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Enabling Technologies and Techniques for Floor Identification

delete2024-10-07
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PRE
AI
I
Imran Ashraf
Y
Yousaf Bin Zikria
S
Sahil Garg
S
Soojung Hur
Y
Yongwan Park *
M
Mohsen Guizani
DOI:10.1145/3678878delete
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摘要

摘要

En 中文
Location information has initiated a multitude of applications such as location-based services, health care, emergency response and rescue operations, and assets tracking. A plethora of techniques and technologies have been presented to ensure enhanced location accuracy, both horizontal and vertical. Despite many surveys covering horizontal localization technologies, the literature lacks a comprehensive survey incorporating up-to-date vertical localization approaches. This article provides a detailed survey of different vertical localization techniques such as path loss models, time of arrival, received signal strength, reference signal received power, fingerprinting utilized by WiFi, radio-frequency identification (RFID), global system for mobile communications (GSM), long-term evolution (LTE), barometer, inertial measurement unit (IMU) sensors, and geomagnetic field. The article primarily aims at human localization in indoor environments using smartphones in essence. Besides the localization accuracy, the presented approaches are evaluated in terms of cost, infrastructure dependence, deployment complexity, and sensitivity. We highlight the pros and cons of these approaches and outline future research directions to enhance the accuracy to meet the future needs of floor identification standards set by the Federal Communications Commission.
Keyword:
POSITIONING SYSTEMS
LOCALIZATION
SMARTPHONES
LOCATION

期刊

ACM Computing Surveys 封面图
ACM Computing Surveys
IF:
28
论文数:
2.4K
被引数:
3.5W

机构

C
chitkara university, punjab
学者数:
2.4K
论文数: 2.3K
被引数: 3
Y
Yeungnam University
学者数:
1.0W
论文数: 1.3W
被引数: 1.4W
U
university of quebec
学者数:
2.0W
论文数: 1.9W
被引数: 19
V
victorian institute of teaching (vit)
学者数:
25
论文数: 27
被引数: 0
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