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Energy-Aware Topology Control Strategy for Human-Centric Wireless Sensor Networks

机译:以人为中心的无线传感器网络的能量感知拓扑控制策略

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The adoption of mobile and ubiquitous solutions that involve participatory or opportunistic sensing increases every day. This situation has highlighted the relevance of optimizing the energy consumption of these solutions, because their operation depends on the devices' battery lifetimes. This article presents a study that intends to understand how the prediction of topology control messages in human-centric wireless sensor networks can be used to help reduce the energy consumption of the participating devices. In order to do that, five research questions have been defined and a study based on simulations was conducted to answer these questions. The obtained results help identify suitable mobile computing scenarios where the prediction of topology control messages can be used to save energy of the network nodes. These results also allow estimating the percentage of energy saving that can be expected, according to the features of the work scenario and the participants behavior. Designers of mobile collaborative applications that involve participatory or opportunistic sensing, can take advantage of these findings to increase the autonomy of their solutions.
机译:涉及参与式或机会主义传感的移动和无处不在解决方案的采用每天都在增加。这种情况突显了优化这些解决方案能耗的重要性,因为它们的运行取决于设备的电池寿命。本文提出了一项研究,旨在了解如何以人为中心的无线传感器网络中的拓扑控制消息的预测可用于帮助减少参与设备的能耗。为此,已经定义了五个研究问题,并基于模拟进行了研究以回答这些问题。获得的结果有助于确定合适的移动计算方案,其中拓扑控制消息的预测可用于节省网络节点的能量。这些结果还允许根据工作方案的特征和参与者的行为来估计可以预期的节能百分比。涉及参与式或机会式感知的移动协作应用程序的设计人员可以利用这些发现来增加解决方案的自主性。

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