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首页> 外文期刊>Biomedical and Health Informatics, IEEE Journal of >Coexistence of ZigBee-Based WBAN and WiFi for Health Telemonitoring Systems
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Coexistence of ZigBee-Based WBAN and WiFi for Health Telemonitoring Systems

机译：基于ZigBee的WBAN和WiFi并存的健康远程监控系统

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The development of telemonitoring via wireless body area networks (WBANs) is an evolving direction in personalized medicine and home-based mobile health. A WBAN consists of small, intelligent medical sensors which collect physiological parameters such as electrocardiogram, electroencephalography, and blood pressure. The recorded physiological signals are sent to a coordinator via wireless technologies, and are then transmitted to a healthcare monitoring center. One of the most widely used wireless technologies in WBANs is ZigBee because it is targeted at applications that require a low data rate and long battery life. However, ZigBee-based WBANs face severe interference problems in the presence of WiFi networks. This problem is caused by the fact that most ZigBee channels overlap with WiFi channels, severely affecting the ability of healthcare monitoring systems to guarantee reliable delivery of physiological signals. To solve this problem, we have developed an algorithm that controls the load in WiFi networks to guarantee the delay requirement for physiological signals, especially for emergency messages, in environments with coexistence of ZigBee-based WBAN and WiFi. Since WiFi applications generate traffic with different delay requirements, we focus only on WiFi traffic that does not have stringent timing requirements. In this paper, therefore, we propose an adaptive load control algorithm for ZigBee-based WBAN/WiFi coexistence environments, with the aim of guaranteeing that the delay experienced by ZigBee sensors does not exceed a maximally tolerable period of time. Simulation results show that our proposed algorithm guarantees the delay performance of ZigBee-based WBANs by mitigating the effects of WiFi interference in various scenarios.
机译：通过无线体域网（WBAN）进行远程监控的发展是个性化医疗和基于家庭的移动医疗领域的发展方向。 WBAN由小型智能医疗传感器组成，这些传感器收集生理参数，例如心电图，脑电图和血压。记录的生理信号通过无线技术发送到协调器，然后传输到医疗保健监控中心。 ZigBee是WBAN中使用最广泛的无线技术之一，因为ZigBee的目标是要求低数据速率和较长电池寿命的应用。但是，基于ZigBee的WBAN在存在WiFi网络的情况下面临严重的干扰问题。此问题是由于大多数ZigBee通道与WiFi通道重叠而造成的，这严重影响了医疗监护系统确保可靠传送生理信号的能力。为了解决这个问题，我们开发了一种算法，该算法可以控制WiFi网络中的负载，以确保在基于ZigBee的WBAN和WiFi并存的环境中，生理信号（尤其是紧急消息）的延迟要求。由于WiFi应用程序产生的流量具有不同的延迟要求，因此我们仅关注没有严格时序要求的WiFi流量。因此，在本文中，我们提出了一种基于ZigBee的WBAN / WiFi共存环境的自适应负载控制算法，目的是确保ZigBee传感器所经历的延迟不超过最大可容忍的时间段。仿真结果表明，本文提出的算法通过减轻各种场景下WiFi干扰的影响，保证了基于ZigBee的WBAN的延迟性能。

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