可穿戴传感器系统的性能评估：医院环境中中等规模部署的案例研究
Performance Evaluation of Wearable Sensor Systems: A Case Study in Moderate-Scale Deployment in Hospital Environment.
作者信息
Sun Wen, Ge Yu, Zhang Zhiqiang, Wong Wai-Choong
机构信息
Department of Electrical and Computer Engineering, National University of Singapore, Singapore 119613, Singapore.
Institute for Infocomm Research, Agency for Science, Technology and Research, Singapore 138632, Singapore.
出版信息
Sensors (Basel). 2015 Sep 25;15(10):24977-95. doi: 10.3390/s151024977.
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.
可穿戴传感器系统能够实现连续和远程健康监测，被广泛视为下一代医疗技术。可穿戴传感器系统的性能，尤其是误包率（PER），可能会由于多种因素而恶化，特别是附近其他可穿戴传感器系统的干扰。在本文中，我们系统地评估了在存在这种干扰的情况下，可穿戴传感器系统在误包率方面的性能。我们考虑了影响可穿戴传感器系统性能的因素，如在医院实际中等规模部署情况下的密度、流量负载和发射功率。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期，也只有68.5%的数据传输能够达到目标可靠性要求（误包率小于0.05）。然后，我们根据案例研究中的性能评估结果提出了一些干扰缓解方案。
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