An efficient magnetic localization system for indoor planar mobile robot

Hu, Chao; Zhao, Feng; Ren, Yupeng; Chen, Yueyue; Haixiang, Lin; Wang, Kai; Xu, Xiaodong; Bao, Jingjing

doi:10.1109/chicc.2015.7260399

Cited by 7 publications

(2 citation statements)

References 11 publications

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“…A small permanent magnet was added to the capsule to create a permanent magnetic field in the patient and the capsule position is then determined by an external sensor. C. Hu, Z et al proposed a two-dimensional magnetic induction positioning system for a domestic robot with base station coils mounted on the ceiling, and because the height was fixed in this scenario, only one set of coils had to be used for the base station (Hu et al, 2015). T. Li and L. Chen investigated evolutionary clustering to improve the quality of clusters for moving objects .H.…”

Section: Introductionmentioning

confidence: 99%

Distributed learning, optimization, and control methods for future power grids

2024

Frontiers Research Topics

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Frontiers is more than just an open access publisher of scholarly articles: it is a pioneering approach to the world of academia, radically improving the way scholarly research is managed. The grand vision of Frontiers is a world where all people have an equal opportunity to seek, share and generate knowledge. Frontiers provides immediate and permanent online open access to all its publications, but this alone is not enough to realize our grand goals. Frontiers journal seriesThe Frontiers journal series is a multi-tier and interdisciplinary set of openaccess, online journals, promising a paradigm shift from the current review, selection and dissemination processes in academic publishing. All Frontiers journals are driven by researchers for researchers; therefore, they constitute a service to the scholarly community. At the same time, the Frontiers journal series operates on a revolutionary invention, the tiered publishing system, initially addressing specific communities of scholars, and gradually climbing up to broader public understanding, thus serving the interests of the lay society, too. Dedication to qualityEach Frontiers article is a landmark of the highest quality, thanks to genuinely collaborative interactions between authors and review editors, who include some of the world's best academicians. Research must be certified by peers before entering a stream of knowledge that may eventually reach the public -and shape society; therefore, Frontiers only applies the most rigorous and unbiased reviews. Frontiers revolutionizes research publishing by freely delivering the most outstanding research, evaluated with no bias from both the academic and social point of view. By applying the most advanced information technologies, Frontiers is catapulting scholarly publishing into a new generation. What are Frontiers Research Topics?Frontiers Research Topics are very popular trademarks of the Frontiers journals series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area.

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Section: Introductionmentioning

confidence: 99%

Distributed learning, optimization, and control methods for future power grids

2024

Frontiers Research Topics

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Section: Introductionmentioning

confidence: 99%

Design of AUVs based on 3D coils positioning and distributed base station control for nuclear spent fuel pools

et al. 2023

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An underwater magnetic induction positioning and communication system and an energy-efficient distributed control algorithm for underwater base stations are proposed in this paper. The positioning and communication system consists of a number of base stations and an Autonomous Underwater Vehicle (AUV) equipped with three-axis source coils respectively. The AUV receives this signal and based on its amplitude and phase information is able to locate the AUV and communicate with the base station. Due to the short positioning distance of magnetic induction positioning technology, a large number of base stations need to be installed underwater, which puts high demands on the control of the base stations. In this paper, an energy-efficient distributed control algorithm for underwater base stations is proposed to enable the AUV to meet the operational requirements while minimizing the total energy consumption of the base station. According to the simulation results, the design solves the problem that traditional underwater positioning and communication equipment cannot work stably for long periods of time in a high radiated environment, with a positioning error of no more than 10 cm within a preset operating range, and the algorithm proposed in this paper is able to reduce energy wastage by about 20%.

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Indoor location identification technologies for real-time IoT-based applications: An inclusive survey

Oguntala

Abd‐Alhameed

Jones

et al. 2018

Computer Science Review

108

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The advent of the Internet of Things has witnessed tremendous success in the application of wireless sensor networks and ubiquitous computing for diverse smart-based applications. The developed systems operate under different technologies using different methods to achieve their targeted goals. In this treatise, we carried out an inclusive survey on key indoor technologies and techniques, with to view to explore their various benefits, limitations, and areas for improvement. The mathematical formulation for simple localization problems is also presented. In addition, an empirical evaluation of the performance of these indoor technologies is carried out using a common generic metric of scalability, accuracy, complexity, robustness, energy-efficiency, cost and reliability. An empirical evaluation of performance of different RF-based technologies establishes the viability of Wi-Fi, RFID, UWB, Wi-Fi, Bluetooth, ZigBee, and Light over other indoor technologies for reliable IoT-based applications. Furthermore, the survey advocates hybridization of technologies as an effective approach to achieve reliable IoT-based indoor systems. The findings of the survey could be useful in the selection of appropriate indoor technologies for the development of reliable real-time indoor applications. The study could also be used as a reliable source for literature referencing on the subject of indoor location identification.

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An efficient magnetic localization system for indoor planar mobile robot

Cited by 7 publications

References 11 publications

Distributed learning, optimization, and control methods for future power grids

Distributed learning, optimization, and control methods for future power grids

Design of AUVs based on 3D coils positioning and distributed base station control for nuclear spent fuel pools

Indoor location identification technologies for real-time IoT-based applications: An inclusive survey

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