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JRM Vol.23 No.4 pp. 466-474
doi: 10.20965/jrm.2011.p0466
(2011)

Paper:

Range Estimation Technique Using Received Signal Strength Indication on Low Frequency Waves

Kenichi Ohara*, Yuji Abe*, Tomohito Takubo*,
Yasushi Mae*, Tamio Tanikawa**, and Tatsuo Arai*

*Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama, Toyonaka, Osaka 560-8531, Japan

**National Institute of Advanced Industrial Science and Technology (AIST), 1-1-1 Umezono, Tsukuba, Ibaraki 305-8568, Japan

Received:
December 22, 2010
Accepted:
April 27, 2011
Published:
August 20, 2011
Keywords:
sensor network, RSSI, range estimation
Abstract

Recently, with the downsizing of computers and the development of wireless communication advances, sensor networks are being widely studied. However, it is necessary to know the location of each node, in order to apply sensor data. Many researchers have tried to find a good approach to position estimation in indoor environment. In our study, we focus on position estimation by using Received Signal Strength Indication (RSSI). It has the advantage of implementation with limited resources in the sensor network. However, since RSSI value is affected by multipath and obstacles, position estimation may yield considerable errors. In our research, we propose a range estimation technique with RSSI on Low Frequency (LF) waves. Since RSSI value on LF waves is less affected by multipath and obstacles compared with RSSI on Ultra High Frequency (UHF) waves used for a communication, position estimation with high accuracy can be calculated using this method. We show an RSSI measurement sensor which measures the RSSI on LF waves and a transmitter which sends radio waves on the 125 kHz band. Results of experiments using our developed modules and a ZigBee module demonstrated the robustness of RSSI on LF waves against multipath and obstacles compared with UHF waves. In this paper, a range estimation experiment was performed by applying the proposed modules and range estimation accuracy was evaluated through experiments.

Cite this article as:
Kenichi Ohara, Yuji Abe, Tomohito Takubo,
Yasushi Mae, Tamio Tanikawa, and Tatsuo Arai, “Range Estimation Technique Using Received Signal Strength Indication on Low Frequency Waves,” J. Robot. Mechatron., Vol.23, No.4, pp. 466-474, 2011.
Data files:
References
  1. [1] M. Weiser, “The computer for the 21st Century,” Pervasive Computing, IEEE, Vol.99, No.1, pp. 19-25, 2002.
  2. [2] J. E. Bardram, “Applications of Context-Aware Computing in Hospital Work – Examples and Design Principles,” In Proc. of the 2004 ACMsymposium on Applied computing (SAC ’04), pp. 1574-1579, 2004.
  3. [3] J. Fink, N. Michael, A. Kushleyev, and V. Kumar, “Experimental Characterization of Radio Signal Propagation in Indoor Environments with Application to Estimation and Control,” In The 2009 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems, pp. 2834-2839, 2009.
  4. [4] D. Fox, J. Hightower, L. Liao, D. Schulz, and G. Borriello, “Bayesian Filtering for Location Estimation,” pp. 24-33, 2003.
  5. [5] R. Want, A. Hopper, V. Falcao, and J. Gibbons, “The Active Badge Location System,” ACM Trans. on Information Systems (TOIS), Vol.10, No.1, pp. 91-102, 1992.
  6. [6] N. B. Priyantha, A. Chakraborty, and H. Balakrishnan, “The Cricket Location-Support System,” In MobiCom ’00: Proc. of the 6th Annual Int. Conf. on Mobile computing and networking, pp. 32-43, Boston, Massachusetts, United States, ACM, 2000.
  7. [7] A.Ward, A. Jones, and A. Hopper, “A New Location Technique for the Active Office,” Personal Communications, IEEE, Vol.4, No.5, pp. 42-47, 1997.
  8. [8] A. Harter, A. Hopper, P. Steggles, A. Ward, and P. Webster, “The Anatomy of a Context-Aware Application,” Wireless Networks, Vol.8, pp. 187-197, 2002.
  9. [9] N. Patwari, A. O. Hero, III, M. Perkins, N. S. Correal, and R. J. O’Dea, “Relative location estimation in wireless sensor networks,” IEEE Trans. on Signal Processing, Vol.51, No.8, pp. 2137-2148, 2003.
  10. [10] H. Niwa, K. Kodaka, Y. Sakamoto, M. Otake, S. Kawaguchi, K. Fujii, Y. Kanemori, and S. Sugano, “GPS-based Indoor Positioning system with Multi-Channel Pseudolite,” In IEEE Int. Conf. on Robotics and Automation 2008 (ICRA 2008), pp. 905-910, 2008.
  11. [11] J. X. Lee, Z. W. Lin, P. S. Chin, and C. L. Law, “A Scheme to Compensate Time Drift in Time Difference of Arrival Localization Among Non-Synchronized Sensor Nodes,” In Vehicular Technology Conf. 2009, VTC Spring 2009, IEEE 69th, pp. 1-4, 2009.
  12. [12] K. I. Ahmed and G. Heidari-Bateni, “Improving Two-Way Ranging Precision with Phase-offset Measurements,” In Global Telecommunications Conf. 2006, GLOBECOM ’06, IEEE, pp. 1-6, 2006.
  13. [13] B. Paramvir and V. N. Padmanabhan, “RADAR: An In-Building RF-based User Location and Tracking System,” INFOCOM 2000, Nineteenth Annual Joint Conf. of the IEEE Computer and Communications Societies, Vol.2, pp. 775-784, 2000.
  14. [14] M. Sugano, T. Kawazoe, Y. Ohta, and M. Murata, “Indoor Localization System using RSSI Measurement of Wireless Sensor Network based on ZigBee Standard,” In Proc. of Wireless and Optical Communications’06, 2006.
  15. [15] S.-Y. Lau, T.-H. Lin, T.-Y. Huang, I.-H. Ng, and P. Huang, “A measurement study of ZigBee-based indoor localization systems under RF interference,” In WINTECH ’09: Proc. of the 4th ACM Int. workshop on Experimental evaluation and characterization, pp. 35-42, Beijing, China, ACM, 2009.
  16. [16] S. J. Halder, T. Y. Choi, J. H. Park, S. H. Kang, S. W. Park, and J. G. Park, “Enhanced ranging using adaptive filter of ZIGBEE RSSI and LQI measurement,” In iiWAS ’08: Proc. of the 10th Int. Conf. on Information Integration and Web-based Applications & Services, pp. 367-373, Linz, Austria, ACM, 2008.
  17. [17] K. Ohara, B. K. Kim, and T. Tanikawa, “Ubiquitous Spot Service for Robotic Environment,” In Int. Symposium on Automation and Robotics in Construction, pp. 158-163, Tokyo, Japan, 2006.
  18. [18] S. Hara and D. Anzai, “Experimental Performance Comparison of RSSI and TDOA-Based Location Estimation Methods,” In Vehicular Technology Conf. 2008, VTC Spring 2008, IEEE, pp. 2651-2655, 2008.

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