Abstract
Estimating the location of users, Unmanned Aerial Vehicles (UAVs), and devices is the key to provide the diverse kinds of services in ubiquitous computing environments. Given that Global Positioning System (GPS) cannot be utilized in indoor environments, beacon-based and vision-based location estimation approaches are utilized. However, the accuracy of the location does not reaches the demanded amount. This paper propose an indoor location estimation method of beacons based on trilateration. By utilizing three APs and three beacons, the location of one of beacons can be predicted accurately. In the experiment, the proposed method was compared with the traditional trilateration method. Comparing to the result of the traditional trilateration method, the proposed method reduced the distance errors to about 20%.
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References
Son, B., Kang, S., Lee, H., Lee, D.: A Real Time Quadrotor Autonomous Navigation and Remote Control Method. IEMEK Journal of Embedded Systems and Applications 8(4), 205–212 (2013)
Moo, S., Ha, S., Eom, W., Kim, Y.: 3D Map Generation System for Indoor Autonomous Navigation. The Korean Society for Aeronatical & Space Sciences 13, 166–173 (2014)
Sung, Y., Kwak, J., Jeong, Y., Park, J.H.: Beacon distance measurement method in indoor ubiquitous computing environment. In: The 4th International Conference on Ubiquitous Computing Application and Wireless Sensor Network, Jeju, Korea, July 8–10, 2015
Lee, H.C., Lee, D.M.: A Study on Localization System using 3D Triangulation Algorithm based on Dynamic Allocation of Beacon Node. The Journal of Korea Information and Communications Society 36(4), 378–385 (2011)
Lee, H.C., Lee, D.M.: The 3-Dimensional Localization System Based on Beacon Expansion and Coordinate-Space Disassembly. The Journal of Korea Information and Communications Society 38B(1), 80–86 (2013)
Liu, H., Darabi, H., Banerjee, P., Liu, J.: Survey of Wireless Indoor Positioning Techniques and Systems. IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews 37(6), 1067–1080 (2007)
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© 2015 Springer Science+Business Media Singapore
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Kwak, J., Jang, H., Sung, Y., Jeong, YS. (2015). Improved Location Estimation Method of Trilateration in Ubiquitous Computing Indoor Environment. In: Park, DS., Chao, HC., Jeong, YS., Park, J. (eds) Advances in Computer Science and Ubiquitous Computing. Lecture Notes in Electrical Engineering, vol 373. Springer, Singapore. https://doi.org/10.1007/978-981-10-0281-6_24
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DOI: https://doi.org/10.1007/978-981-10-0281-6_24
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Publisher Name: Springer, Singapore
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