Internet of Things Based Cloud Smart Monitoring for Asthma Patient

Tabarek G. AL-Jaf; Emad H. Al-Hemiary

doi:10.25212/lfu.qzj.2.2.36

Authors

Tabarek G. AL-Jaf Networks Engineering Department, College of Information Engineering, Al-Nahrain University – Baghdad - Iraq
Emad H. Al-Hemiary Networks Engineering Department, College of Information Engineering, Al-Nahrain University – Baghdad - Iraq

DOI:

https://doi.org/10.25212/lfu.qzj.2.2.36

Keywords:

Internet of Things, IoT, Asthma monitoring system, IoTCloud-HTTP

Abstract

The Internet of Things (IoT) is becoming the sinew of today and future technology. It can be exploited to make life much easier for human beings by taking the advantage that they have their own smart devices connected to the Internet. From this perspective, many society related issues like chronic diseases can be solved. In this paper, an IoT based remote monitoring for Asthma patients is designed and implemented. The work is initiated with a survey on Asthma chronic disease by asking specialists in this field then discussing how to monitor and control it using IoT technology. The prototype IoT Asthma monitoring system consists of a heart pulse sensor controlled by ESP8266. The data collected from the sensor is passed wirelessly to the ESP8266 in real time which in turn is send to the cloud using HTTP protocol. In the cloud, a MySQL database is used to store the received readings. The
monitoring facility; hospital, doctor or person can browse the webpage written in PHP to monitor live update of patient condition. The work includes simulation of the network using packet tracer to verify its operation.

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References

A. Ngu, M. Gutierrez, V. Metsis, S. Nepal, and M. Sheng, "IoT Middleware: A Survey on Issues and Enabling technologies," IEEE Internet of Things Journal, Vol. 4, Issue 4, Feb. 2017, pp. 1-20.

D. Minoli, K. Sohraby, and B. Occhiogrosso, "IoT Considerations, Requirements, and Architectures for Smart Buildings – Energy Optimization and Next Generation Building Management Systems," IEEE Internet of Things Journal, Vol.4, Issue 1, Feb. 2017, pp. 269-283.

D. Chen, N. Zhang, Z. Qin, X. Mao, Z. Qin, X. Shen, and X. Li. "S2M: A Lightweight Acoustic Fingerprints based Wireless Device Authentication Protocol." IEEE Access, Vol.4, Feb. 2016, pp. 766-773.

Y. Sun, H. Song, A. Jara, and R. Bie, “Internet of Things and Big Data Analytics for Smart and Connected Communities” IEEE Internet of Things Journal, Vol.4, Issue 1, Feb. 2017, pp. 88-100.

H. Cai, B. Xu, L. Jiang, and A. Vasilakos, “IoT-Based Big Data Storage Systems in Cloud Computing: Perspectives and Challenges,” IEEE Internet of Things Journal, Vol.4, Issue 1, Feb. 2017, pp. 75-87.

"Oracle: Big Data for the Enterprise - White Paper." Jun. 2013. [7] U. S.U, O C. O and U. M. E, "Heartbeat Monitoring and Alert System Using GSM Technology," International Journal of Engineering Research and General Science, Volume 3, Issue 4, 2015, pp. 26-34.

D. Singh and R. Gour, “An IoT Framework for Healthcare Monitoring Systems,” Int. Journal of Computer Science and Information Security (IJCSIS), Vol. 14, No. 5, May 2016.

M. Hassanalieragh, A. Page, T. Soyata, G. Sharma, M. Aktas, G. Mateos, B. Kantarci, and S. Andreescu." Health Monitoring and Management Using Internet-of-Things (IoT) Sensing with Cloud-Based Processing: Opportunities and Challenges.", IEEE Int. Conf. on Service Computing, July 2015.

B. Anggorojati, N. Prasad, and R. Prasad, "Evaluation of secure capability-based access control in the M2M local cloud platform," 10th Int. Conf. on Telecommunication Systems Services and Applications (TSSA), Oct. 2016.

"ESP8266 WiFi Module Quick Start Guide”, [online] http://rancidbacon.com/files/kiwicon8/ESP8266_WiFi_Module_Quick_Start_Guide_v_ 1.0.4.pdf, (Accessed: 19 Mar. 2017).