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Stefan cel Mare
University of Suceava
Faculty of Electrical Engineering and
Computer Science
13, Universitatii Street
Suceava - 720229

Print ISSN: 1582-7445
Online ISSN: 1844-7600
WorldCat: 643243560
doi: 10.4316/AECE


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  2/2013 - 7

Antenna Radiation Pattern Influence on the Localization Accuracy in Wireless Sensor Networks

COCA, E. See more information about COCA, E. on SCOPUS See more information about COCA, E. on IEEExplore See more information about COCA, E. on Web of Science, POPA, V. See more information about POPA, V. on SCOPUS See more information about POPA, V. on SCOPUS See more information about POPA, V. on Web of Science
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Download PDF pdficon (694 KB) | Citation | Downloads: 526 | Views: 2,747

Author keywords
wireless sensor node, radiation pattern, positioning accuracy, error correction, received signal strength indicator

References keywords
networks(11), sensor(9), localization(6), rssi(5), antenna(4)
Blue keywords are present in both the references section and the paper title.

About this article
Date of Publication: 2013-05-31
Volume 13, Issue 2, Year 2013, On page(s): 43 - 46
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2013.02007
Web of Science Accession Number: 000322179400007
SCOPUS ID: 84878940684

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Localization or position determination is one of the most common applications for the wireless sensor networks. Many investigations have been made during the last decade, most of the effort being concentrated in the direction of improving the accuracy of the positioning results by using complex filtering and correction algorithms, and other techniques such as radio maps or directive antennas for the reference nodes. The most common sources of errors include reflections on nearby objects, radio frequency noise, and variable characteristics of the communication channel. In the vast majority of cases, several assumptions have been made in order to simplify the computing algorithms or the complexity of nodes, and finally their cost. The omnidirectional radiation pattern of the node antennas is such an assumption. In this paper we investigate theoretically and validate by measurements the influence of the radiation pattern on the localization accuracy of a wireless sensor node network. By taking into consideration the orientation of nodes, which could be provided by a local digital compass on each node, we demonstrate that the position accuracy could be improved with a minimum of resources. All measurements were made in radio emissions controlled environment - a semi-anechoic chamber, without affecting the generality of the proposed solution.

References | Cited By  «-- Click to see who has cited this paper

[1] P. Padilla, J. Camacho, G. Macia-Fernandez, J. E. Diaz-Verdejo, P. Garcia-Teodoro, and C. Gomez-Calero, "On the Influence of the Propagation Channel in the Performance of Energy-Efficient Geographic Routing Algorithms for Wireless Sensor Networks (WSN)," Wireless Personal Communications, vol. 70, no. 1, pp. 15-38, May 2012.
[CrossRef] [Web of Science Times Cited 11] [SCOPUS Times Cited 12]

[2] S. Joana Halder and W. Kim, "A Fusion Approach of RSSI and LQI for Indoor Localization System Using Adaptive Smoothers," Journal of Computer Networks and Communications, vol. 2012, pp. 1-10, 2012.
[CrossRef] [SCOPUS Times Cited 28]

[3] J.-A. Jiang, C.-L. Chuang, T.-S. Lin, C.-P. Chen, C.-H. Hung, J.-Y. Wang, C.-W. Liu, and T.-Y. Lai, "Collaborative Localization in Wireless Sensor Networks via Pattern Recognition in Radio Irregularity Using Omnidirectional Antennas," Sensors, vol. 10, no. 1, pp. 400-427, Jan. 2010.
[CrossRef] [Web of Science Times Cited 10] [SCOPUS Times Cited 16]

[4] M. Malajner, P. Planinsic, and D. Gleich, "Angle of Arrival Estimation Using RSSI and Omnidirectional Rotatable Antennas," IEEE Sensors Journal, vol. 12, no. 6, pp. 1950-1957, Jun. 2012.
[CrossRef] [Web of Science Times Cited 37] [SCOPUS Times Cited 49]

[5] Z. Yang, Y. Liu, and X.-Y. Li, "Beyond Trilateration: On the Localizability of Wireless Ad Hoc Networks," IEEE/ACM Transactions on Networking, vol. 18, no. 6, pp. 1806-1814, Dec. 2010.
[CrossRef] [Web of Science Times Cited 57] [SCOPUS Times Cited 79]

[6] C.-Y. Shih and P. J. Marrón, "COLA: Complexity-Reduced Trilateration Approach for 3D Localization in Wireless Sensor Networks," 2010, pp. 24-32.
[CrossRef] [Web of Science Times Cited 2] [SCOPUS Times Cited 48]

[7] M. Barralet, X. Huang, and D. Sharma, "Effects of antenna polarization on RSSI based location identification," in Proceedings of the 11th international conference on Advanced Communication Technology - Volume 1, Piscataway, NJ, USA, 2009, pp. 260-265. ISBN: 978-8-9551-9138-7

[8] Xu Huang, Mark Barralet, and Dharmendra Sharma, "Accuracy of Location Identification with Antenna Polarization on RSSI," Proceedings of the International MultiConference of Engineers and Computer Scientists, 2009. ISBN: 978-988-17012-2-0

[9] Dimitrios Lymberopoulos, Quentin Lindsey, and Andreas Savvides, "An Empirical Characterization of Radio Signal Strength Variability in 3-D IEEE 802.15.4 Networks Using Monopole Antennas," LNCS 3868, Springer-Verlag, vol. EWSN 2006, pp. 326-341, 2006.
[CrossRef] [SCOPUS Times Cited 115]

[10] Sungwon, Yang and Hojung, Cha, "An Empirical Study of Antenna Characteristics Toward RF-Based Localization for IEEE 802.15.4 Sensor Nodes," LNCS 4373, pp. 309-324, 2007. ISBN: 978-3-540-69829-6

[11] Baoli Zhang and Fengqi Yu, "A Feasible Localization Algorithm for Wireless Sensor Networks Using Directional Antenna," 2010, pp. 354-361.
[CrossRef] [SCOPUS Times Cited 8]

[12] M. Holland, R. Aures, and W. Heinzelman, "Experimental investigation of radio performance in wireless sensor networks," 2006, pp. 140-150.
[CrossRef] [SCOPUS Times Cited 51]

[13] T. H. Loh and M. Collett, "Radiation pattern characterization of embedded radios emitting modulated signals," in 2012 19th International Conference on Microwave Radar and Wireless Communications (MIKON), 2012, vol. 1, pp. 80-84.
[CrossRef] [SCOPUS Times Cited 2]

[14] J. Graefenstein, A. Albert, and P. Biber, "Radiation pattern correlation for mobile robot localization in low power wireless networks," 2009, pp. 3545-3550.
[CrossRef] [SCOPUS Times Cited 7]

[15] K. S. Jin, J. C. McEachen, and G. Singh, "RF Characteristics of Mica-Z Wireless Sensor Network Motes," in 49th IEEE International Midwest Symposium on Circuits and Systems, 2006. MWSCAS ’06, 2006, vol. 2, pp. 100 -104.
[CrossRef] [SCOPUS Times Cited 8]

[16] S. Mazuelas, A. Bahillo, R. M. Lorenzo, P. Fernandez, F. A. Lago, E. Garcia, J. Blas, and E. J. Abril, "Robust Indoor Positioning Provided by Real-Time RSSI Values in Unmodified WLAN Networks," IEEE Journal of Selected Topics in Signal Processing, vol. 3, no. 5, pp. 821-831, Oct. 2009.
[CrossRef] [Web of Science Times Cited 254] [SCOPUS Times Cited 315]

[17] S. Genchev, P. Venkov, and B. Vidolov, "Trilateration Analysis for Movement Planning in a Group of Mobile Robots," in in Artificial Intelligence: Methodology, Systems, and Applications, vol. 5253, D. Dochev, M. Pistore, and P. Traverso, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 353-364.
[CrossRef] [SCOPUS Times Cited 2]

[18] K. Langendoen and T. Voigt, Wireless Sensor Networks: 4th European Conference, EWSN 2007, Delft, The Netherlands, January 29-31, 2007, Proceedings. Springer, 2007. ISBN: 978-3-540-69829-6

[19] ***, "Integrated Compass Sensor HMC6052." Honeywell, 2005.

References Weight

Web of Science® Citations for all references: 371 TCR
SCOPUS® Citations for all references: 740 TCR

Web of Science® Average Citations per reference: 20 ACR
SCOPUS® Average Citations per reference: 39 ACR

TCR = Total Citations for References / ACR = Average Citations per Reference

We introduced in 2010 - for the first time in scientific publishing, the term "References Weight", as a quantitative indication of the quality ... Read more

Citations for references updated on 2020-11-26 22:38 in 95 seconds.

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