An Analysis on Internet of Things (IoT) for Smart Healthcare
DOI:
https://doi.org/10.51983/ajcst-2019.8.S1.1985Keywords:
Devices, Internet of Things, Healthcare, Human, Life, Large, NetworkAbstract
The rapid evolution in the numbers of devices is connected to the Internet of Things and the increase of data. Internet of Things (IoT) refers to identifying a physical object through internet. The term Internet of Things is the concept of uniting computers and networks to monitor and control devices has been around for years. Any object can be connected in internet and it can be accessible from anywhere in the world using internet. Internet of things (IoT) is a fast growing user friendly technology which allows everything to be connected together and also allows effective communication between connected things. Intelligent devices of IoT like Radio-Frequency Identification (RFID) tags, smart sensors, and smart dust are connected on large network with unique accessibility. IoT exchanges data in small seconds and also it consumes less power. It makes human life comfortable and builds a smarter world. This paper provides an overview on the role of Internet of Things in smart healthcare management.
References
B. Farahani, F. Firouzi, V. Chang, M. Badaroglu, N. Constant, and K. Mankodiya, "Towards Fog-Driven IoT ehealth: Promises and Challenges of IoT in Medicine and Healthcare," Future Generation Computer Systems, vol. 78, no. 2, pp. 659-676, 2018.
A. Rahmani, P. Liljeberg, J. Preden, and A. Jantsch, "Fog Computing in the Internet of Things – Intelligence at the Edge," 1st ed., ISBN 978-3-319-57638-1, Springer, 2017.
I. Azimi, A.M. Rahmani, P. Liljeberg, and H. Tenhunen, "Internet of Things for Remote Elderly Monitoring: A Study from User-Centered perspective," Journal of Ambient Intelligence and Humanized Computing, vol. 8, no. 2, pp. 273-289, 2017.
T. Adame, A. Bel, A. Carreras, J. Meli-Segu, M. Oliver, and R. Pousa, "CUIDATS: An RFID WSN Hybrid Monitoring System for Smart Healthcare Environments," Future Generation Computer Systems, vol. 78, no. 2, pp. 602-615, 2018.
O. Ammae, J. Korpela, and T. Maekawa, "Unobtrusive Detection of Body Movements During Sleep Using Wi-Fi Received Signal Strength with Model Adaptation Technique," Future Generation Computer Systems, vol. 78, no. 2, pp. 616-625, 2018.
M.W.Woo, J.Lee, and K.Park, "A Reliable IoT System for Personal Healthcare Devices," Future Generation Computer Systems, vol. 78, no. 2, pp. 626-640, 2018.
A.M. Rahmani, T.N. Gia., B. Negash, A. Anzanpour, I. Azimi, M. Jiang, and P. Liljeberg, "Exploiting Smart E-Health Gateways at the Edge Of Healthcare Internet-Of-Things: A Fog Computing Approach," Future Generation Computer Systems, vol. 78, no. 2, pp. 641-658, 2018.
Y. Dalyah, Al-Jamal, H. Maryam Eshtaiwi, Liyakathunisa Syed, "IoT Based Process Model for Heart Monitoring Process," World Academy of Science, Engineering and Technology, International Journal of Computer and Systems Engineering, vol. 11, no. 6, pp. 783-788, 2017.
M. Hassanalieragh, A. Page, T. Soyata, G. Sharma, M. Akta, G. Mateos, B. Kantarci, S. Andreescu, "Health monitoring and Management using Internet-of-Things (IoT) Sensing with Cloud-Based Processing: Opportunities and Challenges," IEEE Computer Society, DOI 10.1109/SCC.2015.47, pp. 285-298, 2015.
S. Rajguru, S. Kinhekar and S. Pati, "Analysis of Internet of Things in a Smart Environment," International Journal of Enhanced Research in Management & Computer Applications, vol. 4, no. 4, pp. 40-43, 2015.
V. Mighali, L. Patrono, M.L. Stefanizzi, J. Joel, and P.C. Rodrigues, Petar Solic, "A Smart Remote Elderly Monitoring System Based on IoT Technologies," IEEE Computer Society, pp. 43-48, 2017.
"Internet of Things and Big Data – Better Together – Whizlabs," [Online] Available: http://www.whizlabs.com/blog/iot-and-big-data/.
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