Development of a method for assessing the effective information transfer rate based on an empirical model of statistical relationship between basic parameters of the Standard 802.11 wireless channel
DOI:
https://doi.org/10.15587/1729-4061.2020.213834Keywords:
wireless channel, Standard 802.11, effective data rate, signal strength, assessment method, statistical relationshipAbstract
A method of estimating the effective data rate in channels of the Standard 802.11 was proposed. It provides for the measurement of the main energy parameter using the software and hardware of the subscriber device. This method is based on the empirical models of statistical relationships between the main parameters of the channel which are obtained on the basis of experimental studies using monitoring algorithms. The solutions obtained during the implementation of this method make it possible to take into account the maximum possible number of destabilizing factors and significantly reduce the time of assessment of the effective data rate. It should be noted that this method can be used for technical diagnostics of wireless networks of Standards 802.11x at the stages of network design and operation.
It was established that when using the coefficient of energy efficiency, a significant error in the displacement of the points of intersection of the linear and logarithmic mathematical model occurs. This can lead to a discrepancy between the mathematical estimates of the effective data rate and real values. The statistical relationship gives a smaller error; however, it increases requirements for empirical studies to obtain the maximum possible reliability.
One of the features of the proposed method is the reliability of assessment of the effective data rate. This reliability depends on three main factors: accuracy of assessing the results based on which the mathematical model was obtained; estimation of fluctuation intervals and characteristics of the Standard 802.11 equipment of different manufacturers. The last factor can be considered as a disadvantage that involves the creation of a database of parameters of the model of statistical relationship for different devices with correction coefficients
References
- Liu, D., Wang, H., Peng, X., McCann, S., Fang, P., Duan, X. et. al. (2014). WLAN new technologies in IEEE 802.11. 2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS). doi: https://doi.org/10.1109/ursigass.2014.6929347
- Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., Ayyash, M. (2015). Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications. IEEE Communications Surveys & Tutorials, 17 (4), 2347–2376. doi: https://doi.org/10.1109/comst.2015.2444095
- Chapre, Y., Mohapatra, P., Jha, S., Seneviratne, A. (2013). Received signal strength indicator and its analysis in a typical WLAN system (short paper). 38th Annual IEEE Conference on Local Computer Networks. doi: https://doi.org/10.1109/lcn.2013.6761255
- Soldo, I., Malarić, K. (2013). Wi-Fi Parameter Measurements and Analysis. MEASUREMENT 2013, Proceedings of the 9th International Conference. Smolenice, 339–342. Available at: http://www.measurement.sk/M2013/doc/proceedings/339_Malaric-1.pdf
- Foster, K. R. (2007). Radiofrequency Exposure From Wireless Lans Utilizing Wi-Fi Technology. Health Physics, 92 (3), 280–289. doi: https://doi.org/10.1097/01.hp.0000248117.74843.34
- Davies, J. N., Grout, V., Picking, R. (2008). Prediction of Wireless Network Signal Strength within a Building. Proceedings of the SeventhInternational Network Conference (INC 2008). University of Plymouth, 193–207. Available at: https://www.researchgate.net/publication/239826121_Prediction_of_Wireless_Network_Signal_Strength_within_a_Building
- Laitinen, E., Talvitie, J., Lohan, E.-S. (2015). On the RSS biases in WLAN-based indoor positioning. 2015 IEEE International Conference on Communication Workshop (ICCW). doi: https://doi.org/10.1109/iccw.2015.7247277
- Kai, C. H., Liew, S. C. (2010). Towards a More Accurate Carrier Sensing Model for CSMA Wireless Networks. 2010 IEEE International Conference on Communications. doi: https://doi.org/10.1109/icc.2010.5502695
- Liang, L., Wang, W., Jia, Y., Fu, S. (2016). A Cluster-Based Energy-Efficient Resource Management Scheme for Ultra-Dense Networks. IEEE Access, 4, 6823–6832. doi: https://doi.org/10.1109/access.2016.2614517
- Deek, L., Garcia-Villegas, E., Belding, E., Lee, S.-J., Almeroth, K. (2011). The impact of channel bonding on 802.11n network management. Proceedings of the Seventh COnference on Emerging Networking EXperiments and Technologies on - CoNEXT ’11. doi: https://doi.org/10.1145/2079296.2079307
- Rathod, K., Vatti, R., Nandre, M. (2017). Optimization of Campus Wide WLAN. International Journal of Electrical Electronics & Computer Science Engineering, 4 (5). Available at: https://www.ijeecse.com/V4N5-001.pdf
- Sârbu, A., Sârbu, M., Șumălan, C. (2018). Non Wi-Fi Devices Interference Testing in a 2.4 GHz Wi-Fi Home. Land Forces Academy Review, 23 (2), 143–150. doi: https://doi.org/10.2478/raft-2018-0017
- Nj, M., Sahib, S., Suryana, N., Hussin, B. (2017). RTS/CTS Framework Paradigm and WLAN Qos Provisioning Methods. International Journal of Advanced Computer Science and Applications, 8 (2). doi: https://doi.org/10.14569/ijacsa.2017.080224
- Kienle, F., Wehn, N., Meyr, H. (2011). On Complexity, Energy- and Implementation-Efficiency of Channel Decoders. IEEE Transactions on Communications, 59 (12), 3301–3310. doi: https://doi.org/10.1109/tcomm.2011.092011.100157
- Mykhalevskiy, D. V. (2019). Investigation of Wireless Channels of 802.11 Standard in the 5ghz Frequency Band. Latvian Journal of Physics and Technical Sciences, 56 (1), 41–52. doi: https://doi.org/10.2478/lpts-2019-0004
- Mykhalevskiy, D. V., Horodetska, O. S. (2019). Investigation of Wireless Channels According to the Standard 802.11 in the Frequency Range of 5 GHz for Two Subscribers. Journal of Mechanical Engineering Research & Developments, 42 (2), 50–57. doi: https://doi.org/10.26480/jmerd.02.2019.50.57
- Mykhalevskiy, D. (2017). Development of a spatial method for the estimation of signal strenth at the input of the 802.11 standard receiver. Eastern-European Journal of Enterprise Technologies, 4 (9 (88)), 29–36. doi: https://doi.org/10.15587/1729-4061.2017.106925
- Mykhalevskiy, D., Vasylkivskyi, N., Horodetska, O. (2017). Development of a mathematical model for estimating signal strength at the input of the 802.11 standard receiver. Eastern-European Journal of Enterprise Technologies, 6 (9 (90)), 38–43. doi: https://doi.org/10.15587/1729-4061.2017.114191
- Mykhalevskiy, D. (2018). Construction of mathematical models for the estimation of signal strength at the input to the 802.11 standard receiver in a 5 GHz band. Eastern-European Journal of Enterprise Technologies, 6 (9 (96)), 16–21. doi: https://doi.org/10.15587/1729-4061.2018.150983
- Mykhalevskiy, D. M., Kychak, V. M. (2019). Development of Information Models for Increasing the Evaluation Efficiency of Wireless Channel Parameters of 802.11 Standard. Latvian Journal of Physics and Technical Sciences, 56 (5), 22–32. doi: https://doi.org/10.2478/lpts-2019-0028
- Wescott, D. A., Coleman, D. D., Mackenzie, P., Miller, B. (2011). CWAP Certified Wireless Analysis Professional Official Study Guide: Exam PW0-270. John Wiley & Sons, 696. Available at: https://books.google.com.ua/books?id=0GwFrd90G3kC&dq=CWAP+Certified+Wireless+Analysis+Professional+Official+Study+Guide:+Exam+PW0-270+%D0%BA%D1%83%D1%84%D0%B2&hl=ru
- Perahia, E., Stacey, R. (2013). Next Generation Wireless LANs: 802.11n and 802.11ac. Cambridge University Press. doi: https://doi.org/10.1017/cbo9781139061407
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2020 Dmytro Mykhalevskiy
This work is licensed under a Creative Commons Attribution 4.0 International License.
The consolidation and conditions for the transfer of copyright (identification of authorship) is carried out in the License Agreement. In particular, the authors reserve the right to the authorship of their manuscript and transfer the first publication of this work to the journal under the terms of the Creative Commons CC BY license. At the same time, they have the right to conclude on their own additional agreements concerning the non-exclusive distribution of the work in the form in which it was published by this journal, but provided that the link to the first publication of the article in this journal is preserved.
A license agreement is a document in which the author warrants that he/she owns all copyright for the work (manuscript, article, etc.).
The authors, signing the License Agreement with TECHNOLOGY CENTER PC, have all rights to the further use of their work, provided that they link to our edition in which the work was published.
According to the terms of the License Agreement, the Publisher TECHNOLOGY CENTER PC does not take away your copyrights and receives permission from the authors to use and dissemination of the publication through the world's scientific resources (own electronic resources, scientometric databases, repositories, libraries, etc.).
In the absence of a signed License Agreement or in the absence of this agreement of identifiers allowing to identify the identity of the author, the editors have no right to work with the manuscript.
It is important to remember that there is another type of agreement between authors and publishers – when copyright is transferred from the authors to the publisher. In this case, the authors lose ownership of their work and may not use it in any way.