A Review on Wireless Emerging IoT Indoor Localization


Kordi, Khaldon Azzam and Alhammadi, Abdulraqeb Shaif Ahmed and Roslee, Mardeni and Alias, Mohamad Yusoff and Abdullah, Qazwan (2020) A Review on Wireless Emerging IoT Indoor Localization. In: 2020 IEEE 5th International Symposium on Telecommunication Technologies (ISTT), 9 November 2020, Virtual Conference, Kuala Lumpur, Malaysia.

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Indoor localization has become the focus of several research studies in recent years. It is very prominent in a wide range of services, such as location-based services. The indoor localization system is a part of the Internet of Thing (IoT) framework, which provides real-time tracking and monitoring solution. This research study aims to provide an update on the recently proposed localization systems. In this paper, localization techniques and emerging technologies are discussed and highlighted their strength and weakness. Different proposed systems are discussed and evaluated based on accuracy, robustness, scalability, complexity, and cost. This survey provides the researcher’s guideline and an excellent platform to further their research in indoor localization.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Mobile nodes, Optimization, Sensors, Machine learning algorithms Wireless communication, Deep learning, Fingerprint recognition
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 12 Oct 2021 04:54
Last Modified: 12 Oct 2021 07:37
URII: http://shdl.mmu.edu.my/id/eprint/8533


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