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Sensors and Actuators A 173 (2012) 55 65传感器和作动器Prototype of a secure wireless patient monitoring system for the medicalCommunity医药团体中的安全无线病人监测系统的原型Keywords:关键字Wireless sensor networks 无线传感器网络Body sensor networks枝干传感器网络Key distribution主要贡献Cluster Schemes集群计划a b s t r a c t摘要Many medical applications set new demands on sensor network designs. They often involve highly variable data rates, multiple receivers and security. Most existing sensor network designs do not adequately support these requirements, focusing instead on aggregating small amounts of data from nodes without security. In this paper, we present a software design for medical sensor networks. 现在许多医药器材在传感器网络的设计上提出了许多新的要求。这些要求涉及到变量数据的控制、多个接收器和安全问题。大多数现存的传感网络的设计主要在没有安全保障的情况下是一些小的节点聚集起来的,而不是充分的去满足现在的新要求。在本论文中,我将给大家呈现一个为医药传感网络设计的软件。This framework provides a set of protocols and services specifically tailored for this application domain. It includes a secure communications model, an interface for periodic collection of sensor data, a dynamic sensor discovery protocol and protocols that monitor and save up to 70% of the energy of a node. The framework is built in TinyOS and a JAVA based user interface is provided to debug the framework and display the measured data. An extensive evaluation of the framework of a 6-node sensor test-bed is presented, measuring scalability and robustness as the number of sensors and the per node data rate are varied. The results show that the proposed framework is a scalable, robust, reliable and secure solution for medical applications.这个软件的框架专门给医药领域提供给了一套服务和原型。它包括一个安全的通信模式、一个周期性传感数据的接口、一个可以使每个节点节省70%能量的动态发现传感原型。该框架建立在以用户节点为基础的TinyOS和JAVA上,该节点提供纠正框架的错误和显示实测数据的功能。该结构的6节点传感器实验床的一个广延性评估在这个软件中呈现,用于测量作为一些列传感器的可伸缩性和坚固性及每个节点数据的变化。结果显示这个草拟框架对医药器材的可升缩、坚固可信的、安全的解决方法。All rights reserved.版权所有1. Introduction简介Recent advances in wireless networking have revealed newopportunities in a variety of applications including healthcare systems.In fact, the healthcare market is among the fastest growingmarkets for Wireless Sensor Network Technologies 1. The futurewill see the integration of the abundance of existing specializedmedical technology with wireless networks. One such examplewherein future medical systems can benefit the most from wirelessnetworks is continuous monitoring of patient vital signs withinthe hospital premises. Many medical ailments can be monitoredquite conveniently with the use of these networks within a hospitalenvironment and the recorded data can be immediately sent tothe physician for analysis in real-time.现代的无线网络高科技已经显示了包括卫生保健系统在内的一些列器材的新机会。事实上,卫生保健市场已经处于无线传感网络技术应用迅速增长的市场之中。未来将会见证富余现存的特殊无线传感网络应用的整合。举一个例子,未来的医药系统将从无线网络连续在医院建筑内进行的重病标志的监控。许多内科疾病可以在这些网络的使用更方便的监控,并且记录的数据可以马上送到内科医师那里进行及时分析和处理。Present systems in hospitals use sensors that are hardwired tonearby bedside monitors or PCs and thus restrict the patient tohis hospital bed. A wireless system does not require patients tobe confined to their beds; allows them to move around freely intheir room. However, there are no protocols in the literature asyet that fulfil all the requirements for this environment. Securityis a critical issue in wireless environments. As mentioned in 2,many security protocols already exist, but none that comply withthe requirements of medical environments such as: high reliability,high security, low communication, memory and computation cost.现在在医院系统用的传感器是硬连线于附近的显示器或个人电脑,以此来限制病人安稳的呆在自己的病床上;只允许他们自由的在自己的病房里运动。然而,这里没有作为履行在此环境的所有要求上的文学上礼节。在无线的环境下病人的安全成为了棘手的问题。许多安全礼节已经存在,但是目前还没有能和医药环境的需求相符合的,比如:高度的信任程度,高度的安全感,低交流、记忆、计算的费用。1.1. Related work相关的工作A number of other research projects are exploring medicalsensor networks. Most of these are concerned with developingwearable medical sensors 35 while others have developedinfrastructures for monitoring individual patients during dailyactivity 6, at home 7, or at a hospital 8. In contrast, our focus isto develop a robust, scalable and secure infrastructure for deployingsensor networks in a range of medical settings.一系列其他的调查项目正在探索医药传感器网络。大部分研究主要关注耐用的医药传感器,然而其他的在发展来监控在家或者在医院的单独的病人的全天活动的基础设施。 、相反的我的关注是发展一个坚固的,有伸缩并且安全的基础设施对一定范围内的医药设置进行传感器网络配置。More closely related to our efforts are systems such as CodeBlue911. This project is exploring applications of Wireless SensorNetwork Technology to a variety of medical applications, includingpre- and in-hospital emergency care, disaster response, and strokepatient rehabilitation, and a RF based location system 12. Themain development of this project is a wireless body area network(WBAN) with battery-powered motes and medical sensors (ECG,SPO2, Motion, EMG). The RF technology is based on the 802.15.4standard and uses TinyOS on Mica and Telos modules 13.和我们努力方向最相近的的系统像CodeBlue。这个项目正在探索对一些医药器材的无线传感器网络器材技术,这些器材包括急救、疾病反应、中风病人的复原和以无线电频率为基础的当地系统。这个项目的主要是向着用电池微尘和医药传感器带动的无线枝干区域网络方向发展。无线电频率技术是以802.15.4为基础的,使用TinyOS和Telos模块。Hu et al. 14 present a robust medical ad hoc sensor network(MASN) with wavelet-based ECG data mining. The solution uses aself-developed ECG sensor board on a TelosB Mote from Crossbow13. The network is organized as a cluster with one-hop and multihopcluster head routing and uses an energy level determinationcluster head election process. Security is based on keys built with a0924-4247/$ see front matter . one way hash function. This approach has two drawbacks: it is not possible to add new clusters or nodes in a cluster and it is possible to break the entire cluster if a node is compromised. The scheme also uses an enhanced Mote Track solution like CodeBlue.他向我们我们呈现了一个以EGC数据的坚固的医药最高输出信道传感器网络。解决的方法应用了来自Crossbow的自主发展的ECG传感器板。该网络像一簇由单一跳跃或多重跳跃组成的主要路线,并且应用了能量级别的决定主要选择过程。安全主要依赖于0924-4247/$的关键性建设。单向拼凑功能。这个方法有两个缺陷:增加一个新的簇群或微尘在一个簇群中是不大可能的,如果一个微尘被破坏将可能会破坏整个簇群。这个计划同时也使用了像CodeBlue中使用的微尘轨迹加强的办法。MEDiSN 15 consists of patient monitors, which are custombuilt patient-worn motes, that sample medical data, and relaypoints, that form a static multi-hop wireless backbone for carryingpatient data. Moreover, MEDiSN includes a back-end serverthat persistently stores medical data and presents them to multipleGUI clients. MEDiSNs heterogeneous architecture enables it toaddress the compound challenge of reliably delivering large volumesof data while meeting the applications quality of service(QoS) requirements.MEDiSN由一个病人监控器和继电器节构成,监控器是由病人接触的微尘定制设计的用于收集医药数据,继电器节由一个用于运输病人信息的数据多跳跃主干网构成。还包括一个持久稳固用于储存医药数据并把这些数据显示给多重GUI顾客的后置服务器。MEDiSN建筑可以使他去强调合成的机会来迎合服务的需求。Datas et al. 16 proposed a three-tiered scheme, which usesZig Bee and its security framework. The first level consists of mobiledevices on the body, followed by a local server platform which processesthe raw, vital sign sensor data. In the back-end, a serviceprovider centre was built to review and diagnose the vital sign data.Datas et al.提出了一个三连接的方案,应用了ZigBee和它的安全框架。第一层次包括了主干的移动设施,在处理后的原材料的重要的符号传感器数据的当地服务平台之后进行。在末端,一个服务提供中心建立,它主要用于来检查和诊断重要的符号数据。1.2. Document organization文件组织The contributions of this paper are as follows. First the requirementsfor a comprehensive medical sensor network application areidentified, and a new software architecture to meet these needsis defined. Second, a complete prototype implementation of thearchitecture and a suite of sensors is presented. Third, an approachto achieving efficient secure communication in sensor networks isgiven. Finally, a detailed performance and robustness evaluation ofthe framework for a real sensor network test-bed is presented. Weconclude that the presented framework is a powerful platform forsupporting a wide range of medical sensor applications.这篇论文的主要贡献如下:首先一个综合的医药传感器应用程序的需求要达成一致,新软件的设计与这些需求相适应。第二,一个完整原型的实施和一套传感器的呈现。第三,给出一个在传感器网络中获得有效安全交流的方法,最后,呈现一个真实传感器网络试验床的详尽的执行和坚固的评估。我们总结这个呈现的框架是一个有力的支持一系列医药传感器应用程序的平台。The rest of this paper is organized as follows. Section 2 describesthe SHIMMER platform on which the scheme is implemented andevaluated. Section 3 describes the structure and organization ofthe network. Section 4 presents motivation and background. Section5 details the design implementation. Section 6 presents theJAVA-based graphical user interface (GUI). Section 7 describes theperformance evaluation, and Section 8 outlines future work andConcludes.剩下的论文组织如下:部分2描述了SHIMMER平台,计划的完成和评估都是在这个平台上完成的。部分3描述了该网络的结构和组织。部分4呈现了动机和背景。部分5详细的介绍了设计的实施。部分6呈现了以JAVA为基础的作图应用者的节点。部分7描述了评估的进行。部分8描述了今后工作的轮廓和总结。2. Shimmer platformFor a validation of our framework, the SHIMMER (Sensing Healthwith Intelligence, Modularity, Mobility and Experimental Reusability)platform is used. This platform is an extremely flexible wireless sensor platform.Shimmer平台对于我们的框架生效, SHIMMER平台被应用(智能健康传感、模块性、实验性)这个是十分灵活的无线传

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