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Ranging the Distance Between Wireless Sensor Nodes Using the Deviation Correction Method of Received Signal Strength
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 Title & Authors
Ranging the Distance Between Wireless Sensor Nodes Using the Deviation Correction Method of Received Signal Strength
Lee, Jin-Young; Kim, Jung-Gyu;
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 Abstract
Based on the Zigbee-based wireless sensor network, I suggest the way to reduce errors between the short distance, improving the accuracy of the presumed distance by revising the deviation of RSSI(Received Signal Strength Indication) values is to estimate the distance using only the RF signal power without the additional hardware. In general, the graph measured by RSSI values shows the proximity values which are ideally reduced in proportion to the distance under the free outdoor space in which LOS(Line-Of-Sight) is guaranteed. However, if the result of the received RSSI values are each substituted to the formula, it can produce a larger margin of error and less accurate measurement since it is based upon the premise that this free space is not affected by reflected waves or obstacles caused by the ground and electronic jamming engendered by the environment. Therefore, the purpose of this study is to reduce the margin of errors between the distances and to measure the proximity values with the ideal type of graph by suggesting the way to revise the received RSSI values in the light of these reflected waves or obstacles and the electronic jamming. In conclusion, this study proves that errors are reduced by comparing the proposed deviation correction method to the revised RSSI value.
 Keywords
WSN;Localization;Ranging;RSSI;Deviation;Correction;
 Language
Korean
 Cited by
1.
정밀한 무선측위 기반 CPS를 위한 SDS-TWR 거리측정 기법의 성능 평가,유준혁;김희철;

한국통신학회논문지, 2014. vol.39B. 9, pp.570-577 crossref(new window)
1.
Performance Evaluation of SDS-TWR Ranging Algorithms for CPS Based on Accurate Wireless Localization, The Journal of Korea Information and Communications Society, 2014, 39B, 9, 570  crossref(new windwow)
 References
1.
M. Weiser, "The Computer for the 21st Century," Scientific American, Vol. 265, No. 3, pp.94-104, 1991.

2.
A. Boukerche, H.A.B. Oliveira, E.F. Nakamura, A.A.F. Loureiro, "Localization systems for wireless sensor networks," IEEE Wireless Communications, Vol 14, No. 6, pp 6-12, 2007.

3.
A.H. Sayed, A. Tarighat, N. Khajehnouri, "Network-based wireless location: challenges faced in developing techniques for accurate wireless location information," Signal Processing Maqazine, IEEE, Vol. 22, No. 4, pp.24-40, 2005.

4.
이지영, 양성원, 이영화, 차호정, "유비쿼터스 환경에서의 위치인식 기술," 인터넷정보학회지, Vol. 7, No. 2, pp.30-37, 2006.

5.
R. Want, A. Hopper, V. Falcao, J. Gibbons, "The Active Badge Location System," ACM Trans. on Information Systems, Vol. 10, No. 1, pp.91-102, 1992. crossref(new window)

6.
N. Priyantha, A. Chakraborty, H. Balakrishnan, "The Cricket Location-Support System," Proceedings on the ACM international Conference on MobICom 2000.

7.
J. Hightower, R. Wand, G. Borriello, "SpotON: An Indoor 3d Location-Sensing Technology Based on RF Signal Strength," UWCES Technical Report, 2000.

8.
Y.S. Nam, J.G. Lim, I.H. Jang, "Ranging Performance Evaluation of Relative Frequency Offset Compensation in High Rate UWB," 한국콘텐츠학회논문지 Vol. 9, No. 7, pp.76-85, 2009.

9.
P. Bahl, V.N. Padmanabhan, "RADAR: An In-Building RF-based User Location and Tracking System," Proceedings on 19th Joint Conference of the IEEE Computer and Communications Societies, Vol. 2, pp.775-784, 2000.

10.
D.M. Dobkin. "The RF in RFID:Passive UHF RFID in Practice," Newnes, 2008.

11.
TinyOS http://www.tinyos.net/

12.
CC2420 2.4 GHz IEEE 802.15.4 / ZigBee-ready RF Transceiver TI