دانلود رایگان مقاله انگلیسی سیستم نظارت و مدیریت هوشمند سلامت: پوشش مستقل اینترنت اشیا با تحلیل داده های بزرگ - نشریه الزویر

Abstract

The current development and growth in the arena of Internet of Things (IoT) are providing a great potential in the route of the novel epoch of healthcare. The vision of the healthcare is expansively favored, as it advances the excellence of life and health of humans, involving several health regulations. The incessant increase of the multifaceted IoT devices in health is broadly tested by challenges such as powering the IoT terminal nodes used for health monitoring, real-time data processing and smart decision and event management. In this paper, we propose a healthcare architecture which is based analysis of energy harvesting for health monitoring sensors and the realization of Big Data analytics in healthcare. The rationale of proposed architecture is twofold: (1) comprehensive conceptual framework for energy harvesting for health monitoring sensors, and (2) data processing and decision management for healthcare. The proposed architecture is three-layered architecture, that comprised (1) energy harvesting and data generation, data pre-processing, and data processing and application. We also verified the consistent data sets on Hadoop server to validate the proposed architecture based on threshold limit value (TLV). The study reveals that the proposed architecture offer valuable imminent into the field of smart health.

6. CONCLUSION AND FUTURE WORK

The notion of health care‖ is believed by the widespread growth of IoT which influenced the researcher that the healthcare to be well-groomed. Though, the anxiety of healthcare is still suspicious, given the fact that the insurgency of the conventional health monitoring functions includes novelty in IoT end terminals, the ability of processing of massive data, and the networking. Therefore, the businesses and geniuses are very much keen in shaping the underpinning architecture practical healthcare. In this paper, an efficient smart health monitoring architecture is proposed using Big Data analytics. Smart decision and event management is the foremost purpose of this research. Framework for energy harvesting in IoT is proposed. The comprehensive analysis and discussion are carried out about the energy harvesting using piezoelectricity for health monitoring sensors. The Big Data analytics is performed using the Hadoop server with MapReduce mechanism. A variety of datasets is examined, evaluated, analyzed and tested, based on which it is shown that how healthcare can be performed using Big Data. Nevertheless, the proposed scheme does not reflect a generic way out; it is deliberated for explicit objectives. Furthermore, the proposed work can be extended in future.