Trilateration Method for Estimating Location in RSSI-Based Indoor Positioning System Using Zigbee Protocol

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Published Apr 25, 2020
DOI https://doi.org/10.20895/infotel.v12i1.380

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Herryawan Pujiharsono
Institut Teknologi Telkom Purwokerto
Duwi Utami
Institut Teknologi Telkom Purwokerto
Rafina Destiarti Ainul
Universitas Surabaya

Abstract

Wireless network technology that is used today is developing rapidly because of the increase needed for location information of an object with high accuracy. Global Positioning System (GPS) is a technology to estimate the current location. Unfortunately, GPS has a lack of accuracy around 10 meters when used indoors. Therefore, it began to be developed with the concept of an indoor positioning system. This is a technology used to estimate the location of objects in a building by utilizing WSN (Wireless Sensor Network). The purpose of this study is to estimate the location of the unknown nodes in the lecturer room as objects and obtain the accuracy of the system being tested. The positioning process is based on the received signal strength (RSSI) on the unknown node using the ZigBee module. The trilateration method is used to estimate the unknown nodes located at the observation area based on the signal strength received at the time of testing. The result shows that the path loss coefficient value at the observation area was 0.9836 and the Mean Square Error of the test was 1.54 meters, which implies that the system can be a solution to the indoor GPS problem.

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How to Cite
[1]
H. Pujiharsono, D. Utami, and R. D. Ainul, “Trilateration Method for Estimating Location in RSSI-Based Indoor Positioning System Using Zigbee Protocol”, INFOTEL, vol. 12, no. 1, pp. 1-6, Apr. 2020.
Issue
Vol 12 No 1 (2020): February 2020
Section
Telecommunication
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References

[1] K. Moran, “Single Room Indoor Positioning System,” Dublin, 2014.
[2] W. Y. Swara, B. Rahmat, and R. Mayasari, “Perancangan Dan Implementasi Sistem Indoor Localization Berbasis Wireless Sensor Network Dengan Perangkat Zigbee,” e-Proceeding Eng., vol. 3, no. 3, pp. 1–7, 2016.
[3] A. Aryasena, R. V. H. Ginardi, and F. Baskoro, “Perancangan Indoor Localization Menggunakan Bluetooth Untuk Pelacakan Posisi Benda di Dalam Ruangan,” J. Tek. ITS, vol. 5, no. 2, pp. 326–330, 2016.
[4] I. Agustian, “Desain dan Implementasi Wifi Positioning System dengan Teknik Trilaterasion Dalam Perancangan Aplikasi Navigasi Indoor Secara Real Time,” Universitas Telkom, 2017.
[5] M. A. Amanaf, D. W. Brigitta, and R. D. Ainul, “Skema Penentuan Posisi Lingkungan Indoor untuk Aplikasi Monitoring Lokasi Dosen Berbasis Multilaterasi,” J. Nas. Tek. Elektro dan Teknol. Inf., vol. 8, no. 3, p. 266, 2019.
[6] J.-S. Lee, Y.-W. Su, and C.-C. Shen, “A Comparative Study of Wireless Protocols: Bluetooth, UWB, Zigbee, and Wi-Fi,” in The 33rd Annual Conference of the IEEE Industrial Electronics Society (IECON), 2007.
[7] A. M. Youssef and M. Youssef, “A Taxonomy of Localization Schemes for Wireless Sensor Networks.,” Icwn, no. January 2014, pp. 444–450, 2007.
[8] M. I. M. Ismail et al., “An RSSI-based Wireless Sensor Node Localisation using Trilateration and Multilateration Methods for Outdoor Environment,” 16-Dec-2019. [Online]. Available: http://arxiv.org/abs/1912.07801. [Accessed: 06-Jun-2020].
[9] N. A. Alrajeh, M. Bashir, and B. Shams, “Localization techniques in wireless sensor networks,” Int. J. Distrib. Sens. Networks, vol. 2013, no. June, 2013.
[10] N. F. Puspitasari, “Analisis Rssi ( Receive Signal Strength Indicator ) Terhadap Ketinggian Perangkat Wi-Fi Di Lingkungan Indoor,” J. Ilm. Dasi, vol. 15, no. 04, pp. 32–38, 2015.
[11] P. Kristalina, “PENGUKURAN JARAK ANTAR NODE MENGGUNAKAN X-Bee,” Politeknik Elektonika Negeri Surabaya. .
[12] N. Scholastica, “Pathloss Prediction Model of a Wireless Sensor Network in an Indoor Environment,” Int. J. Adv. Res. Electr. Electron. Instrum. Eng., vol. 3, no. 9, pp. 11665–11673, 2014.
[13] I. G. P. Astawa, “Skema Lokalisasi Posisi Node Terdistribusi pada Lingkungan Free Space Path Loss,” JNTETI, vol. 6, no. 3, pp. 352–358, 2017.
[14] A. R. Destiarti, P. Kristalina, and A. Sudarsono, “Mobile cooperative tracking with RSSI ranging in EKF algorithm for indoor wireless sensor network,” 2016 Int. Conf. Knowl. Creat. Intell. Comput. KCIC 2016, pp. 60–66, 2017.
[15] S. Nizam, “Node Positioning in ZigBee Network Using Trilateration Method Based on the Received Signal Strength Indicator ( RSSI ),” Eur. J. Sci. Res., vol. 46, no. 1, pp. 48–61, 2010.
[16] S. Wang et al., “System Implementation Study on RSSI based Positioning in UWB Networks,” Proc. 2010 7th Int. Symp. Wirel. Commun. Syst. ISWCS’10, pp. 36–40, 2010.