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ABSTRACTS OF ARTICLES OF THE JOURNAL "INFORMATION TECHNOLOGIES".
No. 4. Vol. 31. 2025
DOI: 10.17587/it.31.184-190
A. Ebraheem, Ph.D. Student, I. A. Ivanov, Cand. Tech. Sc., Assistant Professor, A. Ali, Ph.D. Student,
HSE University, Moscow, Russian Federation
A Situation-Based Method for the Optimal Placement of Access Points and Gateways Indoors in the Context of the Internet of Things
Received on 19.05.24
Accepted on 30.07.24
The article is devoted to the development of a method for optimal placement of access points and gateways in indoor environments taking into account the mobility of end devices. The paper proposes a mathematical optimization model based on the Non-dominated Sorting Genetic Algorithm II and the Technique for Order of Preference by Similarity to Ideal Solution, and successfully applies the method in a real situation.
Keywords: access point, gateway, coverage, NSGA II, propagation model, TOPSIS, Motley-Keenan, Internet of Things
Acknowlegements: The research was supported by a grant from the Russian Science Foundation No. 24-19-00299, https://rscf.ru/project/24-19-00299/ DOI: 10.17587/it.31.184-190
P. 184-190
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References
- Hosseinzadeh S., Larijani H., Curtis K. An enhanced modified multi wall propagation model, 2017 Global Internet of Things Summit (GIoTS), 2017, pp. 14.
- Plets D., Joseph W., Vanhecke K., Tanghe E., Martens L. Coverage prediction and optimization algorithms for indoor environments, EURASIP Journal on Wireless Communications and Networking, 2012, no 1.
- Alathari B., Radi M. R., Kadhim M. F., Ali N. S., Alyasseri Z. A. A. An Optimization for Access Point Placement in Indoor Communication, Lecture Notes in Electrical Engineering, 2023, pp. 615629.
- Sherali H., Pendyala C., Rappaport T. Optimal location of transmitters for micro-cellular radio communication system design, IEEE Journal on Selected Areas in Communications, 1996, vol. 14, no. 4, pp. 662673.
- Stamatelos D., Ephremides A. Spectral efficiency and optimal base station placement for indoor wireless networks, IEEE Journal on Selected Areas in Communications, 1996, vol. 14, no. 4, pp. 651661.
- Xu Y., Zhou M., Ma L. Optimization of WLAN indoor location network based on signal coverage requirement, 1st International Conference on Pervasive Computing, Signal Processing and Applications, 2010.
- Hervis Y., Martinez R., Guillen G., Martens L., Joseph W. Plets D. Indoor Genetic Algorithm-Based 5G Network Planning Using a Machine Learning Model for Path Loss Estimation, Applied Sciences, 2023, vol. 12, pp. 3923.
- Moysen J., Giupponi L., Mangues-Bafalluy J. A machine learning enabled network planning tool, 2016 IEEE 27th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2016, pp. 17.
- Zhukov V. G., Parot'kin N. Ju. Automated system for designing IEEE 802.11 wireless networks, Programmnye produkty i sistemy, 2012, no. 3, pp. 202207 (in Russian).
- Centr Telekommunikacionnyh Tehnologij: site. Novosibirsk, 2024, available at: https://www.ctt-group.ru/indoor-radioplanner (date of treatment: 28.07.2024) (in Russian).
- Kutukova T. T., Hvan A. A. Using expert ranking methods when selecting software for wireless network simulation, Informacionnye tehnologii v UIS, 2020, no. 3, pp. 715 (in Russian).
- Bautin I. A. Wi-Fi radio propagation models, Vestnik Voronezhskogo instituta vysokikh tekhnologiy, 2017, no. 2, pp. 107112 (in Russian).
- Chrysikos T., Georgopoulos I., Birkos K., Kotsopoulos S. Wireless Channel Characterization: On the validation issues of indoor RF models at 2.4 GHz, First Panhellenic Conference Electronics and Telecommunications (PACET), 2009.
- International Telecommunication Union (ITU): site. Geneva, 2023, available at: https://www.itu.int/dms_pubrec/itu-r/rec/p/RREC-P.1238-12-202308-IllPDF-E.pdf (date of treatment: 26.04.2024).
- Motley A. J., Keenan J. M. P. Personal communication radio coverage in buildings at 900 MHz and 1700 MHz, Electronics Letters, 1988, vol. 24, no. 12, pp. 763764.
- Saez de Adana F., Blanco O., Diego I., Arriaga J., Catedra F. Propagation Model Based on Ray Tracing for the Design of Personal Communication Systems in Indoor Environments, IEEE Transactions on Vehicular Technology, 2000, pp. 2105 2112.
- Yusoff Y., Ngadiman M., Zain A. Overview of NSGA-II for optimizing machining process parameters, Procedia Engineering, 2011, vol. 15, pp. 39783983.
- Deb K., Pratap A., Agarwal S., Meyarivan T. A fast and elitist multiobjective genetic algorithm: NSGA-II, IEEE Transactions on Evolutionary Computation, 2002, vol. 6, no. 2, pp. 182197.
- Wang Z., Rangaiah G. Application and analysis of methods for selecting an optimal solution from the pareto-optimal front obtained by multiobjective optimization, Industrial & Engineering Chemistry Research, 2017, vol. 56, pp. 560574.
- Halicka K. Technology Selection Using the TOPSIS Method, Foresight and STI Governance, 2020, vol. 14, no. 1, pp. 8596.
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