput. Netw., vol. 157, pp. 146–158, Jul. 2019.Google ScholarDigital Library
- [26] Xing Y., Han J., Xue K., Liu J., Pan M., and Hong P., “MPTCP meets big data: Customizing transmission strategy for various data flows,” IEEE Netw., vol. 34, no. 4, pp. 35–41, Jul./Aug. 2020.Google ScholarCross Ref
- [27] Schmidt P. S., Enghardt T., Khalili R., and Feldmann A., “Socket intents: Leveraging application awareness for multi-access connectivity,” in Proc. 9th ACM Conf. Emerg. Netw. Exp. Technol.,
New York, NY, USA ,2013 , pp. 295–300.Google Scholar - [28] Cao Y., Chen S., Liu Q., Zuo Y., Wang H., and Huang M., “QoE-driven energy-aware multipath content delivery approach for MPT CP-based mobile phones,” China Commun., vol. 14, no. 2, pp. 90–103, Feb. 2017.Google Scholar
- [29] “Linux_MPTCP” Accessed: Jul. 10, 2023. [Online]. Available: https://multipath-tcp.org/pmwiki.php/Main/HomePageGoogle Scholar
- [30] Zhang T., Zhao S., and Cheng B., “Multipath routing and MPTCP-based data delivery over MANETs,” IEEE Access, vol. 8, pp. 32652–32673, 2020.Google ScholarCross Ref
- [31] Prakash M., Abdrabou A., and Zhuang W., “An experimental study on multipath TCP congestion control with heterogeneous radio access technologies,” IEEE Access, vol. 7, pp. 25563–25574, 2019.Google ScholarCross Ref
- [32] “TCP slow start, congestion avoidance, fast retransmit, and fast recovery algorithms” Accessed: Jul. 10, 2023. [Online]. Available: https://datatracker.ietf.org/doc/rfc2001Google Scholar
- [33] Barik R., Welzl M., Ferlin S., and Alay O., “LISA: A linked slow-start algorithm for MPTCP,” in Proc. IEEE Int. Conf. Commun. (ICC),
2016 , pp. 1–7.Google Scholar - [34] Khalili R., Gast N., Popovic M., and Le Boudec J., “MPTCP is not Pareto-optimal: Performance issues and a possible solution,” IEEE/ACM Trans. Netw., vol. 21, no. 5, pp. 1651–1665, Oct. 2013.Google ScholarDigital Library
- [35] Cao Y., Xu M., and Fu X., “Delay-based congestion control for multipath TCP,” in Proc. 20th IEEE Int. Conf. Netw. Protocols (ICNP),
Austin, TX, USA ,2012 , pp. 1–10.Google Scholar - [36] “Coupled congestion control for multipath transport protocols” Accessed: Jul. 10, 2023. [Online]. Available: https://datatracker.ietf.org/doc/rfc6356Google Scholar
- [37] Cardwell N., Cheng Y., Gunn C., Yeganeh S., and Jacobson V., “BBR: Congestion-based congestion control,” Commun. ACM, vol. 60, no. 2, pp. 58–66, Feb. 2017.Google ScholarDigital Library
- [38] Hesmans B., duch*ene F., Paasch C., Detal G., and Bonaventure O., “Are TCP extensions middlebox-proof?,” in Proc. HotMiddleboxCoNEXT,
2013 , pp. 37–42.Google Scholar - [39] Zhang T. G., Zhao S., Cheng B., Ren B., and Chen J., “FEP: High fidelity experiment platform for mobile networks,” IEEE Access, vol. 6, pp. 3858–3871, 2018.Google ScholarCross Ref
- [40] “Applying MPTCP to wireless edge networks” Accessed: Jul. 10, 2023. [Online]. Available: https://github.com/ztguang/QccQms4MPTCP-V3Google Scholar
Cited By
View all
Index Terms
QoE-Driven Data Communication Framework for Consumer Electronics in Tele-Healthcare System
Applied computing
Life and medical sciences
Health care information systems
Networks
Network types
Software and its engineering
Index terms have been assigned to the content through auto-classification.
Recommendations
- A scalable mobile tele-consultation framework for enhancing healthcare access
ACWR '11: Proceedings of the 1st International Conference on Wireless Technologies for Humanitarian Relief
Access to healthcare is extremely poor in almost every region within India due to a variety of factors including large populations, substantially low presence of health care experts, lack of medical resources and economic constraints. The situation is ...
Read More
- Consumer-Driven Technologies in Healthcare: Breakthroughs in Research and Practice
Read More
- QoE Doctor: Diagnosing Mobile App QoE with Automated UI Control and Cross-layer Analysis
IMC '14: Proceedings of the 2014 Conference on Internet Measurement Conference
Smartphones have become increasingly prevalent and important in our daily lives. To meet users' expectations about the Quality of Experience (QoE) of mobile applications (apps), it is essential to obtain a comprehensive understanding of app QoE and ...
Read More
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in
Full Access
Get this Article
- Information
- Contributors
Published in
IEEE Transactions on Consumer Electronics Volume 69, Issue 4
Nov. 2023
522 pages
ISSN:0098-3063
Issue’s Table of Contents
1558-4127 © 2023 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information.
Sponsors
In-Cooperation
Publisher
IEEE Press
Publication History
- Published: 26 September 2023
Qualifiers
- research-article
Conference
Funding Sources
Other Metrics
View Article Metrics
- Bibliometrics
- Citations0
Article Metrics
- View Citations
Total Citations
Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Other Metrics
View Author Metrics
Cited By
This publication has not been cited yet
Digital Edition
View this article in digital edition.
View Digital Edition
- Figures
- Other
Close Figure Viewer
Browse AllReturn
Caption
View Issue’s Table of Contents