Compressive sensing based data quality improvement for crowd-sensing applications-Reference-Cited by-同舟云学术

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Compressive sensing based data quality improvement for crowd-sensing applications

Published:2017-01 Issue: Volume:77 Page:123-134
ISSN:1084-8045
Container-title:Journal of Network and Computer Applications
language:en
Short-container-title:Journal of Network and Computer Applications

Author:

Cheng Long,Niu Jianwei,Kong Linghe,Luo Chengwen,Gu Yu,He Wenbo,Das Sajal K.

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

CERNET Innovation Project 2015

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Reference54 articles.

1. Ahmadi, Hossein, Pham, Nam, Ganti, Raghu, Abdelzaher, Tarek, Nath, Suman, Han, Jiawei, 2010. Privacy-aware regression modeling of participatory sensing data. In: SenSys'10. pp. 99–112.

2. Ahn, Gahng-Seop, Musolesi, Mirco, Lu, Hong, Olfati-Saber, Reza, Campbell, Andrew T., 2010. Metrotrack: predictive tracking of mobile events using mobile phones. In: DCOSS'10, pp. 230–243, 2010.

3. A reputation framework for social participatory sensing system;Amintoosi;Mob. Netw. Appl.,2013

4. Bahl, P., Padmanabhan, V.N., 2000. RADAR: an in-building rf-based user location and tracking system. In: INFOCOM'00.

5. Boutsis, I., Kalogeraki, V., 2013. Privacy preservation for participatory sensing data. In: PerCom'13. pp. 103–113.

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