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Books > Computing & IT > Computer communications & networking
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When Compressive Sensing Meets Mobile Crowdsensing (Hardcover, 1st ed. 2019)
Loot Price: R2,947
Discovery Miles 29 470
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When Compressive Sensing Meets Mobile Crowdsensing (Hardcover, 1st ed. 2019)
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This book provides a comprehensive introduction to applying
compressive sensing to improve data quality in the context of
mobile crowdsensing. It addresses the following main topics:
recovering missing data, efficiently collecting data, preserving
user privacy, and detecting false data. Mobile crowdsensing, as an
emerging sensing paradigm, enables the masses to take part in data
collection tasks with the aid of powerful mobile devices. However,
mobile crowdsensing platforms have yet to be widely adopted in
practice, the major concern being the quality of the data
collected. There are numerous causes: some locations may generate
redundant data, while others may not be covered at all, since the
participants are rarely systematically coordinated; privacy is a
concern for some people, who don't wish to share their real-time
locations, and therefore some key information may be missing;
further, some participants may upload fake data in order to
fraudulently gain rewards. To address these problematic aspects,
compressive sensing, which works by accurately recovering a sparse
signal using very few samples, has proven to offer an effective
solution.
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