Effects of Varying Distance on Wireless Signal Propagation in Indoor and Outdoor Built Sites

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The effects of varying distances on wireless signal propagation in indoor and outdoor built sites is presented in this paper. In indoor and outdoor built sites the major RF signal attenuation is due to multi-path interference, signal loss (fading), and non-line of sight signal blockage. A number of mobile communication systems is currently and frequently being used in indoor environments based on IEEE 802.11b standards which is on 2.4GHz frequency ISM band at the rate of 11Mbps. To determine the effects of varying distances on signal strength at 2.457 GHz, a Spykee spy Wi-Fi robot was used as the transmitter and laptop installed with a Wi-Fi card and Spykee console software to control the robot was used as the receiver. Results showed that the signal attenuation levels increased as distances increased.

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75-89

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November 2011

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© 2011 Trans Tech Publications Ltd. All Rights Reserved

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[1] Y. Zhang, Z. Fang, R. Li, W. Hu, The Design and Implementation of a RSSI-Based Localization System. IEEE 5th Int. Conf. on Wireless Communications, Networking and Mobile Computing, (2009) 1-4.

DOI: 10.1109/wicom.2009.5303968

Google Scholar

[2] K. Romer, and F. Mattern, The Design Space of Wireless Sensor Networks, IEEE Journal: Wireless Communications, 11 (6) (2004) 54-61.

DOI: 10.1109/mwc.2004.1368897

Google Scholar

[3] R. Heddergott, and P.E. Leuthold, An Extension of Stochastic Radio Channel Modeling Considering Propagation Environments with Clustered Multipath Components, IEEE Transactions on Antenna and Propagation. 51 (8) (2003).

DOI: 10.1109/tsp.2003.815448

Google Scholar

[4] D. Puccinelli and M. Haenggi, Multipath Fading in Wireless Sensor Networks: Measurements and Interpretation, in Proc. IEEE/ACM Int. Wireless Communication Mobile Comput. Conf. (IWCMC'06), Vancouver, Canada (2006) 1039-1044.

DOI: 10.1145/1143549.1143757

Google Scholar

[5] M. Lindhe, K.H. Johansson, and A. Bichi, (2007).

Google Scholar

[6] C. Pu, and Y. Chung, Mitigation of Multipath Fading Effects to Improve Indoor RSSI Performance, IEEE Sensors Journal: 8 (11) (2008) 1884-1886.

DOI: 10.1109/jsen.2008.2006453

Google Scholar

[7] J.L. Chu, and Kiang, Multipath effects on beacon performances, IEEE International Conference on Networking, Sensing and Control, 1 (2004) 635-638.

DOI: 10.1109/icnsc.2004.1297513

Google Scholar

[8] R. Wu, Y. Lee, H. Tseng Y. Jan, and M. Chuang, Study of Characteristics of RSSI Signal, IEEE International Conference on Industrial Technology (IEEE ICIT), (2008) 1-3.

DOI: 10.1109/icit.2008.4608603

Google Scholar

[9] S. Hara, D. Zhao, K. Yanagihara, J. Taketsugu, K. Fukui, S. Fukunaga, and K. Kitayama, Propagation Characteristics of IEEE 802. 15. 4 Radio Signal and Their Application for Location Estimation, IEEE Veh. Technology Conf., 1 (2005) 97-101.

DOI: 10.1109/vetecs.2005.1543257

Google Scholar

[10] Q. Lymberopoulos, Q. Lindsley, and A. Savvides, An Empirical Characterization of Radio Signal Strength Variability in 3-D IEEE 802. 15. 4 Networks Using Monopole antennas, Lecture Notes in Computer Science, 3868 (2006) 326-341.

DOI: 10.1007/11669463_24

Google Scholar

[11] M.M. Holland, R.G. Aures, and W.B. Heinzelman, Experimental Investigation of Radio Performance in Wireless Sensor Networks, IEEE WiMesh, (2006) 140-150.

DOI: 10.1109/wimesh.2006.288630

Google Scholar

[12] T. Chrysikos, G. Georgopoulos, and S. Kotsopoulos, Site-Specific Validation of ITU Indoor Path Loss Model at 2. 4 GHz, IEEE Journal on Wireless Mobile and Multimedia Networks and Workshops, International Symposium, 7 (2009) 1-6.

DOI: 10.1109/wowmom.2009.5282432

Google Scholar

[13] P. Bellavista, A. Corradi, and C. Giannelli, Evaluating filtering strategies for decentralized handover prediction in the wireless internet, In Proc. ISCC, Sardinia, Italy (2006) 167-174.

DOI: 10.1109/iscc.2006.70

Google Scholar

[14] R. Pahtma, R. Preden, R. Agar, and P. Pikk, Utilization of Received Signal Strength Indication by Embedded Nodes, Journal: Electronics and Electronic Engineering . - Kaunas: Technologija, 93 (50) (2009) 39-42.

Google Scholar

[15] K. Pahlavan, and M. Kanaan, A comparison of Wireless geolocation algorithms in indoor environments, Wireless Communication and Networking Conference, WCNC IEEE, 1 (2004) 21-25.

DOI: 10.1109/wcnc.2004.1311539

Google Scholar

[16] A. Pekou, V. Nastos, N. Moraitis, and P. Constantitiou, Time Delay and Coherence Bandwidth Measurements at 60GHz in an indoor environment for WLANS, IEEE Vehicular Technology Conference, 1 (2004) 93-97.

DOI: 10.1109/vetecs.2004.1387919

Google Scholar

[17] D. Pena, R. Feick, H. Hristov, and W. Grote, Measurements and modeling of propagation losses in brick and concrete walls at the 900-Mhz Band, IEEE Trans., Antenna Propagation, 51 (2003) 31-39.

DOI: 10.1109/tap.2003.808539

Google Scholar

[18] R. Feick, H.D. Hristov, W. Grote, and D. Pena, Attenuation Measurements for Double-Mesh Reinforced concrete walls at the 900-Mhz Cellular Band, Department of electronic Engineering, Universidad Technica Federico Santa Maria, Valparaiso, Casilla 110V, Chille. IEEE Trans. on Antennas Propagation. (2003).

DOI: 10.1109/tap.2003.808539

Google Scholar

[19] M. Dehmollaian, Hybrid Electromagnetic Models for the Purpose of Detection and Identification of Visually Obscured Targets, PhD Dissertation in Electrical Engineering at The University of Michigan (2007).

Google Scholar

[20] L. Sandrolini, U. Reggiani, and A. Ogunsola, Modeling the electrical properties of concrete for shielding effectiveness prediction. Journal of Physics: Applied Physics, 40 (2007) 5360-5372.

DOI: 10.1088/0022-3727/40/17/053

Google Scholar

[21] J. Edler, M. Oskowsky, and W. Wang, Wireless mesh network for building automation Technical article: Industrial Wireless book issue 10: 2 (2005).

Google Scholar