Misra, Prasant and Kanhere, Salil S and Jha, Sanjay and Hu, Wen (2015) Sparse Representation Based Acoustic Rangefinders: From Sensor Platforms to Mobile Devices. In: IEEE COMMUNICATIONS MAGAZINE, 53 (1). pp. 249-257.
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Abstract
Acoustic rangerfinders are a promising technology for accurate proximity detection, a critical requirement for many emerging mobile computing applications. While state-of-the-art systems deliver robust ranging performance, the computational intensiveness of their detection mechanism expedites the energy depletion of the associated devices that are typically powered by batteries. The contribution of this article is fourfold. First, it outlines the common factors that are important for ranging. Second, it presents a review of acoustic rangers and identifies their potential problems. Third, it explores the design of an information processing framework based on sparse representation that could potentially address existing challenges, especially for mobile devices. Finally, it presents mu-BeepBeep: a low energy acoustic ranging service for mobile devices, and empirically evaluates its benefits.
Item Type: | Journal Article |
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Publication: | IEEE COMMUNICATIONS MAGAZINE |
Publisher: | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
Additional Information: | Copy right for this article belongs to the IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA |
Department/Centre: | Division of Interdisciplinary Sciences > Supercomputer Education & Research Centre |
Date Deposited: | 04 Mar 2015 12:11 |
Last Modified: | 04 Mar 2015 12:11 |
URI: | http://eprints.iisc.ac.in/id/eprint/50955 |
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