Mobile Drone Localization in Indoor Environment Based on Passive RFID

Authors

  • Mohamed Hadi Habaebi Department of Electrical and Computer Engineering, Faculty of Engineering, International Islamic University Malaysia, Jln Gombak, KL, Malaysia
  • Rashid Omar Khamis Department of Electrical and Computer Engineering, Faculty of Engineering, International Islamic University Malaysia, Jln Gombak, KL, Malaysia
  • Md Rafiqul Islam Department of Electrical and Computer Engineering, Faculty of Engineering, International Islamic University Malaysia, Jln Gombak, KL, Malaysia

DOI:

https://doi.org/10.3991/ijim.v14i05.13309

Keywords:

RFID, Indoor Localization, Trilateration, Received Signal Strength.

Abstract


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. RSS-based 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.

Author Biographies

Mohamed Hadi Habaebi, Department of Electrical and Computer Engineering, Faculty of Engineering, International Islamic University Malaysia, Jln Gombak, KL, Malaysia

Department of Electrical and Computer Engineering, Faculty of Engineering

Rashid Omar Khamis, Department of Electrical and Computer Engineering, Faculty of Engineering, International Islamic University Malaysia, Jln Gombak, KL, Malaysia

Department of Electrical and Computer Engineering, Faculty of Engineering, International Islamic University Malaysia

Md Rafiqul Islam, Department of Electrical and Computer Engineering, Faculty of Engineering, International Islamic University Malaysia, Jln Gombak, KL, Malaysia

Department of Electrical and Computer Engineering, Faculty of Engineering, International Islamic University Malaysia

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Published

2020-04-07

How to Cite

Habaebi, M. H., Omar Khamis, R., & Islam, M. R. (2020). Mobile Drone Localization in Indoor Environment Based on Passive RFID. International Journal of Interactive Mobile Technologies (iJIM), 14(05), pp. 4–15. https://doi.org/10.3991/ijim.v14i05.13309

Issue

Vol. 14 No. 05 (2020)

Section

Papers

License

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