SmartFinder: Cloud-based Self Organizing Localization for Mobile Smart Devices in Large-scale Indoor Facility

被引：0

作者：

Kitanouma, Takamasa ^{[1
]}

Nii, Eiji ^{[1
]}

Adachi, Naotoshi ^{[2
]}

Takizawa, Yasuhisa ^{[2
]}

机构：

[1] Kansai Univ, Grad Sch Sci & Engn, Osaka, Japan

[2] Kansai Univ, Fac Environm & Urban Engn, Osaka, Japan

来源：

2017 GLOBAL INTERNET OF THINGS SUMMIT (GIOTS 2017) | 2017年

关键词：

Tracking; Localization; Smart Devices; Self-Organizing Maps;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In large-scale indoor facilities such as airports, train stations, factories, and hospitals, the locations of mobile smart devices provide important information for grasping the activity state of people and the utilization state of things. Consequently, many indoor localization systems for people and things have been proposed. However, such systems require a large amount of localization equipment or advanced measurements of environmental physical characteristics, and thus they strongly depend on the infrastructure for localization. In this paper, we propose SmartFinder as a solution with extremely low dependence on the infrastructure. This localization system applies our previously proposed Cloud-based Self-Organizing Localization to mobile smart devices, such as smartphones carried by people and BLE devices attached to things. SmartFinder can track the location of many mobile smart devices with only three anchor nodes and in real time.

引用

页码：201 / 206

页数：6

共 50 条

[21] Towards large-scale cloud-based emergency management simulation simgenis revisited
1600, Springer Verlag (196):
[22] Towards Large-Scale Cloud-Based Emergency Management Simulation "SimGenis Revisited"
Labba, Chahrazed
Ben Saoud, Narjes Bellamine
Chine, Karim
INFORMATION SYSTEMS FOR CRISIS RESPONSE AND MANAGEMENT IN MEDITERRANEAN COUNTRIES, 2014, 196 : 13 - 20
[23] A Resilient Large-Scale Trajectory Index for Cloud-Based Moving Object Applications
Alqahtani, Omar
Altman, Tom
APPLIED SCIENCES-BASEL, 2020, 10 (20): : 1 - 26
[24] Cloud-based Self-Organizing Localization for Wireless Sensor Networks in Mixture Environments of LOS and NLOS
Kitanouma, Takamasa
Takashima, Yuto
Adachi, Naotoshi
Takizawa, Yasuhisa
2015 INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC), 2015, : 1230 - 1235
[25] Hybrid mobile robot indoor localization using large-scale metric-topological map
Zhuang, Yan
WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS, 2006, : 9057 - 9062
[26] ICESat-2 for Canopy Cover Estimation at Large-Scale on a Cloud-Based Platform
Akturk, Emre
Popescu, Sorin C. C.
Malambo, Lonesome
SENSORS, 2023, 23 (07)
[27] Towards Cloud-based Distributed Scaleable Processing over Large-scale Temporal Graphs
Steinbauer, Matthias
Kotsis, Gabriele
2014 IEEE 23RD INTERNATIONAL WETICE CONFERENCE (WETICE), 2014, : 143 - 148
[28] A Cloud-Based Framework for Large-Scale Log Mining through Apache Spark and Elasticsearch
Li, Yun
Jiang, Yongyao
Gu, Juan
Lu, Mingyue
Yu, Manzhu
Armstrong, Edward M.
Huang, Thomas
Moroni, David
McGibbney, Lewis J.
Frank, Greguska
Yang, Chaowei
APPLIED SCIENCES-BASEL, 2019, 9 (06):
[29] An agent-Based self-organizing model for large-scale biosurveillance systems using mobile edge computing
Al-Zinati, Mohammad
Al-Thebyan, Qutaibah
Jararweh, Yaser
SIMULATION MODELLING PRACTICE AND THEORY, 2019, 93 : 65 - 86
[30] The Effect of Handedness on Mental Arithmetic: A Longitudinal Large-Scale Investigation Through Smart Mobile Devices
Lagares, Federico
Edelsztein, Valeria
Parisi, Gustavo
Rieznik, Andres A.
JOURNAL OF APPLIED RESEARCH IN MEMORY AND COGNITION, 2023, 12 (02) : 280 - 289

← 1 2 3 4 5 →