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IReHMo : An efficient IoT-Based Remote health Monitoring System for Smart Regions

机译:IReHMo:基于IoT的高效智能区域远程健康监控系统

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摘要

The ageing population worldwide is constantly rising, both in urban and regional areas. There is a need for IoT-based remote health monitoring systems that take care of the health of elderly people without compromising their convenience and preference of staying at home. However, such systems may generate large amounts of data. The key research challenge addressed in this paper is to efficiently transmit healthcare data within the limit of the existing network infrastructure, especially in remote areas. In this paper, we identified the key network requirements of a typical remote health monitoring system in terms of real-time event update, bandwidth requirements and data generation. Furthermore, we studied the network communication protocols such as CoAP, MQTT and HTTP to understand the needs of such a system, in particular the bandwidth requirements and the volume of generated data. Subsequently, we have proposed IReHMo - an IoT-based remote health monitoring architecture that efficiently delivers healthcare data to the servers. The CoAP-based IReHMo implementation helps to reduce up to 90% volume of generated data for a single sensor event and up to 56% required bandwidth for a healthcare scenario. Finally, we conducted a scalability analysis to determine the feasibility of deploying IReHMo in large numbers in regions of north Sweden.
机译:无论是在城市还是在地区,全球老龄化人口都在不断增加。需要基于物联网的远程健康监控系统,该系统可以照顾老年人的健康,同时又不影响他们的便利性和在家里的偏好。但是,此类系统可能会生成大量数据。本文解决的关键研究挑战是在现有网络基础架构的限制内,尤其是在偏远地区,有效地传输医疗保健数据。在本文中,我们从实时事件更新,带宽要求和数据生成方面确定了典型远程健康监控系统的关键网络要求。此外,我们研究了诸如CoAP,MQTT和HTTP之类的网络通信协议,以了解此类系统的需求,特别是带宽要求和生成的数据量。随后,我们提出了IReHMo-一种基于IoT的远程健康监控体系结构,可以将医疗保健数据有效地传递到服务器。基于CoAP的IReHMo实施有助于在单个传感器事件中减少多达90%的生成数据量,并为医疗保健场景减少多达56%的所需带宽。最后,我们进行了可扩展性分析,以确定在瑞典北部地区大量部署IReHMo的可行性。

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