Service node selection optimization for mobile crowd sensing in a road network environment

Vehicular Communications ◽

10.1016/j.vehcom.2019.100203 ◽

2020 ◽

Vol 22 ◽

pp. 100203

Author(s):

Haiyang Yu ◽

Chenyang Liu ◽

Yilong Ren ◽

Nan Ji ◽

Can Yang

Keyword(s):

Road Network ◽

Network Environment ◽

Mobile Crowd Sensing ◽

Node Selection ◽

Crowd Sensing ◽

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Multi-objective Optimization Model for Service Node Selection Based on Trade-off between Quality of Service and Resource Consumption in Mobile Crowd Sensing

IEEE Internet of Things Journal ◽

10.1109/jiot.2017.2647740 ◽

2017 ◽

pp. 1-1 ◽

Author(s):

Shuang Ding ◽

Xin He ◽

Jicheng Wang

Keyword(s):

Quality Of Service ◽

Optimization Model ◽

Multi Objective Optimization ◽

Mobile Crowd Sensing ◽

Node Selection ◽

Trade Off ◽

Multi Objective ◽

Crowd Sensing ◽

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A node optimization model based on the spatiotemporal characteristics of the road network for urban traffic mobile crowd sensing

Vehicular Communications ◽

10.1016/j.vehcom.2021.100383 ◽

2021 ◽

pp. 100383

Author(s):

Haiyang Yu ◽

Jing Fang ◽

Shuai Liu ◽

Yilong Ren ◽

Jian Lu

Keyword(s):

Optimization Model ◽

Road Network ◽

Urban Traffic ◽

Mobile Crowd Sensing ◽

The Road ◽

Model Based ◽

Spatiotemporal Characteristics ◽

Crowd Sensing ◽

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P-SUS: Parallel Execution of Sensing Unit Selection for Mobile Crowd Sensing in an Urban Road Network

10.1109/dtpi52967.2021.9540076 ◽

2021 ◽

Author(s):

Jingjing Zhang ◽

Haoyang Zhang ◽

Haiyang Yu ◽

Yilong Ren ◽

Han Jiang

Keyword(s):

Road Network ◽

Parallel Execution ◽

Mobile Crowd Sensing ◽

Urban Road Network ◽

Unit Selection ◽

Crowd Sensing ◽

Selection For ◽

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Privacy, trust, and secure rewarding in mobile crowd-sensing based spectrum monitoring

Journal of Ambient Intelligence and Humanized Computing ◽

10.1007/s12652-021-03318-2 ◽

2021 ◽

Author(s):

Golbarg Hajian ◽

Behrouz Shahgholi Ghahfarokhi ◽

Mehri Asadi Vasfi ◽

Behrouz Tork Ladani

Keyword(s):

Mobile Crowd Sensing ◽

Spectrum Monitoring ◽

Crowd Sensing ◽

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Time-constrained Task Allocation and Worker Routing in Mobile Crowd-Sensing using a Decomposition Technique and Deep Q-learning

IEEE Access ◽

10.1109/access.2021.3094528 ◽

2021 ◽

pp. 1-1

Author(s):

Shathee Akter ◽

Thi-Nga Dao ◽

Seokhoon Yoon

Keyword(s):

Task Allocation ◽

Decomposition Technique ◽

Mobile Crowd Sensing ◽

Crowd Sensing ◽

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Location-aware Task Assignment and Routing in Mobile Crowd Sensing

2020 International Conference on Information and Communication Technology Convergence (ICTC) ◽

10.1109/ictc49870.2020.9289316 ◽

2020 ◽

Author(s):

Shathee Akter ◽

Seokhoon Yoon

Keyword(s):

Task Assignment ◽

Mobile Crowd Sensing ◽

Crowd Sensing ◽

Location Aware ◽

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Scale to measure usability in Mobile Crowd Sensing (MCS) applications

Journal of Statistics and Management Systems ◽

10.1080/09720510.2021.1878631 ◽

2021 ◽

pp. 1-20

Author(s):

Rafael Tezza ◽

Guilherme Lima Vargas

Keyword(s):

Mobile Crowd Sensing ◽

Crowd Sensing ◽

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ULPT: A User-Centric Location Privacy Trading Framework for Mobile Crowd Sensing

IEEE Transactions on Mobile Computing ◽

10.1109/tmc.2021.3058181 ◽

2021 ◽

pp. 1-1

Author(s):

Wenqiang Jin ◽

Mingyan Xiao ◽

Linke Guo ◽

Lei Yang ◽

Ming Li

Keyword(s):

Location Privacy ◽

Mobile Crowd Sensing ◽

Crowd Sensing ◽

User Centric ◽

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When Mobile Crowd Sensing Meets Traditional Industry

IEEE Access ◽

10.1109/access.2017.2657820 ◽

2017 ◽

Vol 5 ◽

pp. 15300-15307 ◽

Author(s):

Lei Shu ◽

Yuanfang Chen ◽

Zhiqiang Huo ◽

Neil Bergmann ◽

Lei Wang

Keyword(s):

Mobile Crowd Sensing ◽

Crowd Sensing ◽

Traditional Industry ◽

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Mobile Crowd Sensing-based noise monitoring as a way to improve learning quality on acoustics

2015 International Conference on Interactive Mobile Communication Technologies and Learning (IMCL) ◽

10.1109/imctl.2015.7359563 ◽

2015 ◽

Author(s):

Marco Zappatore ◽

Antonella Longo ◽

Mario A. Bochicchio ◽

Daniele Zappatore ◽

Alessandro A. Morrone ◽

...

Keyword(s):

Mobile Crowd Sensing ◽

Crowd Sensing ◽

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