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IReHMo: An Efficient IoT-Based Remote Health Monitoring System for Smart Regions

机译:Irehmo:智能区域的基于高效的基于物联网远程健康监控系统

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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:在城市和地区,全世界老龄化人口不断上升。需要基于IOT的远程健康监测系统,从不损害他们在家里保持方便和偏好的方便和偏好的情况下照顾老年人的健康。然而,这种系统可能产生大量数据。本文解决的关键研究挑战是有效地在现有网络基础设施的限制内有效地传输医疗数据,特别是在偏远地区。在本文中,我们在实时事件更新,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,我们研究了网络通信协议,例如Coop,MQTT和HTTP以了解这种系统的需求,特别是带宽要求和生成数据的体积。随后,我们提出了ITHMO - 基于某种基于物联网的远程健康监控架构,可有效地将医疗保健数据提供给服务器。基于COAP的IREHMO实现有助于降低单个传感器事件的高达90%的生成数据,以及保健场景的最高56%的带宽。最后,我们进行了可扩展性分析,以确定在南瑞典地区部署Irehmo的可行性。

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