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.

Statistical Modelling and Characterization of Experimental mm-Wave Indoor Channels for Future 5G Wireless Communication Networks

“…The developed controller provides hard reliability guarantees to the Cloud Service Provider and is also capable of self-acquiring context information about the currently available bandwidth-energy resources [ 15 , 16 ]. As the fundamental challenges of wireless communications have been narrowed down to capacity and bandwidth [ 17 , 18 ], recent studies suggest that the mm-wave bands could be used to augment the current depleting bandwidth, to free up the already saturated 700 MHz to 2.6 GHz radio spectrum bands, and to create opportunity for more spectrum access for wireless communications [ 19 ]. The introduction of cost-effective CMOS technology that operates efficiently in the mm-wave bands, combined with high-gain and steerable antennas at both mobile and base stations, promises to increase the viability of the mm-wave spectrum in wireless communications [ 20 ].…”

Real-Time Remote-Health Monitoring Systems: a Review on Patients Prioritisation for Multiple-Chronic Diseases, Taxonomy Analysis, Concerns and Solution Procedure

“…This application includes two stages: Firstly, vital signs are gathered from various sensors, and then it categorises patient status. Secondly, the application sends the gathered vital signs through LTEFemto Cell networks to healthcare centres for patient prioritisation [168]. Another research attempted to develop a system that is based on optimisation using multiswarm PSO technique and can handle some healthcare issues, such as the delivery of services to numerous patients, difficulty in storing large data because of unavailability of servers and data requests that are uncategorised and not enhanced by patient prioritisation [169].…”

Channel Characterization and Path Loss Modeling in Indoor Environment at 4.5, 28, and 38 GHz for 5G Cellular Networks

“…Models. The close-in (CI) free-space path loss model is a well-known path loss model [45]. In general, the path loss model is applied to demonstrate the impacts of the channel induced in virtue of the adjacent setting.…”

“…The path loss model evaluates the power attenuation parameter, which is referred to as the fading behavior being a function of distance and frequency. The close-in (CI) free-space path loss model is denoted as follows (1) [45]:…”