Emergency-level-based healthcare information offloading over fog network
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Recently, the healthcare technologies continue to develop rapidly, especially various wearable Internet of Things (IoT) devices for body network have been invented one after another. The relevant products can already be easily purchased in the market such as the smart bracelet, smart blood pressure monitor and so on. These healthcare devices not only make users able to understand their own body information more in more detail but also provide a communication way to the hospital. It means that patients can obtain the professional medical prescription advice without going to the hospital in person because the health information can transmit to the medical cloud through any network interfaces. Additionally, both medical records of patients and prescription advice from doctors are stored in the cloud. In order to provide the better service quality, the use of fog in the network edge can quickly response the requests from the patients. The computing power of the fog node is less than the cloud. Therefore, balancing the trade-off between cloud and fog is very important. In this paper, we formulate an optimization problem about offloading then use the metaheuristic to find out the best policy. Moreover, we also design an emergency supporting measure. Simulation results show that the proposed methods can provide a more efficient healthcare service.
KeywordsHealthcare Fog network Offloading
This research was partly funded by the National Science Council of the R.O.C. under grants MOST 107-2221-E-197-005-MY3.
- 2.Ma Y -J, Zhang Y, Dung O M, Li R, Zhang D -Q (2015) Health internet of things: recent applications and outlook. Int J Intell Technol 16(2):351–362Google Scholar
- 3.Li T-M, Liao C-C, Cho H-H, Chien W-C, Lai C-F, Chao H-C (2017) An e-healthcare sensor network load-balancing scheme using SDN-SFC. In: Proceedings of IEEE 19th international conference on e-health networking, applications and services (Healthcom’17), pp 1–4Google Scholar
- 4.Hamalainen M, Pirinen P, Iinatti J (2008) Taparugssanagorn, A UWB supporting medical ICT applications. In: Proceedings of IEEE international conference on ultra-wideband’08. ICUWB 2008, pp 15–16Google Scholar
- 6.Rohokale VM, Prasad NR, Prasad R (2011) A cooperative internet of things (IoT) for rural healthcare monitoring and control. In: Proceedings of 2nd international conference on wireless communication, vehicular technology, information theory and aerospace & electronic systems technology (Wireless VITAE’11), pp 1–6Google Scholar
- 7.Liu Y, Niu J, Yang L, Shu L (2014) eBPlatform: an IoT-based system for NCD patients homecare in China. In: Proceedings of IEEE global communications conference (GLOBECOM’14), pp 2448– 2453Google Scholar
- 11.Kitanov S, Janevski T (2018) Fog computing service orchestration mechanisms for 5G networks. J Internet Technol 19(1):297– 305Google Scholar
- 12.Amazing Healthcare Technology Innovations in 2016 (2016) https://getreferralmd.com/2016/01/healthcare-technology-2016/
- 16.Yi S, Li C, Li Q (2015) A survey of fog computing: concepts, applications and issues. In: Proceedings of the 2015 workshop on mobile big data, pp 37–42Google Scholar
- 19.Luan TH, Gao L, Li Z, Xiang Y, Wei G, Sun L (2015) Fog computing: focusing on mobile users at the edge. arXiv:1502.01815
- 21.Lyu L, Nandakumar K, Rubinstein B, Jin J, Bedo J, Palaniswami M (2018) PPFA: Privacy preserving fog-enabled aggregation in smart grid. IEEE Transactions on Industrial InformaticsGoogle Scholar