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A holistic simulation model for remote patient monitoring systems using Wireless Body Area Sensor Networks (WBASNs)

机译:使用无线人体区域传感器网络(WBASN)的远程病人监护系统的整体仿真模型

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Remote patient monitoring systems mainly depend on the standards and protocols of the Wireless Body Area Sensor Networks (WBASNs). The increasing demand for these systems impose various challenges, including time bounded services, specific data rates, prioritized data transmission and energy consumption, etc. These challenges maps on the different layers of the protocol stack for WBASNs. In this context, a lot of new protocols for applications, MAC, network and physical layer have been proposed; however, few describe a complete simulation model to evaluate patient monitoring system. In this context, this work examines and proposes a simulation model based on the CASTALIA 3.2 simulator with an OMNeT++ framework to evaluate the patient monitoring system. The proposed model consist of six biomedical sensor nodes, including electrocardiography (ECG), blood pressure (BP), accelerometer, temperature, blood oxygen saturation and glucose monitor. The model defines the data rate settings for these nodes at the application layer. All these nodes are configured in star topology and send data to a centralized controller. IEEE 802.15.4 standard is used for the MAC and PHY layer and ZigBee is used over network layer. Slotted carrier sense multiple access with collision avoidance (CSMA/CA) is used as a channel access mechanism, however, the model also accommodate prioritized channel access by configuring guaranteed time service (GTS) for an ECG node. To evaluate the model, the parameters including delay, packet delivery ratio (PDR) and energy consumption is used. To evaluate simulation model over patient monitoring system, we have considered 250 ms as maximum affordable delay. It is observed that most of the nodes delivered data to coordinator under 250 ms Moreover, for the GTS model, the prioritized node (ECG) shows the acceptable delay and PDR values. Further, GTSon mode utilizes less energy as compared to GTSoff mode. Overall, researchers can use this model as a guideline to e- aluate new protocols and standards of WBASNs.
机译:远程病人监护系统主要取决于无线人体区域传感器网络(WBASN)的标准和协议。对这些系统的需求不断增加,带来了各种挑战,包括限时服务,特定数据速率,优先数据传输和能耗等。这些挑战映射到WBASN协议栈的不同层上。在这种情况下,已经提出了许多针对应用,MAC,网络和物理层的新协议。但是,很少有人描述用于评估患者监护系统的完整仿真模型。在这种情况下,这项工作检查并提出了一个基于CASTALIA 3.2仿真器的仿真模型,该仿真器带有OMNeT ++框架来评估患者监护系统。该模型包括六个生物医学传感器节点,包括心电图(ECG),血压(BP),加速计,温度,血氧饱和度和血糖监测仪。该模型在应用程序层定义这些节点的数据速率设置。所有这些节点都以星形拓扑配置,并将数据发送到集中式控制器。 MAC和PHY层使用IEEE 802.15.4标准,网络层使用ZigBee。时隙避免冲突的载波侦听多路访问(CSMA / CA)被用作信道访问机制,但是,该模型还通过为ECG节点配置保证时间服务(GTS)来容纳优先的信道访问。为了评估模型,使用了包括延迟,数据包传送率(PDR)和能耗在内的参数。为了评估患者监护系统上的仿真模型,我们将250 ms作为最大的可承受延迟。可以观察到,大多数节点在250毫秒内将数据传递给协调器。此外,对于GTS模型,优先级节点(ECG)显示了可接受的延迟和PDR值。此外,与GTSoff模式相比,GTSon模式使用的能量更少。总体而言,研究人员可以将该模型用作评估WBASN的新协议和标准的指南。

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