Enabling Remote Health-Caring Utilizing IoT Concept over LTE-Femtocell Networks

Abstract

As the enterprise of the "Internet of Things" is rapidly gaining widespread acceptance, sensors are being deployed in an unrestrained manner around the world to make efficient use of this new technological evolution. A recent survey has shown that sensor deployments over the past decade have increased significantly and has predicted an upsurge in the future growth rate. In health-care services, for instance, sensors are used as a key technology to enable Internet of Things oriented health-care monitoring systems. In this paper, we have proposed a two-stage fundamental approach to facilitate the implementation of such a system. In the first stage, sensors promptly gather together the particle measurements of an android application. Then, in the second stage, the collected data are sent over a Femto-LTE network following a new scheduling technique. The proposed scheduling strategy is used to send the data according to the application's priority. The efficiency of the proposed technique is demonstrated by comparing it with that of well-known algorithms, namely, proportional fairness and exponential proportional fairness.

Fig 1. Sensors of the overall human body.

Fig 2. The main android program interface.

Fig 3. Main system diagram.

Fig 4. The average throughput per sensor for blood pressure, temperature, and heart rate applications (Class A).

Fig 5. The average throughput per sensor for ECG application (Class B).

Fig 6. The average throughput per sensor for glucose applications (Class C).

Fig 7. The delay for Class A and B applications.

(A) Illustrates the delay of blood pressure, temperature, and heart rate applications. (B) Shows the delay of the proposed and EXP/PF approaches for blood pressure, temperature, and heart rate applications.

Fig 8. The delay for ECG application.

Fig 9. The PLR for blood pressure, temperature, and heart rate applications.

Fig 10. The PLR for ECG application.