eprintid: 13946 rev_number: 2 eprint_status: archive userid: 1 dir: disk0/00/01/39/46 datestamp: 2023-11-10 03:28:30 lastmod: 2023-11-10 03:28:30 status_changed: 2023-11-10 01:52:22 type: article metadata_visibility: show creators_name: Rohmat Rose, N.D. creators_name: Jung, L.T. creators_name: Ahmad, M. title: 3D trilateration localization using RSSI in indoor environment ispublished: pub keywords: Radio frequency identification (RFID), 3D localization; Indoor environment; Indoor localization; Indoor localization systems; Indoor positioning system; Localisation; Localization errors; Outdoor localizations; Received signal strength indicators; Trilateration, Indoor positioning systems note: cited By 9 abstract: Received Signal Strength Indicator (RSSI) is one of the most popular technique for outdoor and indoor localization. There are many previous researches on RSSI-based indoor localization systems. However, most of them lack a solid classification method that reduce localization errors with better accuracy. This paper will focus on indoor localization methods to provide a technological perspective of indoor positioning systems. This paper proposes an indoor localization by using 3D trilateration method to locate target tags from RFID readers that used RSSI measurements for range determination. There will be six test cases for each reader. This system can track any target within the selected area with less localization error. © Science and Information Organization. date: 2020 publisher: Science and Information Organization official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081217040&partnerID=40&md5=61b56c99f3328417ad582369973eec27 full_text_status: none publication: International Journal of Advanced Computer Science and Applications number: 2 pagerange: 385-391 refereed: TRUE issn: 2158107X citation: Rohmat Rose, N.D. and Jung, L.T. and Ahmad, M. (2020) 3D trilateration localization using RSSI in indoor environment. International Journal of Advanced Computer Science and Applications (2). pp. 385-391. ISSN 2158107X