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Performance Evaluation of Wearable Sensor Systems: A Case Study in Moderate-Scale Deployment in Hospital Environment

机译:可穿戴传感器系统的性能评估:以医院环境中规模部署为例

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摘要

A wearable sensor system enables continuous and remote health monitoring and is widely considered as the next generation of healthcare technology. The performance, the packet error rate (PER) in particular, of a wearable sensor system may deteriorate due to a number of factors, particularly the interference from the other wearable sensor systems in the vicinity. We systematically evaluate the performance of the wearable sensor system in terms of PER in the presence of such interference in this paper. The factors that affect the performance of the wearable sensor system, such as density, traffic load, and transmission power in a realistic moderate-scale deployment case in hospital are all considered. Simulation results show that with 20% duty cycle, only 68.5% of data transmission can achieve the targeted reliability requirement (PER is less than 0.05) even in the off-peak period in hospital. We then suggest some interference mitigation schemes based on the performance evaluation results in the case study.
机译:可穿戴式传感器系统可实现连续和远程的健康监测,并被广泛认为是下一代医疗技术。可穿戴传感器系统的性能,尤其是分组错误率(PER),可能由于多种因素而恶化,尤其是附近附近其他可穿戴传感器系统的干扰。在存在此类干扰的情况下,我们会根据PER来系统评估可穿戴传感器系统的性能。在医院的实际中等规模部署情况下,都考虑了影响可穿戴传感器系统性能的因素,例如密度,交通负荷和传输功率。仿真结果表明,在占空比为20%的情况下,即使在医院的非高峰时段,只有68.5%的数据传输可以达到目标可靠性要求(PER小于0.05)。然后,根据案例研究中的性能评估结果,提出一些干扰缓解方案。

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