Abstract
<p class="AEEEAbstract">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.</p>
Highlights
In the last decade, the wireless sensing technology has led the development to implement the Radio Frequency Identification (RFID) in a wide range of application such as supply chain management [1], industrial automation [2], mining securities [3] and localization and tracking system [4]
We have studied the problem of localizing the tagged drone with the received signal strength (RSS) technique based on trilateration approach using 4 RFID readers and 8 RFID readers in indoor environment
The simulation results in the case of 8 RFID readers show more accurate results than 4 RFID readers by minimizing the localization error from 0.84606 to 0.40079 meter
Summary
The wireless sensing technology has led the development to implement the RFID in a wide range of application such as supply chain management [1], industrial automation [2], mining securities [3] and localization and tracking system [4]. The issue of a drone localization system that uses RFID tags in indoor environment has been one among the interesting topics for research. Et al [5], proposed an object tracking algorithm in an indoor environment, consisting of locating RFID reader with passive RFID tags used as landmarks in the environment. They used a hybrid method that combines PF and WCL to reduce. We study the problem of localization which can be used to localize the tagged drone using 4 and 8 RFID readers in indoor environment.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
