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A predictive QoS control strategy for wireless sensor networks

机译:无线传感器网络的预测QoS控制策略

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The number of active sensors in a wireless sensor network has been proposed as a measure, albeit limited, for quality of service (QoS) for it dictates the spatial resolution of the sensed parameters. In very large sensor network applications, the number of sensor nodes deployed may exceed the number required to provide the desired resolution. Herein we propose a method, dubbed predictive QoS control (PQC), to manage the number of active sensors in such an over-deployed network. The strategy is shown to obtain near lifetime and variance performance in comparison to a Bernoulli benchmark, with the added benefit of not requiring the network to know the total number of sensors available. This benefit is especially relevant in networks where sensors are prone to failure due to not only energy exhaustion but also environmental factors and/or those networks where nodes are replenished over time. The method also has advantages in that only transmitting sensors need to listen for QoS control information and thus enabling inactive sensors to operate at extremely low power levels.
机译:已经提出了无线传感器网络中的有源传感器的数量作为一种量度,虽然有限,但是对于服务质量(QoS)决定了感测参数的空间分辨率。在非常大的传感器网络应用中,部署的传感器节点的数量可能超过提供所需分辨率所需的数量。这里,我们提出了一种方法,被称为预测QoS控制(PQC),以管理这种过部署的网络中的有源传感器的数量。与Bernoulli基准测试相比,该策略可获得附近的寿命和方差性能,额外的好处不需要网络了解可用的传感器总数。这种福利在网络中尤其相关,其中传感器由于不仅是能量耗尽而易于发生故障,而且还有环境因素和/或节点随时间补充的网络。该方法还具有优点,因为只有发送传感器需要收听QoS控制信息,从而使得能够以极低功率电平运行的非活动传感器。

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