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portada When Compressive Sensing Meets Mobile Crowdsensing
Type
Physical Book
Author
Publisher
Language
English
Pages
127
Format
Paperback
Dimensions
23.4 x 15.6 x 0.8 cm
Weight
0.20 kg.
ISBN13
9789811377785
Categories

When Compressive Sensing Meets Mobile Crowdsensing

Linghe Kong (Author) · Guihai Chen (Author) · Bowen Wang (Author) · Springer · Paperback

When Compressive Sensing Meets Mobile Crowdsensing - Kong, Linghe ; Wang, Bowen ; Chen, Guihai

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Synopsis "When Compressive Sensing Meets Mobile Crowdsensing"

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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