When Compressive Sensing Meets Mobile Crowdsensing Paperback / softback
by Linghe Kong, Bowen Wang, Guihai Chen
Paperback / softback
- Information
Description
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.
Toaddress 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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Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:127 pages, 35 Illustrations, color; 4 Illustrations, black and white; XII, 127 p. 39 illus., 35 illu
- Publisher:Springer Verlag, Singapore
- Publication Date:14/08/2020
- Category:
- ISBN:9789811377785
Other Formats
- EPUB from £76.08
Information
-
Available to Order - This title is available to order, with delivery expected within 2 weeks
- Format:Paperback / softback
- Pages:127 pages, 35 Illustrations, color; 4 Illustrations, black and white; XII, 127 p. 39 illus., 35 illu
- Publisher:Springer Verlag, Singapore
- Publication Date:14/08/2020
- Category:
- ISBN:9789811377785