Verlag: Springer-Nature New York Inc, 2020
ISBN 10: 9811377782 ISBN 13: 9789811377785
Sprache: Englisch
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 150,33
Anzahl: 2 verfügbar
In den WarenkorbPaperback. Zustand: Brand New. 140 pages. 9.25x6.25x0.25 inches. In Stock.
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 152,32
Anzahl: 2 verfügbar
In den WarenkorbHardcover. Zustand: Brand New. 140 pages. 9.25x6.10x0.39 inches. In Stock.
Verlag: Springer Nature Singapore, 2019
ISBN 10: 9811377758 ISBN 13: 9789811377754
Sprache: Englisch
Anbieter: Buchpark, Trebbin, Deutschland
Zustand: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | 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.