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Use of Local Intelligence to Reduce Energy Consumption of Wireless Sensor Nodes in Elderly Health Monitoring Systems

机译:使用本地情报减少老人健康监测系统中无线传感器节点的能耗

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摘要

The percentage of elderly people in European countries is increasing. Such conjuncture affects socio-economic structures and creates demands for resourceful solutions, such as Ambient Assisted Living (AAL), which is a possible methodology to foster health care for elderly people. In this context, sensor-based devices play a leading role in surveying, e.g., health conditions of elderly people, to alert care personnel in case of an incident. However, the adoption of such devices strongly depends on the comfort of wearing the devices. In most cases, the bottleneck is the battery lifetime, which impacts the effectiveness of the system. In this paper we propose an approach to reduce the energy consumption of sensors' by use of local sensors' intelligence. By increasing the intelligence of the sensor node, a substantial decrease in the necessary communication payload can be achieved. The results show a significant potential to preserve energy and decrease the actual size of the sensor device units.
机译:欧洲国家中老年人的比例正在增加。这种状况影响着社会经济结构,并提出了对资源丰富的解决方案的需求,例如环境辅助生活(AAL),这是促进老年人保健的一种可能方法。在这种情况下,基于传感器的设备在调查例如老年人的健康状况方面起着主导作用,以在发生事故时提醒护理人员。但是,采用这种设备在很大程度上取决于佩戴设备的舒适度。在大多数情况下,瓶颈是电池寿命,这会影响系统的有效性。在本文中,我们提出了一种通过使用本地传感器的智能来减少传感器能耗的方法。通过增加传感器节点的智能,可以大大减少必要的通信有效负载。结果显示了节省能源和减小传感器设备单元实际尺寸的巨大潜力。

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