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Fast participant recruitment algorithm for large-scale Vehicle-based Mobile Crowd Sensing

  • Published:2017-07 Issue: Volume:38 Page:188-199
  • ISSN:1574-1192
  • Container-title:Pervasive and Mobile Computing
  • language:en
  • Short-container-title:Pervasive and Mobile Computing

Author:

Yi Kefu,Du Ronghua,Liu Li,Chen Qingying,Gao Kai

Funder

National Natural Science Foundation of China

Scientific Research Fund of Hunan Provincial Education Department

Publisher

Elsevier BV

Subject

Software,Computer Science Applications,Hardware and Architecture,Computer Networks and Communications,Information Systems

Reference26 articles.

1. Mobile crowdsensing: current state and future challenges;Ganti;IEEE Commun. Mag.,2011

2. Heterogeneous participant recruitment for comprehensive vehicle sensing;Liu;PLoS One,2015

3. Smartroad: Smartphone-based crowd sensing for traffic regulator detection and identification;Hu;ACM Trans. Sens. Netw. (TOSN),2015

4. Participatory sensing based traffic condition monitoring using horn detection;Banerjee,2013

5. Real-time air quality monitoring through mobile sensing in metropolitan areas;Devarakonda,2013

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3. QACM: Quality Aware Crowd Sensing in Mobile Computing;Applied System Innovation;2023-03-08

4. ACP-Based Modeling of the Parallel Vehicular Crowd Sensing System: Framework, Components and an Application Example;IEEE Transactions on Intelligent Vehicles;2023-02

5. BETA: From Behavior Sequentializing to Task Mapping in Mobile Crowdsensing;IEEE Internet of Things Journal;2022-10-01
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