Citation: | JIANG Weijin and LYU Sijian, “Dynamic Multi-Task Allocation Method for Passenger Diffusion in Mobile Crowd Sensing,” Chinese Journal of Electronics, vol. 30, no. 5, pp. 940-946, 2021, doi: 10.1049/cje.2021.07.005 |
L. Wang, D. Zhang, Y. Wang, et al., "Sparse mobile crowdsensing:Challenges and opportunities", IEEE Communications Magazine, Vol.54, No.7, pp.161-167, 2016.
|
W. Liu, Y. Yang, E. Wang, et al., "Multi-dimensional urban sensing in sparse mobile crowdsensing", IEEE Access, Vol.7, pp.82066-82079, 2019.
|
W. Liu, Y. Yang, E. Wang, et al., "User recruitment for enhancing data inference accuracy in sparse mobile crowdsensing", IEEE Internet of Things Journal, Vol.7, No.3, pp.1802-1814, 2019.
|
Z. Liu, S. Jiang, P. Zhou, et al., "A participatory urban traffic monitoring system:The power of bus riders", IEEE Transactions on Intelligent Transportation Systems, Vol.18, No.10, pp.2851-2864, 2017.
|
Zhang F, Wang X, Jiang L, et al., "Energy efficient forwarding algorithm in opportunistic networks", Chinese Journal of Electronics, Vol.25, No.5, pp.957-964, 2016.
|
Y. Wang, H. Li and T. Li, "Participant selection for data collection through device-to-device communications in mobile sensing", Personal and Ubiquitous Computing, Vol.21, No.1, pp.31-41, 2017.
|
Wei LI, Wen-jun WU, Huai-min WANG, et al., "Crowd intelligence in AI 2.0 era", Frontiers of Information Technology & Electronic Engineering, Vol.18, No.1, pp.15-43, 2017.
|
P. Michelucci and J. L. Dickinson, "The power of crowds", Science, Vol.351, No.6268, pp.32-33, 2016.
|
Yunhui LIU, ZHENG F, Ruibin GUO, et al., "Robot Intelligence for real world applications", Chinese Journal of Electronics, Vol.27, No.3, pp.446-458, 2018.
|
M. Hosseini, K. Phalp, J. Taylor, et al., "The four pillars of crowdsourcing:A reference model", in 2014 IEEE Eighth International Conference on Research Challenges in Information Science (RCIS), IEEE, pp.1-12, 2014.
|
X. Jinbo, M. Rong, N. Ben, et al., "Privacy protection incentive mechanism based on user-union matching in mobile crowdsensing", Journal of Computer Research and Development, Vol.55, No.7, DOI:10.7544/issn1000-1239.2018. 20180080, 2018.
|
M. Sozio and A. Gionis, "The community-search problem and how to plan a successful cocktail party", in Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp.939-948, 2010.
|
M. Xu, D. Wang, and J. Li, "DESTPRE:a data-driven approach to destination prediction for taxi rides", in Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp.729-739, 2016.
|
M. Karaliopoulos, O. Telelis, and I. Koutsopoulos, "User recruitment for mobile crowdsensing over opportunistic networks", in 2015 IEEE Conference on Computer Communications (INFOCOM) IEEE, pp.2254-2262, 2015.
|
Z. Li, H. Liu and R. Wang, "Service benefit aware multitask assignment strategy for mobile crowd sensing", Sensors, Vol.19, No.21, DOI:10.3390/s19214666, 2019.
|