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作者 Kong, Linghe, author
書名 When compressive sensing meets mobile crowdsensing / by Linghe Kong, Bowen Wang, Guihai Chen
出版項 Singapore : Springer Singapore : Imprint: Springer, 2019
國際標準書號 9789811377761 (electronic bk.)
9789811377754 (paper)
國際標準號碼 10.1007/978-981-13-7776-1 doi
book jacket
說明 1 online resource (xii, 127 pages) : illustrations, digital ; 24 cm
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
附註 Introduction -- Mathematical Theory of Compressive Sensing -- Basic Compressive Sensing for Data Reconstruction -- Bayesian Compressive Sensing for Task Allocation -- Adaptive Compressive Sensing for Incentive Mechanism -- Encoded Compressive Sensing for Privacy Preservation -- Iterative Compressive Sensing for Fault Detection -- Conclusion
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
Host Item Springer eBooks
主題 Sensor networks
Multisensor data fusion
Data mining
Mobile communication systems
Mobile Computing
Computer Communication Networks
Data Structures and Information Theory
Information Systems and Communication Service
Alt Author Wang, Bowen, author
Chen, Guihai, author
SpringerLink (Online service)
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