On sensor selection in mobile devices based on energy, application accuracy, and context metrics
On sensor selection in mobile devices based on energy, application accuracy, and context metrics
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DOI：
10.1109/iccitechnology.2013.6579514
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发表时间：
2013-06
期刊：
影响因子：
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通讯作者：
S. Taleb;Nadine Abbas;Hazem M. Hajj;Z. Dawy
中科院分区：
文献类型：
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作者：
S. Taleb;Nadine Abbas;Hazem M. Hajj;Z. Dawy
连续收集移动的设备上的传感器数据有助于捕获与用户位置、活动和周围环境相关的重要上下文信息。不同的上下文感知应用程序需要此上下文信息。然而，持续捕获这些信息会导致不可接受的能量成本，这会导致非常快地耗尽有限的手机电池。在本文中，我们提出了一个传感器的选择过程，决定使用什么传感器根据能源，准确性和所需的上下文度量。我们提出了一种基于准确性的能量算法，在节省所需的应用精度的同时降低了能耗。我们使用该算法来建立一个传感器选择模型来选择位置传感器。该模型的实验评估显示，在选定的情况下，节能高达80%。
Continuously collecting sensor data on mobile devices helps in capturing important contextual information related to the user location, activity, and surrounding environment. This contextual information is required by different context aware applications. However, continuously capturing this information incurs an unacceptable energy cost that leads to draining the limited phone's battery very quickly. In this paper, we propose a sensor selection procedure which decides what sensors to use according to energy, accuracy, and required context metrics. We present an accuracy-energy based algorithm that reduces energy consumption while conserving the required application accuracy. We use this algorithm to build a sensor selection model to choose among location sensors. Experimental evaluation of this model shows energy savings of up to 80% in selected scenarios.