title: 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.
authors.affiliation: Wireless Communication Centre, Universiti Teknologi Malaysia, Skudai 81310, Malaysia.
authors.forename: M N
authors.initials: MN
authors.lastname: Hindia
authors.affiliation: Wireless Communication Centre, Universiti Teknologi Malaysia, Skudai 81310, Malaysia.
authors.forename: T A
authors.initials: TA
authors.lastname: Rahman
authors.affiliation: Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia.
authors.forename: H
authors.initials: H
authors.lastname: Ojukwu
authors.affiliation: Department of Electrical Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur, Malaysia.
authors.forename: E B
authors.initials: EB
authors.lastname: Hanafi
authors.affiliation: Department of Computer Sciences, Faculty of Computing and Information Technology, King Abdulaziz University, Jeddah, Saudi Arabia.
authors.forename: A
authors.initials: A
authors.lastname: Fattouh
mesh_terms: D000465:Algorithms; D006801:Humans; D020407:Internet; D063731:Mobile Applications; D008991:Monitoring, Physiologic / Q000379:methods*