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Performance Evaluation of the Lionet Quality of Service in Nsukka Campus of the University of Nigeria

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DOI: 10.4236/ijcns.2014.74014    2,547 Downloads   3,358 Views  

ABSTRACT

Efficient performance of the Lionet in Nsukka campus of the University of Nigeria may be hindered by the ornamental trees that characterises the physical features of the University environment. This work measured and analyzed the Lionet quality of service (QoS) in terms of received power level and path loss as functions of distance, under free space condition and in the presence of a tree. To achieve this, Ordinary Least Squares (OLS) regression analysis was used on the measured data with the help of SPSS version 16.0 software; to show the significance of the presence of trees on the Lionet QoS. The findings revealed that path loss is influenced significantly if (p < 0.05) by distance (b = 0.920) and effect of a tree (b = -0.185), while for received power level by distance (b = -0.920) and effect of a tree (b = -0.185). This study has revealed that unless the University takes urgent steps to provide more access points, the QoS cannot be improved since the trees are also required in the environment as wind breakers.

Conflicts of Interest

The authors declare no conflicts of interest.

Cite this paper

Nwawelu, U. , Nzeako, A. , Ahaneku, M. and Chijindu, V. (2014) Performance Evaluation of the Lionet Quality of Service in Nsukka Campus of the University of Nigeria. International Journal of Communications, Network and System Sciences, 7, 122-129. doi: 10.4236/ijcns.2014.74014.

References

[1] Dobkin, D.M. (2005) RF Engineering for Wireless Networks: Hardware, Antennas, and Propagation. Newness, San Francisco, 448.
[2] Rappaport, T.S. (2000) Wireless Communication, Principles and Practice. 2nd Edition, Pearson Education Inc., Singapore.
[3] Meng, Y.S., Lee, Y.H. and Ng., B.C. (2009) Study of Propagation Loss Prediction in Forest Environment. Progress in Electromagnetics Research B, 17, 117-133.
http://dx.doi.org/10.2528/PIERB09071901
[4] Abebe, T. (2010) Modeling of Scattering and Absorption by Phantom Tissue. Addis Ababa University Addis Ababa, Ethiopia.
[5] Hie, S.S. (2004) Radio Channel Modeling for Mobile Ad Hoc Wireless Networks. Naval Postgraduate School Monterey, California.
[6] Nwawelu, U.N., Nzeako, A.N. and Ahaneku, M.A. (2012) The Limitations of Campus Wireless Networks: A Case Study of University of Nigeria, Nsukka [Lionet]. International Journal of Networks and Communications, 2, 112-122.
http://dx.doi.org/10.5923/j.ijnc.20120205.04
[7] Meng, Y.S., Lee, Y.H. and Ng, B.C. (2009) Study of Propagation Loss Prediction in Forest Environment. Progress in Electromagnetics Research B, 17, 117-133.
http://dx.doi.org/10.2528/PIERB09071901
[8] Ly, P.L., Ly, P.L., Rahman, T.A. and Abu, M.K. (2010) Investigation of Foliage Effects via Remote Data Logging at 5.8 GHz. WSEAS Transactions on Communication, 9, 237-247.
[9] Chukwudi, O.R. (2008) The Effects of Vegetation on GSM Signal Propagation in Rural Areas. Master Thesis Dissertation, University of Nigeria Nsukka, Nigeria.
[10] Gans, M.J., Amitay, N., Yeh, Y.S., Damen, T.C., Valenzuela, R.A., Cheon, C. and Lee, J. (2002) Measurements for Fixed Wireless Loops (FWL) in a Suburban Region with Foliage and Terrain Blockages. IEEE Transactions on Wireless Communications, 1, 302-310.
http://dx.doi.org/10.1109/7693.994824
[11] Perras, S. and Bouchard, L. (2002) Bouchard: Fading Characteristics of RF Signals Due to Foliage in Frequency Bands from 2 to 60 GHz. The 5th International Symposium on Wireless Personal Multimedia Communications, 27-30 October 2002, 267-271
[12] Karlsson, A., Schuh, R.E., Bergljung, C., Karlsson, P. and Lowendahl, N. (2001) The Influence of Trees on Radio Channel at Frequencies of 3 and 5 GHz. IEEE VTS 54th Vehicular Technology Conference, Atlantic City, 7-11 October 2001, 2008-2012.
[13] Lacan, I. and McBride, J.R. (2009) City Trees and Municipal Wi-Fi Networks: Compatibility or Conflict?” Scientific Journal of the International Society of Arboriculture, Arboriculture & Urban Forestry, 35, 203-210.
[14] Sharma, D. and Singh, R.K. (2012) Analysis of Handover Initiation using Path Loss to Sustain QoS. International Journal of Scientific & Engineering Research, 3, 1-6.
[15] Sharma, D. and Singh, R.K. (2010) The Effect of Path Loss on QoS at NPL. International Journal of Engineering Science and Technology, 2, 3018-3023
[16] Sharma, P.K. and Singh, R.K. (2012) Analysis of Large Scale Propagation Models & RF Coverage Estimation. International Journal of Computer Networks and Wireless Communications (IJCNWC), 2, 204-208.
[17] Saunders, S.R. and Aragon-Zavala, A. (2007) Antennas and Propagation for Wireless Communication Systems. John Willey & Sons, Ltd., London.
[18] Sharma, D. and Singh, R.K. (2011) A Modified Way of Evaluating Loss to Sustain the QoS in Highly Populated Area. International Journal of Advanced Science and Technology, 29, 9-16.
[19] Sharma, D., Sharma, P.K. and Singh, R.K. (2012) Modified Approach to Estimate the Propagation Path Loss in Urban Area. International Journal of Advances in Electronics Engineering, 2, 275-279.
[20] Smith, C. (2000) Wireless Telecom FAQs. McGraw-Hill, New York.
[21] ITU-R (1994) Recommendation ITU-R. Conversion of Annual Statistics to Worst-Month Statistics. International Telecommunication Union, Geneva, 841.
[22] http://wavionnetworks.com/innerdata/pdf/Introduction_DT_antenna.pdf

  
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