ABSTRACT
We introduce CoSense, a collaborative sensing platform for mobile devices that opportunistically distributes sensing tasks between familiar devices in close proximity. We use empirical energy measurements together with data collected from everyday transportation behaviour to demonstrate that our solution can significantly reduce power consumption while maintaining the best possible sensing accuracy.
- E. Miluzzo, et al., Darwin Phones: The Evolution of Sensing and Inference on Mobile Phones. In Proceedings of MobiSys 2010, ACM. Google ScholarDigital Library
- L. Ravindranath, et al., Code in the Air: Simplifying Sensing and Coordination Tasks on Smartphones. In Proceedings of HotMobile 2012, ACM. Google ScholarDigital Library
- S. Reddy, et al., Using Mobile Phones to Determine Transportation Modes. ACM Transactions on Sensor Networks, 6(2):13:1--13:27, 2010. Google ScholarDigital Library
- J. Su, et al., Haggle: Seamless Networking for Mobile Applications. In Proceedings of UbiComp 2007, ACM. Google ScholarDigital Library
- N. Vallina-Rodriguez and J. Crowcroft. ErdOS: Achieving Energy Savings in Mobile OS. In Proceedings of MobiArch 2011, ACM. Google ScholarDigital Library
Index Terms
- CoSense: a collaborative sensing platform for mobile devices
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