When Compressive Sensing Meets Mobile Crowdsensing

When Compressive Sensing Meets Mobile Crowdsensing
Author :
Publisher : Springer
Total Pages : 134
Release :
ISBN-10 : 9789811377761
ISBN-13 : 9811377766
Rating : 4/5 (61 Downloads)

Book Synopsis When Compressive Sensing Meets Mobile Crowdsensing by : Linghe Kong

Download or read book When Compressive Sensing Meets Mobile Crowdsensing written by Linghe Kong and published by Springer. This book was released on 2019-06-08 with total page 134 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.


When Compressive Sensing Meets Mobile Crowdsensing Related Books

When Compressive Sensing Meets Mobile Crowdsensing
Language: en
Pages: 134
Authors: Linghe Kong
Categories: Computers
Type: BOOK - Published: 2019-06-08 - Publisher: Springer

DOWNLOAD EBOOK

This book provides a comprehensive introduction to applying compressive sensing to improve data quality in the context of mobile crowdsensing. It addresses the
Mobile Crowdsensing
Language: en
Pages: 184
Authors: Cristian Borcea
Categories: Computers
Type: BOOK - Published: 2016-12-01 - Publisher: CRC Press

DOWNLOAD EBOOK

Mobile crowdsensing is a technology that allows large scale, cost-effective sensing of the physical world. In mobile crowdsensing, mobile personal devices such
Social Sensing
Language: en
Pages: 232
Authors: Dong Wang
Categories: Computers
Type: BOOK - Published: 2015-04-17 - Publisher: Morgan Kaufmann

DOWNLOAD EBOOK

Increasingly, human beings are sensors engaging directly with the mobile Internet. Individuals can now share real-time experiences at an unprecedented scale. So
Multi-dimensional Urban Sensing Using Crowdsensing Data
Language: en
Pages: 204
Authors: Chaocan Xiang
Categories: Computers
Type: BOOK - Published: 2023-03-23 - Publisher: Springer Nature

DOWNLOAD EBOOK

Chaocan Xiang is an Associate Professor at the College of Computer Science, Chongqing University, China. He received his bachelor’s degree and Ph.D. from Nanj
Network Simulation and Evaluation
Language: en
Pages: 412
Authors: Zhaoquan Gu
Categories:
Type: BOOK - Published: - Publisher: Springer Nature

DOWNLOAD EBOOK