Bluetooth Sensor Network Positioning System with Dynamic Calibration

Fernandez, Tony; Rodas, Javier; Escudero, Carlos J.; Iglesia, Daniel I.

doi:10.1109/iswcs.2007.4392299

Cited by 22 publications

(11 citation statements)

References 3 publications

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“…Although in this article the same names as the ones used in the traditional algorithms are used, this is not totally precise, because the implementations made are adapted to the RSS parameter [56], modifying the principles of the classic schemes, which are focused on data processing.…”

Section: Methodsmentioning

confidence: 99%

Smart Pipe System for a Shipyard 4.0

Fraga‐Lamas

Noceda-Davila

Fernández‐Caramés

et al. 2016

Sensors

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As a result of the progressive implantation of the Industry 4.0 paradigm, many industries are experimenting a revolution that shipyards cannot ignore. Therefore, the application of the principles of Industry 4.0 to shipyards are leading to the creation of Shipyards 4.0. Due to this, Navantia, one of the 10 largest shipbuilders in the world, is updating its whole inner workings to keep up with the near-future challenges that a Shipyard 4.0 will have to face. Such challenges can be divided into three groups: the vertical integration of production systems, the horizontal integration of a new generation of value creation networks, and the re-engineering of the entire production chain, making changes that affect the entire life cycle of each piece of a ship. Pipes, which exist in a huge number and varied typology on a ship, are one of the key pieces, and its monitoring constitutes a prospective cyber-physical system. Their improved identification, traceability, and indoor location, from production and through their life, can enhance shipyard productivity and safety. In order to perform such tasks, this article first conducts a thorough analysis of the shipyard environment. From this analysis, the essential hardware and software technical requirements are determined. Next, the concept of smart pipe is presented and defined as an object able to transmit signals periodically that allows for providing enhanced services in a shipyard. In order to build a smart pipe system, different technologies are selected and evaluated, concluding that passive and active RFID (Radio Frequency Identification) are currently the most appropriate technologies to create it. Furthermore, some promising indoor positioning results obtained in a pipe workshop are presented, showing that multi-antenna algorithms and Kalman filtering can help to stabilize Received Signal Strength (RSS) and improve the overall accuracy of the system.

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Section: Methodsmentioning

confidence: 99%

Smart Pipe System for a Shipyard 4.0

Fraga‐Lamas

Noceda-Davila

Fernández‐Caramés

et al. 2016

Sensors

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“…Wireless Sensor Networks (WSN) based on the Wi-Fi standards (IEEE 802.11 a/b/g/n), Bluetooth, and ZigBee have been used extensively in different fields for monitoring different parameters [20], appliances [21,22], military resources [23,24,25,26], physical locations [27], equipment [28], and even musical instruments [29]. An example of an WSN-based monitoring system that makes use of IEEE 802.11 a/b/g/n transceivers is presented in [30].…”

Section: Related Work: Academic and Commercial Systems For Vineyarmentioning

confidence: 99%

VineSens: An Eco-Smart Decision-Support Viticulture System

Perez-Exposito

Fernández‐Caramés

Fraga‐Lamas

et al. 2017

Sensors

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This article presents VineSens, a hardware and software platform for supporting the decision-making of the vine grower. VineSens is based on a wireless sensor network system composed by autonomous and self-powered nodes that are deployed throughout a vineyard. Such nodes include sensors that allow us to obtain detailed knowledge on different viticulture processes. Thanks to the use of epidemiological models, VineSens is able to propose a custom control plan to prevent diseases like one of the most feared by vine growers: downy mildew. VineSens generates alerts that warn farmers about the measures that have to be taken and stores the historical weather data collected from different spots of the vineyard. Such data can then be accessed through a user-friendly web-based interface that can be accessed through the Internet by using desktop or mobile devices. VineSens was deployed at the beginning in 2016 in a vineyard in the Ribeira Sacra area (Galicia, Spain) and, since then, its hardware and software have been tested to prevent the development of downy mildew, showing during its first season that the system can led to substantial savings, to decrease the amount of phytosanitary products applied, and, as a consequence, to obtain a more ecologically sustainable and healthy wine.

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“…Also, it is expected to achieve the indoor positioning system for a pedestrian who has a good performance as shown above by combining the proposed method and PDR. By the way, the BLE beacon [8] has become popularized these days. Thus, the authors describe the advantages of the Wi-Fi location beacon.…”

Section: Effect Of the Proposed Wi-fi Location Beaconmentioning

confidence: 99%

“…Here, the authors describe a basic Wi-Fi fingerprint technique. [4] high discontinuous Visual Marker [5] high discontinuous Light Beacon [6] high discontinuous Ultrasonic Beacon [7] high discontinuous Bluetooth Beacon [8] medium discontinuous IMES [9], [10] low discontinuous Wi-Fi Fingerprint [11], [12] low continuous UWB TOA [13] low continuous Wi-Fi Area Distinction [14] low continuous The Wi-Fi fingerprint technique is an RSSI-based positioning technique. This technique estimates the current position by using an RSSI vector map which is measured by a survey work.…”

Section: Introductionmentioning

confidence: 99%

User-installable Indoor Positioning System Using a Wi-Fi Beacon and PDR Module

Sawada

Yuichi

Mori

2016

Journal of Information Processing

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This paper describes a user-installable indoor positioning system based on a new wireless beaconing method called a Wi-Fi location beacon, and a pedestrian dead reckoning (PDR) module. In the proposed system, the new wireless beaconing method offers an accurate positioning system using a high-gain beam antenna in the 5 GHz Wi-Fi band. The antenna forms a narrow hotspot of received signal strength (RSSI) in the space immediately below itself; the user devices detect the hotspot by monitoring the RSSI. The beaconing module is also resistant to jamming by other wireless systems and noise. Experimental results show that the proposed system can work in a high density Wi-Fi environment with over 100 Wi-Fi stations, and the positioning error of the proposed system at CDF = 90% is about 3.5 m. The positioning accuracy of the proposed system is slightly inferior to previous systems based on the Wi-Fi fingerprint method, but it achieves a similar function using a user-installable system which is easier to install and maintain than previous systems.

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Bluetooth Sensor Network Positioning System with Dynamic Calibration

Cited by 22 publications

References 3 publications

Smart Pipe System for a Shipyard 4.0

Smart Pipe System for a Shipyard 4.0

VineSens: An Eco-Smart Decision-Support Viticulture System

User-installable Indoor Positioning System Using a Wi-Fi Beacon and PDR Module

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