Smartphones and a growing number of wearable devices are equipped with powerful sensors. This has led to increased interest in developing applications using sensor feeds from such devices to offer services across a wide variety of domains including healthcare, entertainment, environmental monitoring and transportation. However, most of these applications require continuous sensing, which places a heavy demand on the typically limited battery power of devices. This paper presents ShareSens, our approach to opportunistically merge sensing requirements of independent applications. We achieve this using sensing schedulers for sensors, which determine the lowest sensing rate which would satisfy all requests, and then use custom filters to send out only the required data to each application. Applications can request fixed sampling rates or ranges of rates, creating the opportunity for sending them higher rates than minimally required—“for free.” Sensing requests made through our ShareSens API are forwarded to the relevant schedulers, which determine the optimum sensing rates to satisfy all requests, and set up filters to deliver required feeds to the applications. The design and implementation of ShareSens is presented, along with results from our experimental work on the power savings that can be achieved by using it.

中文翻译：

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用于能源和电力保护的连续移动传感数据的机会共享

智能手机和越来越多的可穿戴设备配备了强大的传感器。这导致人们对使用来自此类设备的传感器馈送开发应用程序的兴趣增加，以提供跨越广泛领域的服务，包括医疗保健、娱乐、环境监测和运输。然而，这些应用中的大多数都需要连续传感，这对设备通常有限的电池电量提出了很高的要求。本文介绍了 ShareSens，这是我们机会性地合并独立应用程序的传感要求的方法。我们使用传感器的传感调度程序来实现这一点，它确定满足所有请求的最低传感速率，然后使用自定义过滤器仅向每个应用程序发送所需的数据。应用程序可以请求固定采样率或采样率范围，从而创造机会向它们发送高于最低要求的采样率——“免费”。通过我们的 ShareSens API 发出的传感请求被转发到相关的调度程序，这些调度程序确定满足所有请求的最佳传感速率，并设置过滤器以向应用程序提供所需的提要。介绍了 ShareSens 的设计和实现，以及我们关于使用它可以实现的节能的实验工作的结果。