Predictive Wireless Received Signal Strength Using Friis Transmission Technique

Roziyani Rawi - National Defence University of Malaysia, Kuala Lumpur, 57000, Malaysia
Mohd Rizal Mohd Isa - National Defence University of Malaysia, Kuala Lumpur, 57000, Malaysia
Mohd Nazri Ismail - National Defence University of Malaysia, Kuala Lumpur, 57000, Malaysia
Aznida Abu Bakar Sajak - Universiti Kuala Lumpur, Kuala Lumpur, 50250, Malaysia
Yuhanim Hani Yahaya - National Defence University of Malaysia, Kuala Lumpur, 57000, Malaysia


Citation Format:



DOI: http://dx.doi.org/10.62527/joiv.8.2.2178

Abstract


A good WLAN performance is crucial in determining the quality of experience (QoE) among the campus community. Proper WLAN planning and design should be done beforehand to ensure good WLAN performance. Various studies have discussed different methods of conducting WLAN planning to predict WLAN's best performance, including using artificial intelligence and mathematical approaches. One of the processes involved in performing WLAN planning is measuring performance parameters. Signal strength is one of the vital parameters to be measured in determining the excellent performance of WLAN in a particular area. When deploying a WLAN design in two different environments, the signal strength outcomes can differ due to various factors, including obstacles and path loss propagation issues within the deployment area. Higher Learning Institutions (HLIs) present a unique challenge as their building designs vary to accommodate student needs. As a result, the selection of materials used will also be different, affecting the WLAN performance. A detailed study should investigate the effect of path loss propagation and the type of obstacle that affects WLAN performance in HLI. Thus, this study focuses on predicting received signal strength using Friis Transmission and studying the effect of path loss propagation on WLAN performance. The simulated model significantly affects signal strength when the signal passes through different types of building material (non-LOS) and line-of-sight (NLOS), where concrete walls substantially affect the received signal strength between transmitters. The proposed model can assist network planners in designing robust WLAN infrastructure by improving signal strength, particularly in the HLI WLAN environment. 


Keywords


WLAN planning; Friis Transmission; path loss; Received signal strength

Full Text:

PDF

References


J. L. R. Muñoz et al., “Systematic Review of Adaptive Learning Technology for Learning in Higher Education,” Eurasian Journal of Educational Research, vol. 2022, no. 98, pp. 221–233, 2022, doi: 10.14689/ejer.2022.98.014.

G. Maheshwari, “Factors affecting students’ intentions to undertake online learning: an empirical study in Vietnam,” Educ Inf Technol (Dordr), vol. 26, no. 6, pp. 6629–6649, Nov. 2021, doi: 10.1007/s10639-021-10465-8.

M. A. Almaiah, S. Ayouni, F. Hajjej, A. Lutfi, O. Almomani, and A. B. Awad, “Smart Mobile Learning Success Model for Higher Educational Institutions in the Context of the COVID-19 Pandemic,” Electronics (Switzerland), vol. 11, no. 8, Apr. 2022, doi: 10.3390/electronics11081278.

M. A. Mulyani, S. Yusuf, P. Siregar, J. Nurihsan, A. Razzaq, and M. Anshari, “Fourth industrial revolution and educational challenges,” Proceedings of 2021 International Conference on Information Management and Technology, ICIMTech 2021, no. August, pp. 245–249, 2021, doi: 10.1109/ICIMTech53080.2021.9535057.

Cisco, “Cisco Annual Internet Report (2018–2023) White Paper.” Accessed: Sep. 15, 2023. [Online]. Available: https://www.cisco.com/c/en/us/solutions/collateral/executive-perspectives/annual-internet-report/white-paper-c11-741490.pdf

E. Mozaffariahrar, F. Theoleyre, and M. Menth, “A Survey of Wi-Fi 6: Technologies, Advances, and Challenges,” Future Internet, vol. 14, no. 10, Oct. 2022, doi: 10.3390/fi14100293.

P. I. Silva-da-Nóbrega, A. F. Chim-Miki, and M. Castillo-Palacio, “A Smart Campus Framework: Challenges and Opportunities for Education Based on the Sustainable Development Goals,” Sustainability, vol. 14, no. 15, p. 9640, Aug. 2022, doi: 10.3390/su14159640.

F. Azli Mohd Rahim, N. Zainon, N. Mardhiyah Aziz, L. Siaw Chuing, and U. Obaidellah, “A Review on Smart Campus Concept and Application towards Enhancing Campus Users’ Learning Experiences,” 2021.

A. S. M. Lumenta and D. Febrian Sengkey, “An Analysis of WLAN Security at the Minahasa Regency Office of Educational Affairs e-Learning and educational data mining View project Learning Media and Blended Learning View project,” Jurnal Teknik Informatika vol.17 no. 1 January, vol. 17, no. 1, pp. 565–572, 2021, doi: 10.35793/JTI.17.1.2022.35321.

Abdul Rashid, Rosalwani Che Soh, and Syed Azlan Sayed Hizar, “Internet, Wi-Fi lemah bebankan pelajar,” https://www.kosmo.com.my/2022/06/28/internet-wi-fi-lemah-bebankan-pelajar/, Jun. 28, 2022.

Mohd Yunus Yakkub, “Buka tingkap elak capaian Wi-Fi hilang,” https://www.kosmo.com.my/2022/06/28/buka-tingkap-elak-capaian-wi-fi-hilang/, Jun. 28, 2022.

Patrick Croak and Young Kim, “Understand Site Survey Guidelines for WLAN Deployment,” 2022. Accessed: Oct. 21, 2022. [Online]. Available: https://www.cisco.com/c/en/us/support/docs/wireless/5500-series-wireless-controllers/116057-site-survey-guidelines-wlan-00.html

Tony Ridzyowski, “WHY DO YOU NEED A WIRELESS SITE SURVEY?,” https://www.turn-keytechnologies.com/blog/article/why-do-you-need-a-wireless-site-survey/#:~:text=The%20survey%20identifies%20the%20ideal,negatively%20impact%20your%20WLAN%20connectivity.

R. Rawi, R. Mohd Isa, M. N. Ismail, A. Abu, B. Sajak, and A. Mustafa, “Preliminary study: The Readiness of WLAN Infrastructure at Malaysian Higher Education Institutes to Support Smart Campus Initiative,” JOIV : Int. J. Inform. Visualization, vol. 7, no. 3, pp. 945–951, Sep. 2023, doi: http://dx.doi.org/10.30630/joiv.7.3.1242.

Z. Zhang, X. Di, J. Tian, and P. Chen, “A WLAN planning method for indoor positioning system,” in International Conference on Information Networking, IEEE Computer Society, Mar. 2016, pp. 303–307. doi: 10.1109/ICOIN.2016.7427081.

Z. K. Farej and O. M. Ali, “On the evaluation of the IEEE 802.11ac WLAN performance with QoS deployment,” Indonesian Journal of Electrical Engineering and Computer Science, vol. 24, no. 3, 2021, doi: 10.11591/ijeecs.v24.i3.pp1618-1627.

Huawei Technologies Co., Ltd., Data Communications and Network Technologies. Springer Nature Singapore, 2023. doi: 10.1007/978-981-19-3029-4.

S. Zvanovec, P. Pechac, and M. Klepal, “Wireless LAN Networks Design: Site Survey or Propagation Modeling?,” RADIOENGINEERING, vol. 12, no. 4, 2003.

P. Liu, Q. Hu, K. Jin, G. Yu, and Z. Tang, “Toward the Energy-Saving Optimization of WLAN Deployment in Real 3-D Environment: A Hybrid Swarm Intelligent Method,” IEEE Syst J, Jun. 2021, doi: 10.1109/JSYST.2021.3065434.

M. A. Abd Rahman, C. E. Anak Bundak, and M. K. Abdul Karim, “Analysis of Multiple Prediction Techniques of Received Signal Strength to Reduce Surveying Effort in Indoor Positioning,” in Lecture Notes in Electrical Engineering, Springer Science and Business Media Deutschland GmbH, 2022, pp. 447–457. doi: 10.1007/978-981-19-2095-0_38.

H. D. Mohammadian, “IoT-education technologies as solutions towards smes’ educational challenges and I4.0 readiness,” IEEE Global Engineering Education Conference, EDUCON, vol. 2020-April, pp. 1674–1683, 2020, doi: 10.1109/EDUCON45650.2020.9125248.

Z. Zhang, X. Di, J. Tian, and Z. Zhu, “A multi-objective WLAN planning method,” International Conference on Information Networking, no. 2, pp. 86–91, 2017, doi: 10.1109/ICOIN.2017.7899482.

A. Skendzic, B. Kovacic, and L. Ljubicic, “Performance analysis of aruba wireless local network in croatian pension insurance institute,” in 2020 43rd International Convention on Information, Communication and Electronic Technology, MIPRO 2020 - Proceedings, Institute of Electrical and Electronics Engineers Inc., Sep. 2020, pp. 1397–1401. doi: 10.23919/MIPRO48935.2020.9245371.

S. K. Niranjan, V. N. M. Aradhya, Amity University, IEEE-USA, Institute of Electrical and Electronics Engineers. Uttar Pradesh Section, and Institute of Electrical and Electronics Engineers, Proceedings of the 2016 2nd International Conference on Contemporary Computing and Informatics (IC3I) : 14-17 December 2016, Noida, India.

R. Fontaine and P. Laurencot, “Mathematical model of the maximum throughput in infrastructure based wireless network.” [Online]. Available: http://www.isi.edu/nsnam/ns/.

V. Mityushev, W. Nawalaniec, and N. Rylko, Introduction to Mathematical Modeling and Computer Simulations. 2018.

Kavinesh S Radhakrishna, K. Y. Y. Y. S. Lee, K. M. Thiruvarasu, and S. T. Ng, “Study of Obstacles Effects on Mobile Network and WLAN Signal Strength,” International Journal of Electronics and Telecommunications, vol. 69, no. 1, pp. 155–161, 2023, doi: 10.24425/ijet.2023.144345.

M. Ahmed, R. A. Buhari, and A. Musa, “Impact of Household Construction Materials on Wi-Fi Signal,” IEEE Explore, 2019.

S. A. Baharudin, M. F. Zuhairi, and H. Dao, “IMPACT OF INTERFERENCE ON WIRELESS MESH NETWORK PERFORMANCE,” vol. 14, no. 7, 2019, [Online]. Available: www.arpnjournals.com

Y. Ma, X. Wang, Z. Quan, and H. V. Poor, “Data-Driven Measurement of Receiver Sensitivity in Wireless Communication Systems,” IEEE Transactions on Communications, vol. 67, no. 5, pp. 3665–3676, May 2019, doi: 10.1109/TCOMM.2019.2891708.