2690-6791ISSN (Online)
2769-786XISSN (Print)
Volume 0 , Issue 2 , PP: 90-99, 2019 | Cite this article as | XML | Html | PDF | Full Length Article
Salah-ddine Krit 1 *
Thanks to advances in nanodevices and internet technology, it is now possible for devices from different manufacturers to be connected and communicate with one another. Among the fields that benefited from this technology integration were healthcare and general well-being. Healthcare had been established to lower healthcare expenses and offer enhanced and dependable services. Nevertheless, the primary difficulty in building such systems has continually been ensuring a high quality of service (QoS) in terms of quicker reaction and complicated analysis of data, given the sensitive and medical data. To solve these problems, this article suggests a heterogeneous Health Monitoring System built on mist, fog, and the cloud that can process and route data in both immediately and in form of a batch. In addition, the proposed system uses software-defined networking and load-stabilizing method to make sure that all available resources are being used effectively and efficiently. Experimental simulations validated that our system could achieve excellent QoS, with acceptable delay and packet delivery rate, which is crucial for the creation of sustainable healthcare solutions.
Sustainability , Smart Healthcare , Internet of Things (IoT) , Monitoring System , , QoS
[1]. Liu, Zhuo, et al. "Deep reinforcement learning with its application for lung cancer detection in medical Internet of Things." Future Generation Computer Systems 97 (2019): 1-9.
[2]. Gatouillat, Arthur, et al. "Internet of medical things: A review of recent contributions dealing with cyberphysical systems in medicine." IEEE internet of things journal 5.5 (2018): 3810-3822.
[3]. Elhoseny, Mohamed, et al. "Effective features to classify ovarian cancer data in internet of medical things." Computer Networks 159 (2019): 147-156.
[4]. Manogaran, Gunasekaran, Naveen Chilamkurti, and Ching-Hsien Hsu. "Emerging trends, issues, and challenges in Internet of Medical Things and wireless networks." Personal and Ubiquitous Computing 22.5 (2018): 879-882.
[5]. Sun, Yingnan, Frank P-W. Lo, and Benny Lo. "Security and privacy for the internet of medical things enabled healthcare systems: A survey." IEEE Access 7 (2019): 183339-183355.
[6]. Gondalia, A., Dixit, D., Parashar, S., Raghava, V., Sengupta, A., & Sarobin, V. R. (2018). IoT-based healthcare monitoring system for war soldiers using machine learning. Procedia computer science, 133, 1005-1013.
[7]. Dineshkumar, P., SenthilKumar, R., Sujatha, K., Ponmagal, R. S., & Rajavarman, V. N. (2016, December). Big data analytics of IoT based Health care monitoring system. In 2016 IEEE Uttar Pradesh section international conference on electrical, computer and electronics engineering (UPCON) (pp. 55-60). IEEE.
[8]. Gupta, P., Agrawal, D., Chhabra, J., & Dhir, P. K. (2016, March). IoT based smart healthcare kit. In 2016 International Conference on Computational Techniques in Information and Communication Technologies (ICCTICT) (pp. 237-242). IEEE.
[9]. Vippalapalli, V., & Ananthula, S. (2016, October). Internet of things (IoT) based smart health care system. In 2016 International Conference on signal processing, communication, power and embedded system (SCOPES) (pp. 1229-1233). IEEE.
[10]. Plageras, A. P., Psannis, K. E., Ishibashi, Y., & Kim, B. G. (2016, October). IoT-based surveillance system for ubiquitous healthcare. In IECON 2016-42nd Annual Conference of the IEEE Industrial Electronics Society (pp. 6226-6230). IEEE.
[11]. Archip, A., Botezatu, N., Şerban, E., Herghelegiu, P. C., & Zală, A. (2016, May). An IoT based system for remote patient monitoring. In 2016 17th international carpathian control conference (ICCC)(pp. 1-6). IEEE.
[12]. Khoi, N. M., Saguna, S., Mitra, K., & Ǻhlund, C. (2015, October). IReHMo: An efficient IoTbased remote health monitoring system for smart regions. In 2015 17th international conference on ehealth networking, application & services (HealthCom) (pp. 563-568). IEEE.
[13]. Kumar, R., & Rajasekaran, M. P. (2016, January). An IoT based patient monitoring system using raspberry Pi. In 2016 International Conference on Computing Technologies and Intelligent Data Engineering (ICCTIDE'16) (pp. 1-4). IEEE.
[14]. Mdhaffar, A., Chaari, T., Larbi, K., Jmaiel, M., & Freisleben, B. (2017, July). IoT-based health monitoring via LoRaWAN. In IEEE EUROCON 2017-17th international conference on smart technologies(pp. 519-524). IEEE.
[15]. Neyja, M., Mumtaz, S., Huq, K. M. S., Busari, S. A., Rodriguez, J., & Zhou, Z. (2017, December). An IoT-based e-health monitoring system using ECG signal. In GLOBECOM 2017-2017 IEEE Global Communications Conference (pp. 1-6). IEEE.
[16]. Prajapati, B., Parikh, S., & Patel, J. (2018). An intelligent real time IoT based system (IRTBS) for monitoring ICU patient. In Information and Communication Technology for Intelligent Systems (ICTIS 2017)-Volume 2 2 (pp. 390-396). Springer International Publishing.
[17]. Ani, R., Krishna, S., Anju, N., Aslam, M. S., & Deepa, O. S. (2017, September). Iot based patient monitoring and diagnostic prediction tool using ensemble classifier. In 2017 International conference on advances in computing, communications and informatics (ICACCI) (pp. 1588-1593). IEEE.
[18]. Prajapati, B., Parikh, S., & Patel, J. (2018). An intelligent real time IoT based system (IRTBS) for monitoring ICU patient. In Information and Communication Technology for Intelligent Systems (ICTIS 2017)-Volume 2 2 (pp. 390-396). Springer International Publishing.
