References
- Y.J. Lim et al., "A Land Data Assimilation System Using the MODIS-Derived Land Data and its Application to Numerical Weather Prediction in East Asia," Asia-Pacific J. Atmospheric Sci., vol. 48, no. 1, Feb. 2012, pp. 83-95. https://doi.org/10.1007/s13143-012-0008-4
- J.H. Kang et al., "Development of Updateable Model Output Statistics (UMOS) System for Air Temperature over South Korea," Asia-Pacific J. Atmospheric Sci., vol. 47, no. 2, Feb. 2011, pp. 199-211. https://doi.org/10.1007/s13143-011-0009-8
- P. Dutta et al., "Common Sense: Participatory Urban Sensing Using a Network of Handheld Air Quality Monitors," Proc. ACM Conf. Embeded Netw. Sensor Syst., Berkeley, CA, USA, Nov. 4-6, 2009, pp. 349-350.
- M. Demirbas et al., "Crowd-Sourced Sensing and Collaboration Using Twitter," Proc. Int. Syst. World Wireless Mobile Multimedia Netw., Montreal, Canada, June 14-17, 2010, pp. 1-9.
- N.D. Lane et al., "A Survey of Mobile Phone Sensing," IEEE Commun. Mag., vol. 48, no. 9, Sept. 2010, pp. 140-150.
- R.K. Ganti et al., "Mobile Crowdsensing: Current State and Future Challenges," IEEE Commun. Mag., vol. 49, no. 11, Nov. 2011, pp. 32-39. https://doi.org/10.1109/MCOM.2011.6069707
- S. Kim et al., "Creek Watch: Pairing Usefulness and Usability for Successful Citizen Science," Proc. SIGCHI Conf. Human Factors Comput. Syst., Vancouver, Canada, May 7-12, 2011, pp. 2125-2134.
- W. Sherchan et al., "Using On-the-Move Mining for Mobile Crowdsensing," IEEE Int. Conf. Mobile, Bengaluru, India, July 23-26, 2012, pp. 115-124.
- H. Ma, D. Zhao, and D. Yuan, "Opportunities in Mobile Crowd Sensing," IEEE Commun. Mag., vol. 52, no. 8, Aug. 2014, pp. 29-35. https://doi.org/10.1109/MCOM.2014.6871666
- G. Cardone et al., "The ParticipAct Mobile Crowd Sensing Living Lab: the Testbed for Smart Cities," IEEE Commun. Mag., vol. 52, no. 10, Oct. 2014, pp. 78-85. https://doi.org/10.1109/MCOM.2014.6917406
- V. Pankratius et al., "Mobile Crowd Sensing in Space Weather Monitoring: the Mahali Project," IEEE Commun. Mag., vol. 52, no. 8, Aug. 2012, pp. 22-28. https://doi.org/10.1109/MCOM.2014.6871665
- B.T. Lee, S.C. Son, and K. Kang, "A Blind Calibration Model Exploiting Mutual Calibration Relationships for a Dense Mobile Sensor Network," IEEE Sensors J., vol. 14, no. 4, Jan. 2014, pp. 1518-1526. https://doi.org/10.1109/JSEN.2013.2297714
- V. Bychkovskiy et al., "A Collaborative Approach to In-place Sensor Calibration," Int. Workshop, IPSN, Palo Alto, CA, USA, Apr. 22-23, 2003, pp. 301-316.
- L. Balzano and R. Nowak, "Blind Calibration of Sensor Networks," Int. Symp. Inf. Process. Sensor Netw., Cambridge, MA, USA, Apr. 25-27, 2007, pp. 79-88.
- C. Wang, P. Ramanathan, and K.K. Saluja, "Moments Based Blind Calibration in Mobile Sensor Networks," IEEE Int. Conf. Commun., Beijing, China, May 19-23, 2008, pp. 896-900.
- C. Wang, P. Ramanathan, and K.K. Saluja, "Blindly Calibrating Mobile Sensors Using Piecewise Linear Functions," Ann. IEEE Commun. Society Conf. Sensor, Mesh Ad Hoc Commun. Netw., Rome, Italy, June 22-26, 2009, pp. 1-9.
- M. Takruri, S. Challa, and R. Yunis, "Data Fusion Techniques for Auto Calibration in Wireless Sensor Networks," Int. Conf. Inf. Fusion, Seattle, WA, USA, July 6-9, 2009, pp. 132-139.
- E. Miluzzo et al., "CaliBree: Self-Calibration System for Mobile Sensor Networks," IEEE Int. Conf. Fusion, Santorini Island, Greece, June 11-14, 2008, pp. 314-331.
- R. Tan et al., "System-Level Calibration for Data Fusion in Wireless Sensor Networks," ACM Trans. Sensor Netw., vol. 9, no. 3, May 2013, pp. 28:1-28:27.
- S.-K. Ko et al., "Quasi Fair Forwarding Strategy for Delay Tolerant Network," IEICE Trans. Commun., vol. E95-B, no. 11, Nov. 2012, pp. 3585-3589. https://doi.org/10.1587/transcom.E95.B.3585
- K. Ni et al., "Sensor Network Data Fault Types," ACM Trans. Sensor Netw., vol. 5, no. 3, May 2009, pp. 25:1-25:29.
- D. Shepard, "A Two-Dimensional Interpolation Function for Irregularly-Spaced Data," Proc. ACM National Conf., Las Vegas, NV, USA, Aug. 27-29, 1968, pp. 517-524.