BLE-Based Indoor Tracking System with Overlapping-Resistant IoT Solution for Tourism Applications

In this paper, an overlapping-resistant Internet of Things (IoT) solution for a Bluetooth Low Energy (BLE)-based indoor tracking system (BLE-ITS) is presented. The BLE-ITS is a promising, inexpensive alternative to the well-known GPS. It can be used in human traffic analysis, such as indoor tourist facilities. Tourists or other customers are tagged by a unique MAC address assigned to a simple and energy-saving BLE beacon emitter. Their location is determined by a distributed and scalable network of popular Raspberry Pi microcomputers equipped with BLE and WiFi/Ethernet modules. Only simple triggered messages in the form of login records (LRs) are sent to a server, where the so-called path vectors (PVs) and interest profile (IPr) are set. The authors implemented the prototype and demonstrated its usefulness in a controlled environment. As it is shown in the paper, the solution is highly overlap-resistant and mitigates the so-called multilocation problem.

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Automation in supply chain management system using Internet of Things (IoT)

International Journal of Engineering & Technology ◽

10.14419/ijet.v7i2.10746 ◽

2018 ◽

Vol 7 (2) ◽

pp. 777 ◽

Cited By ~ 2

Author(s):

Aishwarya Raj Laxmi ◽

Ayaskanta Mishra

Keyword(s):

Supply Chain ◽

Supply Chain Management ◽

Internet Of Things ◽

Management System ◽

Tracking System ◽

Raspberry Pi ◽

Position Tracking ◽

Exit Point ◽

Chain Management ◽

Supply Chain Management System

An automated Supply Chain Management (SCM) System includes the real-time GPS position tracking of transport fleets as well as a RFID based shipment tracking at the entry and exit point of the warehouse. This paper has proposed a system architecture and implementation of the same using Arduino and SIM808 based GPS position tracking system for constrained power application. A Raspberry Pi and RC522 RFID Reader is used for a MQTT based shipment tracking system at the warehouse. Integration of both the modules makes a comprehensive Automated Supply Chain Management System, which can be used by logistic companies to monitor and manage their logistics using the web based GUI. Internet of Things (IoT) platform is used for data communication from Sensors to cloud platforms HTTP POST and PHP is prior and CloudMQTT in later case.

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Design and Implementation of an Internet-of-Things Roadside Parking System Based on Raspberry Pi 3 and Bluetooth Low Energy Mesh Sensor Network

Sensors and Materials ◽

10.18494/sam.2019.2087 ◽

2019 ◽

Vol 31 (2) ◽

pp. 365 ◽

Cited By ~ 2

Author(s):

Ing-Chau Chang ◽

Peng-Jun Hsu ◽

Yuan-Sheng Lin ◽

Yu-Sheng Wu ◽

Pin-Lin Chen ◽

...

Keyword(s):

Internet Of Things ◽

Sensor Network ◽

Low Energy ◽

Raspberry Pi ◽

Bluetooth Low Energy ◽

Design And Implementation ◽

Parking System

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Accuracy of a Basketball Indoor Tracking System Based on Standard Bluetooth Low Energy Channels (NBN23®)

Sensors ◽

10.3390/s18061940 ◽

2018 ◽

Vol 18 (6) ◽

pp. 1940 ◽

Cited By ~ 8

Author(s):

Bruno Figueira ◽

Bruno Gonçalves ◽

Hugo Folgado ◽

Nerijus Masiulis ◽

Julio Calleja-González ◽

...

Keyword(s):

Tracking System ◽

Low Energy ◽

Bluetooth Low Energy ◽

Indoor Tracking ◽

Energy Channels

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RFID, NFC, Beacons, and the Infrastructures of Logistical Locative Media

The Oxford Handbook of Mobile Communication and Society ◽

10.1093/oxfordhb/9780190864385.013.31 ◽

2020 ◽

pp. 474-486

Author(s):

Jordan Frith

Keyword(s):

Internet Of Things ◽

Radio Frequency Identification ◽

Near Field ◽

Low Energy ◽

Near Field Communication ◽

Rfid Tags ◽

Bluetooth Low Energy ◽

Locative Media ◽

Frequency Identification ◽

Machine Readable

The phrase the Internet of things was originally coined in a 1999 presentation about attaching radio frequency identification (RFID) tags to individual objects. These tags would make the objects machine-readable, uniquely identifiable, and, most importantly, wirelessly communicative with infrastructure. This chapter evaluates RFID as a piece of mobile communicative infrastructure, and it examines two emerging forms: near-field communication (NFC) and Bluetooth low-energy beacons. The chapter shows how NFC and Bluetooth low-energy beacons may soon move some types of RFID to smartphones, in this way evolving the use of RFID in payment and transportation and enabling new practices of post-purchasing behaviors.

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Commercial and Industrial Internet of Things Applications with the Raspberry Pi

10.1007/978-1-4842-5296-3 ◽

2020 ◽

Author(s):

Ioana Culic ◽

Alexandru Radovici ◽

Cristian Rusu

Keyword(s):

Internet Of Things ◽

Raspberry Pi ◽

Industrial Internet Of Things ◽

Industrial Internet

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Position Tracking Techniques Using Multiple Receivers for Anti-Drone Systems

Sensors ◽

10.3390/s21010035 ◽

2020 ◽

Vol 21 (1) ◽

pp. 35

Author(s):

Jae-Min Shin ◽

Yu-Sin Kim ◽

Tae-Won Ban ◽

Suna Choi ◽

Kyu-Min Kang ◽

...

Keyword(s):

Traffic Control ◽

Tracking System ◽

Estimation Method ◽

Signal Strength ◽

Low Energy ◽

Position Tracking ◽

Memory Process ◽

Multiple Receivers ◽

Received Signal Strength Indication ◽

Control Management

The need for drone traffic control management has emerged as the demand for drones increased. Particularly, in order to control unauthorized drones, the systems to detect and track drones have to be developed. In this paper, we propose the drone position tracking system using multiple Bluetooth low energy (BLE) receivers. The proposed system first estimates the target’s location, which consists of the distance and angle, while using the received signal strength indication (RSSI) signals at four BLE receivers and gradually tracks the target based on the estimated distance and angle. We propose two tracking algorithms, depending on the estimation method and also apply the memory process, improving the tracking performance by using stored previous movement information. We evaluate the proposed system’s performance in terms of the average number of movements that are required to track and the tracking success rate.

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Energy Saving Techniques in CoAP of Internet of Things

International Conference on Data Science, E-learning and Information Systems 2021 ◽

10.1145/3460620.3460743 ◽

2021 ◽

Author(s):

Muneer Bani Yassein ◽

Ismail Hmeidi ◽

Fatimah Alghazo ◽

Bayan Odat ◽

Ayat Smairat

Keyword(s):

Internet Of Things ◽

Energy Saving

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Internet of things-based cloud computing platform for analyzing the physical health condition

Technology and Health Care ◽

10.3233/thc-213003 ◽

2021 ◽

pp. 1-15

Author(s):

Mengyao Cui ◽

Seung-Soo Baek ◽

Rubén González Crespo ◽

R. Premalatha

Keyword(s):

Cloud Computing ◽

Internet Of Things ◽

Health Monitoring ◽

Tracking System ◽

Disease Diagnosis ◽

Health Condition ◽

Computing Platform ◽

Concept Model ◽

Patient Health ◽

Cloud Servers

BACKGROUND: Health monitoring is important for early disease diagnosis and will reduce the discomfort and treatment expenses, which is very relevant in terms of prevention. The early diagnosis and treatment of multiple conditions will improve solutions to the patient’s healthcare radically. A concept model for the real-time patient tracking system is the primary goal of the method. The Internet of things (IoT) has made health systems accessible for programs based on the value of patient health. OBJECTIVE: In this paper, the IoT-based cloud computing for patient health monitoring framework (IoT-CCPHM), has been proposed for effective monitoring of the patients. METHOD: The emerging connected sensors and IoT devices monitor and test the cardiac speed, oxygen saturation percentage, body temperature, and patient’s eye movement. The collected data are used in the cloud database to evaluate the patient’s health, and the effects of all measures are stored. The IoT-CCPHM maintains that the medical record is processed in the cloud servers. RESULTS: The experimental results show that patient health monitoring is a reliable way to improve health effectively.

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