Indoor Localization Systems for Passive Uhf Rfid Tag Based on Rssi Radio Map Database

Omer, Mohamed I.; Ran, Yachao; Tian, Gui Yun

doi:10.2528/pierm18082904

Cited by 5 publications

(6 citation statements)

References 23 publications

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“…In this context, numerous studies have been conducted to evaluate the performance of different technologies faced with different challenges. Table 1 shows the performance of different technologies in different scenarios according to [17][18][19][20][21][22][23]. In [17], the authors conducted a comparative analysis between trilateration and min-max approaches.…”

Section: Related Workmentioning

confidence: 99%

A Self-Localization Algorithm for Mobile Targets in Indoor Wireless Sensor Networks Using Wake-Up Media Access Control Protocol

Souissi,

Sahnoun,

Baazaoui

et al. 2024

Sensors

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Indoor localization of a mobile target represents a prominent application within wireless sensor network (WSN), showcasing significant values and scientific interest. Interference, obstacles, and energy consumption are critical challenges for indoor applications and battery replacements. A proposed tracking system deals with several factors such as latency, energy consumption, and accuracy presenting an innovative solution for the mobile localization application. In this paper, a novel algorithm introduces a self-localization algorithm for mobile targets using the wake-up media access control (MAC) protocol. The developed tracking application is based on the trilateration technique with received signal strength indication (RSSI) measurements. Simulations are implemented in the OMNeT++ discrete event simulator using the C++ programming language, and the RSSI values introduced are based on real indoor measurements. In addition, a determination approach for finding the optimal parameters of RSSI is assigned to implement for the simulation parameters. Simulation results show a significant reduction in power consumption and exceptional accuracy, with an average error of 1.91 m in 90% of cases. This method allows the optimization of overall energy consumption, which consumes only 2.69% during the localization of 100 different positions.

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Section: Related Workmentioning

confidence: 99%

A Self-Localization Algorithm for Mobile Targets in Indoor Wireless Sensor Networks Using Wake-Up Media Access Control Protocol

Souissi,

Sahnoun,

Baazaoui

et al. 2024

Sensors

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“…In [33], Omer et al proposed the indoor localization system using the UHF radio frequency identification (RFID). Unfortunately, it needs to allocate a lot of reader antennas for use in a conventional field with several rooms; their label just attached on the coat or other objects, they did not attach on the human body.…”

Section: Related Workmentioning

confidence: 99%

A Proposal of the Fingerprint Optimization Method for the Fingerprint-Based Indoor Localization System with IEEE 802.15.4 Devices

et al. 2022

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Nowadays, human indoor localization services inside buildings or on underground streets are in strong demand for various location-based services. Since conventional GPS cannot be used, indoor localization systems using wireless technologies have been extensively studied. Previously, we studied a fingerprint-based indoor localization system using IEEE802.15.4 devices, called FILS15.4, to allow use of inexpensive, tiny, and long-life transmitters. However, due to the narrow channel band and the low transmission power, the link quality indicator (LQI) used for fingerprints easily fluctuates by human movements and other uncontrollable factors. To improve the localization accuracy, FILS15.4 restricts the detection granularity to one room in the field, and adopts multiple fingerprints for one room, considering fluctuated signals, where their values must be properly adjusted. In this paper, we present a fingerprint optimization method for finding the proper fingerprint parameters in FILS15.4 by extending the existing one. As the training phase using the measurement LQI, it iteratively changes fingerprint values to maximize the newly defined score function for the room detecting accuracy. Moreover, it automatically increases the number of fingerprints for a room if the accuracy is not sufficient. For evaluations, we applied the proposed method to the measured LQI data using the FILS15.4 testbed system in the no. 2 Engineering Building at Okayama University. The validation results show that it improves the average detection accuracy (at higher than 97%) by automatically increasing the number of fingerprints and optimizing the values.

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“…This means that each chip's clock oscillates with a difference of only a few parts per million. The influence is, nevertheless, so immense that such a measurement result would not be reliable [29,6].…”

Section: B Platformmentioning

confidence: 99%

“…In addition to the direct path, two doors with a depth of 65mm were closed and a wooden barrier with a thickness of 40mm was installed for the SS-TWR. The measurements and the calculated diagnostic parameters are displayed in table 6.…”

Section: Nlos Identificationmentioning

confidence: 99%

Evaluation of Ultra Wide Band Technology as an Enhancement for BLE Based Location Estimation

Bilge¹

2022

Preprint

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In the scope of this paper, the precise positioning of objects with the help of Ultra Wide Band technology is evaluated. To achieve this, a prototype module for the use with the Decawave transceiver DW1000 was implemented and added to FruityMesh, an Internet of Things (IoT) mesh network of the company M-Way Solutions. The focus of the network is low-power communication based on Bluetooth Low Energy (BLE). This includes, for example, Building Automation, Lighting Management and Asset Tracking. Especially the last stated point benefits from a position tracking as precise as possible and a long battery life. Therefore, FruityMesh is used to perform a signalstrength based localization with the existing BLE messages. Due to absorption, interference, and diffraction, these measurements tend to fluctuate and allow a positioning accuracy within ±1.5m. With the integration of Ultra Wide Band and the Time of Arrival (ToA) method, a centimeter-precise localization was made possible in the course of this work, which at the same time causes only small additional costs in general. Since the connection of extra hardware is associated with decreased energy efficiency, an algorithm for optimizing the control was first developed and then tested against the created scenarios. In addition to the motion-based control of the hardware, various configurations and adjustments were analyzed to reduce the power consumption by Ultra-Wideband (UWB) transmission. Finally, the developed prototype was compared with a realistic reproduction of the existing Asset Tracking to evaluate the benefits for the use in the productive application.

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Indoor Localization Systems for Passive Uhf Rfid Tag Based on Rssi Radio Map Database

Cited by 5 publications

References 23 publications

A Self-Localization Algorithm for Mobile Targets in Indoor Wireless Sensor Networks Using Wake-Up Media Access Control Protocol

A Self-Localization Algorithm for Mobile Targets in Indoor Wireless Sensor Networks Using Wake-Up Media Access Control Protocol

A Proposal of the Fingerprint Optimization Method for the Fingerprint-Based Indoor Localization System with IEEE 802.15.4 Devices

Evaluation of Ultra Wide Band Technology as an Enhancement for BLE Based Location Estimation

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