METIS: Exploring Mobile Phone Sensing Offloading for Efficiently Supporting Social Sensing Applications

Mobile phones play a pivotal role in supporting ubiquitous and unobtrusive sensing of human activities. However, maintaining a highly accurate record of a user's behavior throughout the day imposes significant energy demands on the phone's battery. In this paper, the authors present the design, implementation, and evaluation of METIS: an adaptive mobile sensing platform that efficiently supports social sensing applications. The platform implements a novel sensor task distribution scheme that dynamically decides whether to perform sensing on the phone or in the infrastructure, considering the energy consumption, accuracy, and mobility patterns of the user.

Provided by: University of California, Santa Cruz Topic: Mobility Date Added: Jan 2013 Format: PDF

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