DOI: https://doi.org/10.14710/jtsiskom.7.4.2019.154-160

Studi komparatif empat model propagasi empiris dalam ruangan untuk jaringan nirkabel kampus

Comparative study of four indoor empirical propagation models for campus wireless network

*Fransiska Sisilia Mukti  -  Department of Informatics, STMIK Asia Malang, Indonesia
Received: 6 May 2019; Revised: 11 Sep 2019; Accepted: 18 Sep 2019; Published: 31 Oct 2019; Available online: 3 Oct 2019.
Fulltext |
Open Access Copyright (c) 2019 Jurnal Teknologi dan Sistem Komputer
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Citation Format:
Abstract
Propagation is one of the important factors to understand in wireless communication systems. Prediction of the value of propagation, especially for closed areas, is very necessary to determine success in building wireless networks. Various kinds of propagation modeling were developed to find the best approach to calculate the value of signal losses. A comparative study of 4 types of empirical propagation modeling was made to provide the most suitable propagation modeling analysis for campus wireless networks. The ITU-R model (P.1238) provides predictive results that are closest to the actual data in the field, with a relative error rate of 16.381%.
Keywords: propagation; wireless network; indoor; campus network
Funding: STMIK Asia Malang, Indonesia

Article Metrics:

Article Info
Section: Original Research Articles
Language : ID
Statistics: 522 190
Share:
Related articles
Neural network performance based on backpropagation and LVQ as the LoRa RSS fingerprint algorithms for positioning in an open space Prediction of Call Drops in GSM Network using Artificial Neural Network Classification of potential blood donors using machine learning algorithms approach Perancangan Protokol Komunikasi untuk JSN (Jaringan Sensor Nirkabel) pada Kampus Hijau Web-based Network Monitoring Tools Using SNMP Protocol and SMS Notification More related articles
Most cited articles
Web Monitoring System of pH Level, Temperature and Color on River Water using Wireless Sensor Network Perancangan Aplikasi Multimedia Untuk Pembelajaran Gerbang Logika Menggunakan Augmented Reality Mobile Application of Expert System for Meningitis Early Diagnosis Web Application of Lecturer Performance Assesment on Teaching Process: A Case Study at Internal Quality Assurance Agency of Institut Teknologi Padang Perancangan Jaringan Sensor Terdistribusi untuk Pengaturan Suhu, Kelembaban dan Intensitas Cahaya More cited articles
  1. M. Morocho-yaguana, P. Lude, F. Sandoval, B. Poma-velez, and A. Erreyes-dota, “An optimized propagation model based on measurement data for indoor environments,” Journal of Telecommunication and Information Technology, vol. 2, pp. 69–75, 2018. doi: 10.26636/jtit.2018.117217
  2. J. C. Stein, “Indoor radio WLAN performance part II : range performance in a dense office environment,” Intersil Corporation, 1998
  3. M. Luo, “Indoor radio propagation modeling for system performance prediction,” thesis, INSA de Lyon, France, 2013
  4. F. Agren, “Indoor radio propagation modelling with antenna placement optimization,” thesis, Lund University, Sweden, 2017
  5. P. Thu, Z. Tun, and A. S. Hlaing, “Modification of propagation prediction model for 2.4 GHz indoor wireless environment,” in International Conference on Advances in Engineering and Technology, Singapore, Mar. 2014, pp. 360–364. doi: 10.15242/IIE.E0314173
  6. S. Y. Yeong, W. Al-Salihy, and T. C. Wan, “Indoor WLAN monitoring and planning using empirical and theoretical propagation models,” in the 2nd International Conference on Network Applications, Protocols and Services, Kedah, Malaysia, Sept. 2010, pp. 165–169. doi: 10.1109/NETAPPS.2010.36
  7. M. O. Omae, E. N. Ndungu, P. L. Kibet, and H. Tarus, “Artificial intelligence approach to signal propagation modeling for outdoor to indoor wireless communication networks ; a proposed study,” in the Mechanical Engineering Conference on Sustainable Research and Innovation, Nairobi, Kenya, May 2012, pp. 289-299
  8. F. J. Carlos Vesga, H. Martha Fabiola Contreras, and B. Jose Antonio Vesga, “Design of empirical propagation models supported in the log-normal shadowing model for the 2.4GHz and 5GHz bands under indoor environments,” Indian Journal of Science & Technology, vol. 11, no. 22, pp. 1-18, 2018. doi: 10.17485/ijst/2018/v11i22/122149
  9. S. Zvanovec, P. Pechac, and M. Klepal, “Wireless LAN networks design: site survey or propagation modeling?,” Radioengineering, vol. 12, no. 4, pp. 42-49, 2003
  10. F. S. Mukti and D. A. Sulistyo, “Analisis penempatan access point pada jaringan wireless lan stmik asia malang menggunakan one slope model,” Jurnal Ilmiah Teknologi Informasi Asia, vol. 13, no. 1, pp. 13-22, 2018
  11. B. R. Jadhavar and T. R. Sontakke, “2.4 GHz propagation prediction models for indoor wireless communications within building,” International Journal of Soft Computing and Engineering, vol. 2, no. 3, pp. 108-113, 2012
  12. A. R. Sandeep, Y. Shreyas, S. Seth, R. Agarwal, and G. Sadashivappa, “Wireless network visualization and indoor empirical propagation model for a campus Wi-fi network,” World Academy of Science, Engineering and Technology, vol. 18, pp. 730-734, 2009
  13. D. Akin et al., Certified wireless network administrator official study guide. Bremen Georgia: Planet3 Wireless Inc., 2002
  14. M. A. Amanaf, E. S. Nugraha, and D. Kurnianto, “Analisis simulasi model cost-231 multiwall pathloss indoor berbasis wireless sensor network pada aplikasi absensi mahasiswa dengan tag RFID menggunakan RPS (radiowave propagation simulator),” Buletin Pos dan Telekomunikasi, vol. 16, no. 1, pp. 17-26, 2018. doi: 10.17933/bpostel.2018.160102
  15. Propagation data and prediction methods for the planning of indoor radio communication systems and the radio local area networks in the frequency range 900 MHz to 100 GHz, ITU-R Recommendations, Geneva, 2001
  16. J. Butler et al., Wireless networking in the developing world, 3rd Edition. Copenhagen: BbookSprint, 2013
  17. L. TP-Link Technologies Co, “Access point TL-WA701ND specification,” 2019. [Online]. Available: https://www.tp-link.com/id/home-networking/access-point/tl-wa701nd/#specifications
  18. L. TP-Link Technologies Co, “Access point Archer C7 specification,” 2019
  19. Ubiquiti Networks, “UniFi dataSheet,” Ubiquiti Nteworks, Inc., 2016
  20. Y. Chapre, P. Mohapatra, S. Jha, and A. Seneviratne, “Received signal strength indicator and its analysis in a typical WLAN system,” in IEEE Conference on Local Computer Networks, Sidney, Australia, Oct. 2013, pp. 304-307. doi: 10.1109/LCN.2013.6761255

Last update: 2021-03-07 13:57:00

No citation recorded.

Last update: 2021-03-07 13:57:02

No citation recorded.
Copyright (c) 2019 Jurnal Teknologi dan Sistem Komputer
Creative Commons License This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Starting in 2021, the author(s) whose article is published in the JTSiskom journal attain the copyright for their article. By submitting the manuscript to JTSiskom, the author(s) agree with this policy. No special document approval is required.

The author(s) guarantee that their article is original, written by the mentioned author(s), has never been published before, does not contain statements that violate the law, does not violate the rights of others, is subject to copyright that is held exclusively by the author(s), and is free from the rights of third parties, and that the necessary written permission to quote from other sources has been obtained by the author(s).

The author(s) retain all rights to the published work, such as (but not limited to) the following rights:

  • Copyright and other proprietary rights related to articles, such as patents,
  • The right to use the substance of the article in its own future works, including lectures and books,
  • The right to reproduce articles for its own purposes,
  • The right to archive articles yourself (please read our deposit policy), and
  • The right to enter into separate additional contractual arrangements for the non-exclusive distribution of published versions of articles (for example, posting them to institutional repositories or publishing them in a book), with acknowledgment of its initial publication in this journal (Journal of Technology and Computer Systems).

If the article was prepared jointly by more than one author, each author submitting the manuscript warrants that they have been given permission by all co-authors to agree to copyright and license notices (agreements) on their behalf, and agree to notify the co-authors of the terms of this policy. JTSiskom will not be held responsible for anything that may arise because of the writer's internal dispute. JTSiskom will only communicate with correspondence authors.

Authors should also understand that once published, their articles (and any additional files, including data sets, and analysis/computation data) will become publicly available. The license of published articles (and additional data) will be governed by the Creative Commons Attribution license as currently featured on the Creative Commons Attribution-ShareAlike 4.0 International License. JTSiskom allows users to copy, distribute, display and perform work under license. Users need to attribute the author(s) and JTSiskom to distribute works in journals and other publication media. Unless otherwise stated, the author(s) is a public entity as soon as the article is published.