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Power Management for Wireless Data Transmission Using Complex Event Processing

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6 Author(s)
Yu Xiao ; Aalto University School of Science, Helsinki ; Wei Li ; Matti Siekkinen ; Petri Savolainen
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Energy consumption of wireless data transmission, a significant part of the overall energy consumption on a mobile device, is context-dependent-it depends on both internal and external contexts, such as application workload and wireless signal strength. In this paper, we propose an event-driven framework that can be used for efficient power management on mobile devices. The framework adapts the behavior of a device component or an application to the changes in contexts, defined as events, according to developer-specified event-condition-action (ECA) rules that describe the power management mechanism. In contrast to previous work, our framework supports complex event processing. By correlating events, complex event processing helps to discover complex events that are relevant to power consumption. Using our framework developers can implement and configure power management applications by editing event specifications and ECA rules through XML-based interfaces. We evaluate this framework with two applications in which the data transmission is adapted to traffic patterns and wireless link quality. These applications can save roughly 12 percent more energy compared to normal operation.

Published in:

IEEE Transactions on Computers  (Volume:61 ,  Issue: 12 )