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Issue No.02 - April-June (2011 vol.10)
pp: 12-15
<p>Today's mobile phones come with a rich set of built-in sensors such as accelerometers, ambient light sensors, compasses, and pressure sensors, which can measure various phenomena on and around the phone. Gathering user context such as user activity, geographic location, and location type requires continuous sampling of sensor data. However, such sampling shortens a phone's battery life because of the associated energy overhead. This article examines the root causes of this energy overhead and shows that energy-efficient continuous sensing can be achieved through proper system design.</p>
Smartphones, mobile computing, sensors, context-sensitive computing
Bodhi Priyantha, Dimitrios Lymberopoulos, Jie Liu, "LittleRock: Enabling Energy-Efficient Continuous Sensing on Mobile Phones", IEEE Pervasive Computing, vol.10, no. 2, pp. 12-15, April-June 2011, doi:10.1109/MPRV.2011.28
1. R. Want, "Smart Phones—Future Devices, Usages, and Applications," invited talk at the SoC Accelerators Workshop (SAW) at the Int'l Symp. High-Performance Computer Architecture (HPCA 16), 2010.
2. N.B. Priyantha, D. Lymberopoulos, and J. Liu, "EERS: Energy Efficient Responsive Sleeping on Mobile Phones," Proc. Int'l Workshop Sensing for App Phones (PhoneSense), 2010; papersPriyantha-EERS.pdf.
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