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Dynamic Coalitional Matching Game Approach for Fair and Swift Data-Gathering in Wireless Body Sensor Networks

机译:无线体传感器网络公平和迅速数据收集的动态联盟匹配游戏方法

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Wireless Sensor Networks are deployed in different fields of application to gather data on the monitored environment. The Wireless Body Sensor Network (WBSN) is a wireless sensor network designed to monitor a human body vital and environment parameters. The design and development of such WBSN systems for health monitoring have been motivated by costly healthcare and propelled by the development of miniature health monitoring devices. This paper presents the architecture design of a preventive health care monitoring system. This architecture is designed for monitoring multiple patients in a hospital. It is based on a set of mobile data collectors and static sensors for analysis of various patient's parameters. The data collectors need to cooperate together in order to gather the data from the sensor nodes. The point of this paper is how to dynamically and effectively appoint and deploy several data collectors in the hospital to gather the measured data in minimal time. We formulate the problem as a coalitional matching game between patients and data collectors, and we propose a patient-data collector association algorithm that ensures fairness and minimum total course in the stable matchings.
机译:无线传感器网络部署在不同的应用领域中,以收集受监控环境的数据。无线体传感器网络(WBSN)是一种设计用于监测人体至关重要和环境参数的无线传感器网络。这种WBSN系统的健康监测系统的设计和开发已经受到昂贵的医疗保健的动机,并通过微型健康监测设备的开发推动。本文介绍了预防性保健监测系统的建筑设计。该架构专为监测医院的多名患者而设计。它基于一组移动数据收集器和静态传感器,用于分析各种患者参数。数据收集器需要合作,以便从传感器节点收集数据。本文的重点是如何在医院动态和有效地指定和部署几个数据收集器,以便在最少的时间内收集测量的数据。我们将问题作为患者和数据收集者之间的联盟匹配游戏,我们提出了一种患者 - 数据收集器关联算法,可确保稳定匹配中的公平性和最低总课程。

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