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使用异构网络的远程健康监测系统

Remote health monitoring system using heterogeneous networks.

作者信息

Naidu Kalpana, Sunkaraboina Sreenu

机构信息

Department of ECE NIT-Warangal Telangana India.

出版信息

Healthc Technol Lett. 2021 Dec 24;9(1-2):16-24. doi: 10.1049/htl2.12020. eCollection 2022 Feb-Apr.

DOI:10.1049/htl2.12020
PMID:35340405
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8927882/
Abstract

This paper presents the implementation of a remote health monitoring system by using Heterogeneous Networks (HetNet), in which remote patients' vital data can be sent to the proximate hospital with very low end-to-end latency. To carry out the aforementioned process, patients' statistics are delivered initially from Wireless Body Area Network (WBAN) to the patients' mobile phone by using ISM band. Then, from there, contemporary networks make use of single wireless network alone to send the patients' data to the nearest hospital (even though there are multiple networks in a terrain). But, this particular network may have so much of end-to-end latency as a consequence of lack of resources in the network. However, in the proposed work, all the available heterogeneous Radio Access Technology (RAT) networks carry multiple patients' statistics to the nearest hospital by using either the RAT's free channels (in licensed band) or white space channels. Further, in order to reduce the latency in the proposed system, a novel hand-off method is suggested in this paper by exploiting SDR features. Moreover, simulation results reveal the effectiveness of the proposed system in terms of end-to-end latency and spectral efficiency.

摘要

本文介绍了一种利用异构网络(HetNet)实现的远程健康监测系统,在该系统中,远程患者的生命体征数据能够以极低的端到端延迟发送到附近的医院。为了实现上述过程,患者的统计数据首先通过ISM频段从无线体域网(WBAN)传送到患者的手机。然后,从那里开始,现有网络仅利用单一无线网络将患者数据发送到最近的医院(尽管一个区域内存在多个网络)。但是,由于网络资源匮乏,这个特定网络可能会有很高的端到端延迟。然而,在本文提出的工作中,所有可用的异构无线接入技术(RAT)网络通过使用RAT的空闲信道(在授权频段)或空白频段信道,将多个患者的统计数据传送到最近的医院。此外,为了降低所提系统中的延迟,本文通过利用软件定义无线电(SDR)特性提出了一种新颖的切换方法。此外,仿真结果揭示了所提系统在端到端延迟和频谱效率方面的有效性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a696/8927882/8170acebf9f9/HTL2-9-16-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a696/8927882/bd04b772e60c/HTL2-9-16-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a696/8927882/77fa05a9ba21/HTL2-9-16-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a696/8927882/1de369814709/HTL2-9-16-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a696/8927882/64278b3bf4fc/HTL2-9-16-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a696/8927882/7cbb30e87946/HTL2-9-16-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a696/8927882/6be76685ab16/HTL2-9-16-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a696/8927882/8170acebf9f9/HTL2-9-16-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a696/8927882/bd04b772e60c/HTL2-9-16-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a696/8927882/77fa05a9ba21/HTL2-9-16-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a696/8927882/1de369814709/HTL2-9-16-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a696/8927882/64278b3bf4fc/HTL2-9-16-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a696/8927882/7cbb30e87946/HTL2-9-16-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a696/8927882/6be76685ab16/HTL2-9-16-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a696/8927882/8170acebf9f9/HTL2-9-16-g001.jpg

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