An adaptive and compressive data gathering scheme in vehicular sensor networks

Proceedings of the International Conference on Parallel and Distributed Systems - ICPADS

Volumn 2016-January, Issue , 2016, Pages 207-215

  Yuan, Quan ^a   Liu, Zhihan ^a   Li, Jinglin ^a   Yang, Shu ^a   Yang, Fangchun ^a  

^a BEIJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS   (China)

Author keywords

Matrix completion; Sensing efficiency; Sensing quality; Urban sensing; VSN

Indexed keywords

AIR QUALITY; EFFICIENCY; MATRIX ALGEBRA; PROBES; SENSOR NETWORKS; TAXICABS;

FEEDBACK MECHANISMS; MATRIX COMPLETION; SENSING EFFICIENCY; SENSING PERFORMANCE; SENSING QUALITIES; SPATIOTEMPORAL CORRELATION; URBAN SENSING; VEHICULAR SENSOR NETWORK;

DATA COMPRESSION;

EID: 84964664669     PISSN: 15219097     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPADS.2015.34     Document Type: Conference Paper

References (25)

1. L. Liu, W. Wei, D. Zhao, and H. Ma, "Urban Resolution: New Metric for Measuring the Quality of Urban Sensing, " Mobile Computing, IEEE Transactions on, vol. PP, pp. 1-1, 2015.
2. U. Lee and M. Gerla, "A survey of urban vehicular sensing platforms, " Computer Networks, vol. 54, pp. 527-544, 2010.
3. R. Crepaldi, M. Bakht, T. Abdelzaher, and R. Kravets, "Demo: Illinois vehicular project, live data sampling and energy-efficient node discovery, " in Proceedings of the 9th international conference on Mobile systems, applications, and services, Bethesda, Maryland, USA, 2011, pp. 389.
4. R. Stanica, M. Fiore, and F. Malandrino, "Offloading Floating Car Data, " in World of Wireless, Mobile and Multimedia Networks (WoWMoM), 2013 IEEE 14th International Symposium and Workshops on a, 2013, pp. 1-9.
5. G. S. Tuncay, G. Benincasa, and A. Helmy, "Autonomous and distributed recruitment and data collection framework for opportunistic sensing, " in Proceedings of the 18th annual international conference on Mobile computing and networking, Istanbul, Turkey, 2012, pp. 407-410.
6. Z. Song, C. H. Liu, J. Wu, J. Ma, and W. Wang, "QoI-Aware Multitask-Oriented Dynamic Participant Selection With Budget Constraints, " Vehicular Technology, IEEE Transactions on, vol. 63, pp. 4618-4632, 2014.
7. L. Li, Y. Li, and Z. Li, "Efficient missing data imputing for traffic flow by considering temporal and spatial dependence, " Transportation Research Part C: Emerging Technologies, vol. 34, pp. 108-120, 2013.
8. Y. Zhu, Z. Li, H. Zhu, M. Li, and Q. Zhang, "A Compressive Sensing Approach to Urban Traffic Estimation with Probe Vehicles, " Mobile Computing, IEEE Transactions on, vol. 12, pp. 2289-2302, 2013.
9. R. Du, C. Chen, B. Yang, N. Lu, X. Guan, and X. Shen, "Effective Urban Traffic Monitoring by Vehicular Sensor Networks, " Vehicular Technology, IEEE Transactions on, vol. 64, pp. 273-286, 2015.
10. H. Tan, G. Feng, J. Feng, W. Wang, Y.-J. Zhang, and F. Li, "A tensor-based method for missing traffic data completion, " Transportation Research Part C: Emerging Technologies, vol. 28, pp. 15-27, 2013.
11. D. Mendez, M. Labrador, and K. Ramachandran, "Data interpolation for participatory sensing systems, " Pervasive and Mobile Computing, vol. 9, pp. 132-148, 2013.
12. E. Candès and B. Recht, "Exact Matrix Completion via Convex Optimization, " Foundations of Computational Mathematics, vol. 9, pp. 717-772, 2009.
13. B. J. Frey and D. Dueck, "Clustering by Passing Messages Between Data Points, " Science, vol. 315, pp. 972-976, 2007.
14. A. Asahara, K. Maruyama, A. Sato, and K. Seto, "Pedestrian-movement prediction based on mixed Markov-chain model, " in Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, Chicago, Illinois, 2011, pp. 25-33.
15. N. Schneider and D. Gavrila, "Pedestrian Path Prediction with Recursive Bayesian Filters: A Comparative Study, " Pattern Recognition, vol. 8142, Springer Berlin Heidelberg, pp. 174-183, 2013.
16. Y. Zheng, F. Liu, and H.-P. Hsieh, "U-Air: when urban air quality inference meets big data, " in Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, Chicago, Illinois, USA, 2013, pp. 1436-1444.
17. M. Corporation. (2015). UrbanAir. Available: http: //urbanair. msra. cn/
18. D. Shepard, "A two-dimensional interpolation function for irregularly-spaced data, " in Proceedings of the 1968 23rd ACM national conference, 1968, pp. 517-524.
19. J.-F. Cai, E. J. Candès, and Z. Shen, "A Singular Value Thresholding Algorithm for Matrix Completion, " SIAM Journal on Optimization, vol. 20, pp. 1956-1982, 2010.
20. B. Hull, V. Bychkovsky, Y. Zhang, K. Chen, M. Goraczko, A. Miu, et al., "CarTel: a distributed mobile sensor computing system, " in Proceedings of the 4th international conference on Embedded networked sensor systems, Boulder, Colorado, USA, 2006, pp. 125-138.
21. U. Lee, B. Zhou, M. Gerla, E. Magistretti, P. Bellavista, and A. Corradi, "Mobeyes: smart mobs for urban monitoring with a vehicular sensor network, " Wireless Communications, IEEE, vol. 13, pp. 52-57, 2006.
22. J. H. Ahnn and M. Potkonjak, "VeSense: High-performance and energy-efficient vehicular sensing platform, " Pervasive and Mobile Computing, vol. 12, pp. 112-122, 2014.
23. H. Wang, Y. Zhu, and Q. Zhang, "Compressive sensing based monitoring with vehicular networks, " in INFOCOM, 2013 Proceedings IEEE, 2013, pp. 2823-2831.
24. K. Xie, L. Wang, X. Wang, J. Wen, and G. Xie, "Learning from the Past: Intelligent On-Line Weather Monitoring Based on Matrix Completion, " in Distributed Computing Systems (ICDCS), 2014 IEEE 34th International Conference on, 2014, pp. 176-185.
25. Z. Song, E. Ngai, J. Ma, X. Gong, Y. Liu, and W. Wang, "Incentive mechanism for participatory sensing under budget constraints, " in Wireless Communications and Networking Conference (WCNC), 2014 IEEE, 2014, pp. 3361-3366.