Worker-Contributed Data Utility Measurement for Visual Crowdsensing Systems

IEEE Transactions on Mobile Computing

Volumn 16, Issue 8, 2017, Pages 2379-2391

  Guo, Bin ^a   Chen, Huihui ^a   Han, Qi ^b   Yu, Zhiwen ^a   Zhang, Daqing ^c   Wang, Yu ^d  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^b Department of Metallurgical and Materials Engineering   (United States)

^c INSTITUT NATIONAL DES TÉLÉCOMMUNICATIONS   (France)

^d UNIVERSITY OF NORTH CAROLINA AT CHARLOTTE   (United States)

Author keywords

data quality; data selection; mobile applications; Visual crowd sensing

Indexed keywords

DATA REDUCTION; DISTRIBUTED COMPUTER SYSTEMS;

APPLICATION AREA; DATA QUALITY; DATA SELECTION; INCENTIVE MECHANISM; MOBILE APPLICATIONS; MULTI-ATTRIBUTES; STATIONARY OBJECTS; VISUAL CROWD SENSING;

TREES (MATHEMATICS);

EID: 85027413620     PISSN: 15361233     EISSN: None     Source Type: Journal    
DOI: 10.1109/TMC.2016.2620980     Document Type: Article

References (37)

1. B. Guo, et al., "Mobile crowd sensing and computing: The review of an emerging human-powered sensing paradigm, " ACM Comput. Surveys, vol. 48, no. 1, 2015, Art. no. 7.
2. H. Ma, D. Zhao, and P. Yuan, "Opportunities in mobile crowd sensing, " IEEE Commun. Mag., vol. 52, no. 8, pp. 29-35, Aug. 2014.
3. M. Stevens and E. D'Hondt, "Crowdsourcing of pollution data using smartphones, " presented at the Workshop Ubiquitous Crowdsourcing, Copenhagen, Denmark, 2010.
4. X. Bao and R. Roy Choudhury, "MoVi: Mobile phone based video highlights via collaborative sensing, " in Proc. 8th Int. Conf. Mobile Syst. Appl. Serv., 2010, pp. 357-370.
5. P. Zhou, Y. Zheng, and M. Li, "How long to wait?: Predicting bus arrival time with mobile phone based participatory sensing, " in Proc. 10th Int. Conf. Mobile Syst. Appl. Serv., 2012, pp. 379-392.
6. H. Chen, B. Guo, Z. Yu, and Q. Han, "Toward real-time and cooperative mobile visual sensing and sharing, " in Proc. IEEE Conf. Comput. Commun., 2016, pp. 1-9.
7. Z. Yu, H. Xu, Z. Yang, and B. Guo, "Personalized travel package with multi-point-of-interest recommendation based on crowdsourced user footprints, " IEEE Trans. Human-Mach. Syst., vol. 46, no. 1, pp. 151-158, Feb. 2016.
8. D. He, S. Chan, and M. Guizani, "User privacy and data trustworthiness in mobile crowd sensing, " IEEE Wireless Commun., vol. 22, no. 1, pp. 28-34, Feb. 2015.
9. H. Jin, L. Su, D. Chen, K. Nahrstedt, and J. Xu, "Quality of information aware incentive mechanisms for mobile crowd sensing systems, " in Proc. 16th ACM Int. Symp. Mobile Ad Hoc Netw. Comput., 2015, pp. 167-176.
10. I. Arev, H. S. Park, Y. Sheikh, J. Hodgins, and A. Shamir, "Automatic editing of footage from multiple social cameras, " ACM Trans. Graph., vol. 33, no. 4, 2014, Art. no. 81.
11. P. Jain, J. Manweiler, A. Acharya, and K. Beaty, "FOCUS: Clustering crowdsourced videos by line-of-sight, " in Proc. 11th ACM Conf. Embedded Networked Sensor Syst., 2013, Art. no. 8.
12. Y. Chon, N. D. Lane, F. Li, H. Cha, and F. Zhao, "Automatically characterizing places with opportunistic crowdsensing using smartphones, " in Proc. ACM Conf. Ubiquitous Comput., 2012, pp. 481-490.
13. Y. Chon, N. D. Lane, Y. Kim, F. Zhao, and H. Cha, "Understanding the coverage and scalability of place-centric crowdsensing, " in Proc. ACM Int. Joint Conf. Pervasive Ubiquitous Comput., 2013, pp. 3-12.
14. Y. Hua, W. He, X. Liu, and D. Feng, "SmartEye: Real-time and efficient cloud image sharing for disaster environments, " in Proc. IEEE Conf. Comput. Commun., 2015, pp. 1616-1624.
15. B. Guo, H. Chen, Z. Yu, X. Xie, S. Huangfu, and D. Zhang, "FlierMeet: A mobile crowdsensing system for cross-space public information reposting, tagging, and sharing, " IEEE Trans. Mobile Comput., vol. 14, no. 10, pp. 2020-2033, Oct. 2015.
16. K. Tuite, N. Snavely, D.-y. Hsiao, N. Tabing, and Z. Popovic, "PhotoCity: Training experts at large-scale image acquisition through a competitive game, " in Proc. SIGCHI Conf. Human Factors Comput. Syst., 2011, pp. 1383-1392.
17. Y. Wang, W. Hu, Y. Wu, and G. Cao, "SmartPhoto: A resourceaware crowdsourcing approach for image sensing with smartphones, " in Proc. 15th ACM Int. Symp. Mobile Ad Hoc Netw. Comput., 2014, pp. 113-122.
18. Y. Wu, Y. Wang, W. Hu, X. Zhang, and G. Cao, "Resource-aware photo crowdsourcing through disruption tolerant networks, " in Proc. IEEE 36th Int. Conf. Distrib. Comput. Syst., 2016, pp. 374-383.
19. F. Bian, D. Kempe, and R. Govindan, "Utility based sensor selection, " in Proc. 5th Int. Conf. Inf. Process. Sensor Netw., 2006, pp. 11-18.
20. M. Riahi, T. G. Papaioannou, I. Trummer, and K. Aberer, "Utilitydriven data acquisition in participatory sensing, " in Proc. 16th Int. Conf. Extending Database Technol., 2013, pp. 251-262.
21. D. Zhang, H. Xiong, L. Wang, and G. Chen, "CrowdRecruiter: Selecting participants for piggyback crowdsensing under probabilistic coverage constraint, " in Proc. ACM Int. Joint Conf. Pervasive Ubiquitous Comput., 2014, pp. 703-714.
22. L. G. Jaimes, I. Vergara-Laurens, and M. A. Labrador, "A locationbased incentive mechanism for participatory sensing systems with budget constraints, " in Proc. IEEE Int. Conf. Pervasive Comput. Commun., 2012, pp. 103-108.
23. J.-S. Lee and B. Hoh, "Dynamic pricing incentive for participatory sensing, " Pervasive Mobile Comput., vol. 6, no. 6, pp. 693-708, 2010.
24. S. Reddy, D. Estrin, M. Hansen, and M. Srivastava, "Examining micro-payments for participatory sensing data collections, " in Proc. 12th ACM Int. Conf. Ubiquitous Comput., 2010, pp. 33-36.
25. D. Yang, G. Xue, X. Fang, and J. Tang, "Crowdsourcing to smartphones: Incentive mechanism design for mobile phone sensing, " in Proc. 18th Annu. Int. Conf. Mobile Comput. Netw., 2012, pp. 173-184.
26. X. Zhang, Z. Yang, Z. Zhou, H. Cai, L. Chen, and X. Li, "Free market of crowdsourcing: Incentive mechanism design for mobile sensing, " IEEE Trans. Parallel Distrib. Syst., vol. 25, no. 12, pp. 3190-3200, Dec. 2014.
27. J. P. Rula and F. E. Bustamante, "Crowdsensing under (soft) control, " in Proc. IEEE Conf. Comput. Commun., 2015, pp. 2236-2244.
28. Y. Singer and M. Mittal, "Pricing mechanisms for crowdsourcing markets, " in Proc. 22nd Int. Conf. World Wide Web, 2013, pp. 1157-1166.
29. R. Kawajiri, M. Shimosaka, and H. Kashima, "Steered crowdsensing: Incentive design towards quality-oriented place-centric crowdsensing, " in Proc. ACM Int. Joint Conf. Pervasive Ubiquitous Comput., 2014, pp. 691-701.
30. J. Basak and R. Krishnapuram, "Interpretable hierarchical clustering by constructing an unsupervised decision tree, " IEEE Trans. Knowl. Data Eng., vol. 17, no. 1, pp. 121-132, Jan. 2005.
31. H. Chen, B. Guo, Z. Yu, and L. Chen, "CrowdPic: A multi-coverage picture collection framework for mobile crowd photographing, " in Proc. 12th IEEE Int. Conf. Ubiquitous Intell. Comput., 2015, pp. 68-76.
32. Z. Feng, Y. Zhu, Q. Zhang, L. M. Ni, and A. V. Vasilakos, "TRAC: Truthful auction for location-aware collaborative sensing in mobile crowdsourcing, " in Proc. IEEE Conf. Comput. Commun., 2014, pp. 1231-1239.
33. R. Boppana and M. M. Halldorsson, "Approximating maximum independent sets by excluding subgraphs, " BIT Numerical Math., vol. 32, no. 2, pp. 180-196, 1992.
34. D. Comer and R. Sethi, "Complexity of trie index construction, " in Proc. 17th Annu. Symp. Found. Comput. Sci., 1976, pp. 197-207.
35. W. Nan, B. Guo, S. Huangfu, Z. Yu, H. Chen, and X. Zhou, "A cross-space, multi-interaction-based dynamic incentive mechanism for mobile crowd sensing, " in Proc. IEEE Conf. Ubiquitous Intell. Comput., 2014, pp. 179-186.
36. Y. Liu, B. Guo, Y. Wang, W. Wu, Z. Yu, and D. Zhang, "TaskMe: Multi-task allocation in mobile crowd sensing, " in Proc. ACM Int. Joint Conf. Pervasive Ubiquitous Comput., 2016, pp. 403-414.
37. B. Guo, Y. Liu, W. Wu, Z. Yu, and Q. Han, "ActiveCrowd: A framework for optimized multitask allocation in mobile crowdsensing systems, " IEEE Trans. Human-Mach. Syst., to be published. doi: 10. 1109/THMS. 2016. 2599489.