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Continuous Monitoring in the Dynamic Sensor Field Model

机译:动态传感器领域模型中的连续监控

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In this work we consider the problem of continuously monitoring a collection of data sets produced by sensors placed on mobile or static targets. Our computational model, the dynamic sensor field model, is an extension of the static sensor field model [3] allowing computation in the presence of mobility. The dynamicity comes from both the mobile communication devices and the data sensors. The mobility of devices is modeled by a dynamic communication graph depending on the position of the devices. Data mobility is due to measurements performed by sensing units that are not placed on fixed positions but attached to mobile agents or targets. Accordingly, we introduce two additional performance measures: the total traveled distance in a computational step and the gathering period. We study the Continuous Monitoring problem providing bounds on performance for several protocols that differ in the use of mobility and the placement of the devices. Our objective is to analyze formally the computational resources needed to solve the Continuous Monitoring in a dynamic context. For doing so, we consider a particular scenario in which communication devices and data sensors move on top of a squared terrain discretized by a mobility grid. We also consider two scenarios, the static data setting in which sensors are placed at fixed but unknown positions and the dynamic data setting in which sensors are placed on dynamic targets and follow a passive mobility pattern.
机译:在这项工作中,我们考虑了连续监控放置在移动或静态目标上的传感器产生的数据集的问题。我们的计算模型,即动态传感器场模型,是对静态传感器场模型[3]的扩展,允许在存在移动性的情况下进行计算。动态性来自移动通信设备和数据传感器。根据设备的位置,通过动态通信图对设备的移动性进行建模。数据移动性归因于传感单元执行的测量,这些传感单元未放置在固定位置上,而是连接到移动代理或目标上。因此,我们引入了两个附加的性能指标:计算步骤中的总行驶距离和收集时间。我们研究了持续监控问题,该问题为几种协议的性能提供了界限,这些协议在移动性的使用和设备的放置方面有所不同。我们的目标是形式化分析动态环境下解决连续监视所需的计算资源。为此,我们考虑一种特殊的情况,其中通信设备和数据传感器在由移动性网格离散的平方地形上移动。我们还考虑了两种情况:将传感器放置在固定但未知的位置的静态数据设置,以及将传感器放置在动态目标上并遵循被动移动性模式的动态数据设置。

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