UWB Localization Procedures with Range Control Methods—A Review

VenkataLakshmi, Y.; Singh, Parulpreet

doi:10.1007/978-981-19-5550-1_29

Cited by 3 publications

(1 citation statement)

References 28 publications

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“…This paper emphasizes the review of UWB indoor tag localization so that we compare it directly with the review paper of UWB indoor tag localization. There are 4 related papers proposed by Fazeelat Mazhar [22], Sixto Campaña-Bastidas [33], Junwei Qu [37], and Venkata [36]. A survey paper using UWB indoor positioning was proposed by Fazhar et al [22] which explains the method, algorithm, and implementation as well as compares positioning using UWB and narrow band signals.…”

Section: Thismentioning

confidence: 99%

Future Research and Trends in Ultra-Wideband Indoor Tag Localization

Hapsari,

Munadi,

Erfianto

et al. 2024

IEEE Access

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Indoor tag localization technology is one area of research applied to positioning, tracking, and navigation. UWB is a signal that is widely used for indoor tag localization with the consideration of having higher accuracy, wide bandwidth, and low power consumption. The diversity and breadth of research in the field of indoor tag localization can be confusing for new researchers to find out how this research has progressed until this day. The use of other sensors besides UWB in indoor tag localization is an alternative solution offered, thus obscuring the trend of UWB research on indoor tag localization. The way to find out whether indoor tag localization research using UWB still has a good trend and has research opportunities is to read paper reviews from previous researchers. However, until now no one has reviewed the previous paper review using the SMS and SLR methods. The SMS method is quantitative which directs the paper collection to the intended research area so it can be mapped properly. SMS is the process of identifying, categorizing, and analyzing existing literature that is relevant to a certain research topic. Meanwhile, the SLR method is qualitative which makes paper discussions sharper and more focused. SLR is the process of collecting and critically analyzing multiple research studies or papers through a systematic process. It aims to synthesize the findings of the studies and conclude the state of the art on the topic. This paper describes the literacy results of the paper using the SMS and SLR methods to thoroughly discuss research developments on UWB indoor tag localization. The discussion includes research developments and topic areas of indoor tag localization from 2017-2022, trends in the use of UWB in indoor tag localization research, issues and metrics that are carried out in indoor tag localization research, and opportunities for future research. Literacy results show that machine learning, filtering, and sensor fusion are topic areas that are currently being researched on UWB indoor tag localization. In general, every research optimizes performance metrics, namely accuracy, scalability, energy efficiency, latency, cost, and complexity. Each optimized metric related to different issues will be represented in the form of a taxonomy for easy understanding and explained in detail in this paper. Several future promising research opportunities are described in this paper to provide insight to other researchers to dig deeper into this research field.

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Section: Thismentioning

confidence: 99%

Future Research and Trends in Ultra-Wideband Indoor Tag Localization

Hapsari,

Munadi,

Erfianto

et al. 2024

IEEE Access

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IoT-enabled smart cities: a hybrid systematic analysis of key research areas, challenges, and recommendations for future direction

Omrany,

Al-Obaidi,

Hossain

et al. 2024

Discov Cities

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Cities are expected to face daunting challenges due to the increasing population in the near future, putting immense strain on urban resources and infrastructures. In recent years, numerous studies have been developed to investigate different aspects of implementing IoT in the context of smart cities. This has led the current body of literature to become fairly fragmented. Correspondingly, this study adopts a hybrid literature review technique consisting of bibliometric analysis, text-mining analysis, and content analysis to systematically analyse the literature connected to IoT-enabled smart cities (IESCs). As a result, 843 publications were selected for detailed examination between 2010 to 2022. The findings identified four research areas in IESCs that received the highest attention and constituted the conceptual structure of the field. These include (i) data analysis, (ii) network and communication management and technologies, (iii) security and privacy management, and (iv) data collection. Further, the current body of knowledge related to these areas was critically analysed. The review singled out seven major challenges associated with the implementation of IESCs that should be addressed by future studies, including energy consumption and environmental issues, data analysis, issues of privacy and security, interoperability, ethical issues, scalability and adaptability as well as the incorporation of IoT systems into future development plans of cities. Finally, the study revealed some recommendations for those interconnected challenges in implementing IESCs and effective integrations within policies to support net-zero futures.

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