Mobile drone localization in indoor environment based on passive RFID
Radio Frequency Identification (RFID) is an information exchange technology based on RF communication. It provides solution to track and localize mobile objects in the indoor environment. Localization of mobile objects in an indoor environment garnered a significant attention due to the variety...
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| Format: | Article |
| Language: | English |
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International Association of Online Engineering Austria
2020
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/79874/ http://irep.iium.edu.my/79874/7/79874_Mobile%20drone%20localization%20in%20indoor%20environment%20based%20on%20passive%20RFID.pdf |
| _version_ | 1848788862113939456 |
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| author | Habaebi, Mohamed Hadi Omar, Rashid Khamis Islam, Md Rafiqul |
| author_facet | Habaebi, Mohamed Hadi Omar, Rashid Khamis Islam, Md Rafiqul |
| author_sort | Habaebi, Mohamed Hadi |
| building | IIUM Repository |
| collection | Online Access |
| description | Radio Frequency Identification (RFID) is an information
exchange technology based on RF communication. It provides solution to track
and localize mobile objects in the indoor environment. Localization of mobile
objects in an indoor environment garnered a significant attention due to the
variety of applications needing higher degree of localization accuracy. RSSbased localization techniques are the major tools for tracking applications due to
their simplicity. In this paper, a trilateration method for indoor localization is
proposed. This method provides a solution for the drone tracking problem by
collecting the RSS values between RFID tagged drone and reader, and estimate
its location. The localization method is implemented in MATLAB by multiple
readers; 4 RFID readers and 8 RFID readers. The performance of the localization
method is also compared with other RFID localization previously reported in the
literature. The simulation results in the case of 8 RFID readers demonstrate more
accurate results than 4 RFID readers by minimizing the localization error from
0.84606 to 0.40079m. The results also indicate an improved localization
performance of tracking a tagged drone in indoor environment by 42.8% when
8RFID readers are placed in the localization area. |
| first_indexed | 2025-11-14T17:47:34Z |
| format | Article |
| id | iium-79874 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T17:47:34Z |
| publishDate | 2020 |
| publisher | International Association of Online Engineering Austria |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-798742025-01-21T13:24:20Z http://irep.iium.edu.my/79874/ Mobile drone localization in indoor environment based on passive RFID Habaebi, Mohamed Hadi Omar, Rashid Khamis Islam, Md Rafiqul TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Radio Frequency Identification (RFID) is an information exchange technology based on RF communication. It provides solution to track and localize mobile objects in the indoor environment. Localization of mobile objects in an indoor environment garnered a significant attention due to the variety of applications needing higher degree of localization accuracy. RSSbased localization techniques are the major tools for tracking applications due to their simplicity. In this paper, a trilateration method for indoor localization is proposed. This method provides a solution for the drone tracking problem by collecting the RSS values between RFID tagged drone and reader, and estimate its location. The localization method is implemented in MATLAB by multiple readers; 4 RFID readers and 8 RFID readers. The performance of the localization method is also compared with other RFID localization previously reported in the literature. The simulation results in the case of 8 RFID readers demonstrate more accurate results than 4 RFID readers by minimizing the localization error from 0.84606 to 0.40079m. The results also indicate an improved localization performance of tracking a tagged drone in indoor environment by 42.8% when 8RFID readers are placed in the localization area. International Association of Online Engineering Austria 2020-04-01 Article PeerReviewed application/pdf en http://irep.iium.edu.my/79874/7/79874_Mobile%20drone%20localization%20in%20indoor%20environment%20based%20on%20passive%20RFID.pdf Habaebi, Mohamed Hadi and Omar, Rashid Khamis and Islam, Md Rafiqul (2020) Mobile drone localization in indoor environment based on passive RFID. International Journal of Interactive Mobile Technologies (iJIM), 14 (5). pp. 1-12. E-ISSN 1865-7923 https://www.online-journals.org/index.php/i-jim/index 10.3991/ijim.v14i05.13309 |
| spellingShingle | TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices Habaebi, Mohamed Hadi Omar, Rashid Khamis Islam, Md Rafiqul Mobile drone localization in indoor environment based on passive RFID |
| title | Mobile drone localization in indoor environment based
on passive RFID |
| title_full | Mobile drone localization in indoor environment based
on passive RFID |
| title_fullStr | Mobile drone localization in indoor environment based
on passive RFID |
| title_full_unstemmed | Mobile drone localization in indoor environment based
on passive RFID |
| title_short | Mobile drone localization in indoor environment based
on passive RFID |
| title_sort | mobile drone localization in indoor environment based
on passive rfid |
| topic | TK7800 Electronics. Computer engineering. Computer hardware. Photoelectronic devices |
| url | http://irep.iium.edu.my/79874/ http://irep.iium.edu.my/79874/ http://irep.iium.edu.my/79874/ http://irep.iium.edu.my/79874/7/79874_Mobile%20drone%20localization%20in%20indoor%20environment%20based%20on%20passive%20RFID.pdf |