Smart Pipe System for a Shipyard 4.0
Open accessAbstract
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.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
As a result of the combination of the latest advances in electronics, networking, and robotics, it is feasible to develop advanced sensor systems for different sectors and applications: energy efficiency, Industry 4.0, home automation, public safety and defense, precision agriculture or transportation.
“As a result of the combination of the latest advances in electronics, networking, and robotics, it is feasible to develop advanced sensor systems for different sectors and applications: energy efficiency [32], Industry 4.0 [33,34], home automation [35], public safety and defense [36,37], precision agriculture [38] or transportation [39].”
From Towards the Internet of Smart Trains: A Review on Industrial IoT-Connected Railways (2017) · cites this paper as [33]
In applications for precision agriculture, smart cities, and Industry 4.0, it is common to deploy IoT nodes and gateways in large areas where a power outlet is not available and electricity has to be harvested to charge the batteries that power every device.
“in applications for precision agriculture [8], smart cities [9], and Industry 4.0 [10,11], it is common to deploy IoT nodes and gateways in large areas where a power outlet is not available and electricity has to be harvested to charge the batteries that power every device.”
From A Practical Evaluation of a High-Security Energy-Efficient Gateway for IoT Fog Computing Applications (2017) · cites this paper as [10]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
RADAR: an in-building RF-based user location and tracking system
Bahl, P., & Padmanabhan, V. N. (2002) · Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064) · doi:10.1109/infcom.2000.832252 · Cited by 8,380 · see citing works
LANDMARC: indoor location sensing using active RFID
Ni, L. M.-S., Liu, Y., Lau, Y. C., & Patil, A. P. (2004) · IEEE International Conference on Pervasive Computing and Communications · doi:10.1109/percom.2003.1192765 · Cited by 2,455 · see citing works
LANDMARC: Indoor Location Sensing Using Active RFID
Ni, L. M.-S., Liu, Y., Lau, Y. C., & Patil, A. P. (2004) · Wireless Networks · doi:10.1023/b:wine.0000044029.06344.dd · Cited by 1,589 · see citing works
Implementing Smart Factory of Industrie 4.0: An Outlook
Wang, S., Wan, J., Li, D., & Zhang, C. (2016) · International Journal of Distributed Sensor Networks · doi:10.1155/2016/3159805 · Cited by 1,527 · see citing works
A Study of LoRa: Long Range & Low Power Networks for the Internet of Things
Augustin, A., Yi, J., Clausen, T., & Townsley, M. (2016) · Sensors · doi:10.3390/s16091466 · Cited by 1,495 · see citing works
Wi-Fi Fingerprint-Based Indoor Positioning: Recent Advances and Comparisons
He, S., & Chan, S.-H. G. (2016) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2015.2464084 · Cited by 1,355 · see citing works
Ultra Wideband Indoor Positioning Technologies: Analysis and Recent Advances
Alarifi, A., Al‐Salman, A. S., Alsaleh, M., Alnafessah, A., Al-Hadhrami, S. A., Al-Ammar, M., & Al-Khalifa, H. S. (2016) · Sensors · doi:10.3390/s16050707 · Cited by 1,140 · see citing works
Rai, A., Chintalapudi, K. K., Padmanabhan, V. N., & Sen, R. (2012) · ACM Annual International Conference on Mobile Computing and Networking (MobiCom) · doi:10.1145/2348543.2348580 · Cited by 1,040 · see citing works
Indoor localization without the pain
Chintalapudi, K. K., Iyer, A. P., & Padmanabhan, V. N. (2010) · doi:10.1145/1859995.1860016 · Cited by 978 · see citing works
Location Fingerprinting with Bluetooth Low Energy Beacons
Faragher, R., & Harle, R. (2015) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2015.2430281 · Cited by 879 · see citing works
Wang, H., Sen, S., Elgohary, A., Farid, M., Youssef, M. A., & Choudhury, R. R. (2012) · International Conference on Mobile Systems, Applications, and Services · doi:10.1145/2307636.2307655 · Cited by 828 · see citing works
Yang, Z., Wu, C., & Liu, Y. (2012) · Proceedings of the 28th Annual International Conference on Mobile Computing And Networking · doi:10.1145/2348543.2348578 · Cited by 753 · see citing works
EasyLiving: Technologies for Intelligent Environments
Brumitt, B. L., Meyers, B. R., Krumm, J. C., et al. (2000) · Lecture notes in computer science · doi:10.1007/3-540-39959-3_2 · Cited by 536 · see citing works
RFID-enabled real-time manufacturing execution system for mass-customization production
Zhong, R. Y., Dai, Q., Qu, T., Hu, G., & Huang, G. Q. (2012) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2012.08.001 · Cited by 462 · see citing works
Accurate GSM Indoor Localization
Otsason, V., Varshavsky, A., LaMarca, A., & de Lara, E. (2005) · Lecture notes in computer science · doi:10.1007/11551201_9 · Cited by 449 · see citing works
Grewal, M. S., & Andrews, A. P. (2008) · Wiley eBooks · doi:10.1002/9780470377819 · Cited by 447 · see citing works
WILL: Wireless Indoor Localization without Site Survey
Wu, C., Yang, Z., Liu, Y., & Xi, W. (2012) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2012.179 · Cited by 445 · see citing works
On indoor position location with wireless LANs
Prasithsangaree, P., Krishnamurthy, P., & Chrysanthis, P. K. (2003) · IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) · doi:10.1109/pimrc.2002.1047316 · Cited by 395 · see citing works
Growing an organic indoor location system
Park, J., Charrow, B., Curtis, D. W., et al. (2010) · International Conference on Mobile Systems, Applications, and Services · doi:10.1145/1814433.1814461 · Cited by 316 · see citing works
A Review on Internet of Things for Defense and Public Safety
Fraga-Lamas, P., Fernández-Caramés, T., Suárez-Albela, M., Castedo, L., & González-López, M. (2016) · Sensors · doi:10.3390/s16101644 · Cited by 242 · see citing works
Self-citationKing, T., Kopf, S., Haenselmann, T., et al. (2006) · doi:10.1145/1160987.1160995 · Cited by 222 · see citing works
Efficient Object Localization Using Sparsely Distributed Passive RFID Tags
Yang, P., Wu, W., Moniri, M., et al. (2012) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2012.2230596 · Cited by 190 · see citing works
Robotics-Based Location Sensing Using Wireless Ethernet
(2005) · doi:10.1007/s11276-004-4755-8 · Cited by 184 · see citing works
Indoor positioning: A review of indoor ultrasonic positioning systems
Ijaz, F., Yang, H. K., Ahmad, A. W., et al. (2013) · Cited by 156 · see citing works
Real-time personal protective equipment monitoring system
Barro-Torres, S., Fernández-Caramés, T. M., Pérez-Iglesias, H. J., & Escudero, C. J. (2012) · Computer Communications · doi:10.1016/j.comcom.2012.01.005 · Cited by 153 · see citing works
Self-citationLow Throughput Networks for the IoT: Lessons learned from industrial implementations
Margelis, G., Piechocki, R. J., Kaleshi, D., et al. (2015) · IEEE World Forum on Internet of Things (WF-IoT) · doi:10.1109/wf-iot.2015.7389049 · Cited by 150 · see citing works
Zero-configuration indoor localization over IEEE 802.11 wireless infrastructure
Lim, H., Kung, L.-C., Hou, J. C., et al. (2008) · Wireless Networks · doi:10.1007/s11276-008-0140-3 · Cited by 140 · see citing works
A readability analysis for QR code application in a traceability system
Tarjan, L., Šenk, I., Tegeltija, S., et al. (2014) · Computers and Electronics in Agriculture · doi:10.1016/j.compag.2014.08.015 · Cited by 137 · see citing works
Goswami, A., Ortiz, L. E., & Das, S. R. (2011) · doi:10.1145/2079296.2079299 · Cited by 130 · see citing works
Error characteristics and calibration-free techniques for wireless LAN-based location estimation
Gwon, Y., & Jain, R. (2004) · doi:10.1145/1023783.1023786 · Cited by 130 · see citing works
An IR local positioning system for smart items and devices
Aitenbichler, E., & Mühlhäuser, M. (2004) · International Conference on Distributed Computing Systems Workshops · doi:10.1109/icdcsw.2003.1203576 · Cited by 117 · see citing works
A Real-Time Monitoring System of Industry Carbon Monoxide Based on Wireless Sensor Networks
Yang, J., Zhou, J., Lv, Z., Wei, W., & Song, H. H. (2015) · Sensors · doi:10.3390/s151129535 · Cited by 111 · see citing works
The Cricket indoor location system
Priyantha, N. B., Balakrishnan, H., & Priyantha, B. (2005) · DSpace@MIT (Massachusetts Institute of Technology) · Cited by 109 · see citing works
Indoor Localization Using 802.11 Time Differences of Arrival
Makki, A., Siddig, A., Saad, M., Cavallaro, J. R., & Bleakley, C. J. (2015) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2015.2506239 · Cited by 102 · see citing works
Development and application of an intelligent welding robot system for shipbuilding
Lee, D. H., Ku, N., Kim, T., et al. (2010) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2010.08.006 · Cited by 98 · see citing works
NFC internal: An indoor navigation system
Ozdenizci, B., Coskun, V., & Ok, K. (2015) · Sensors · doi:10.3390/s150407571 · Cited by 96 · see citing works
Flash Flood Detection in Urban Cities Using Ultrasonic and Infrared Sensors
Mousa, M., Zhang, X., & Claudel, C. G. (2016) · IEEE Sensors Journal · doi:10.1109/jsen.2016.2592359 · Cited by 91 · see citing works
An Intelligent Power Outlet System for the Smart Home of the Internet of Things
Fernández‐Caramés, T. M. (2015) · International Journal of Distributed Sensor Networks · doi:10.1155/2015/214805 · Cited by 88 · see citing works
Self-citationPerformance Evaluation of 3D-LOCUS Advanced Acoustic LPS
Prieto, J. C., Jiménez, A. R., Guevara, J., et al. (2009) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2009.2016378 · Cited by 81 · see citing works
ZigBee-based intelligent indoor positioning system soft computing
Luoh, L. (2013) · Soft Computing · doi:10.1007/s00500-013-1067-x · Cited by 71 · see citing works
Improving RFID-based indoor positioning accuracy using Gaussian processes
Seco, F. A., Plagemann, C., Jiménez, A. R., et al. (2010) · International Conference on Indoor Positioning and Indoor Navigation · doi:10.1109/ipin.2010.5647095 · Cited by 60 · see citing works
The Survey of RFID Attacks and Defenses
Li, H., Chen, Y., & He, Z. (2012) · International Conference on Wireless Communications, Networking and Mobile Computing · doi:10.1109/wicom.2012.6478720 · Cited by 48 · see citing works
Localization of off-the-shelf mobile devices using audible sound
Lopes, C. V., Haghighat, A., Mandal, A., Givargis, T. D., & Baldi, P. (2006) · ACM SIGMOBILE Mobile Computing and Communications Review · doi:10.1145/1137975.1137980 · Cited by 46 · see citing works
LIPS: Learning Based Indoor Positioning System using mobile phone-based sensors
Mascharka, D., & Manley, E. (2016) · IEEE Consumer Communications & Networking Conference (CCNC) · doi:10.1109/ccnc.2016.7444919 · Cited by 42 · see citing works
UHF RFID Tag Antenna for Embedded Use in a Concrete Floor
Jeong, S.-H., & Son, H. (2011) · IEEE Antennas and Wireless Propagation Letters · doi:10.1109/lawp.2011.2172179 · Cited by 42 · see citing works
Human SLAM, Indoor Localisation of Devices and Users
Bulten, W., van Rossum, A. C., & Haselager, P. (2016) · doi:10.1109/iotdi.2015.19 · Cited by 35 · see citing works
Bluetooth Sensor Network Positioning System with Dynamic Calibration
Fernaandez, T. M., Rodas, J., Escudero, C. J., & Iglesia, D. I. (2007) · International Symposium on Wireless Communication Systems · doi:10.1109/iswcs.2007.4392299 · Cited by 31 · see citing works
Development of a climbing robot for grit blasting operations in shipyards
Faíña, A., Souto, D., Deibe, Á., et al. (2009) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/robot.2009.5152584 · Cited by 31 · see citing works
Evolving military broadband wireless communication systems: WiMAX, LTE and WLAN
Fraga‐Lamas, P., Castedo, L., Morales-Méndez, A., & Camas-Albar, J. M. (2016) · International Conference on Military Communications and Information Systems (ICMCIS) · doi:10.1109/icmcis.2016.7496570 · Cited by 31 · see citing works
Self-citationVisual sensing and recognition of welding environment for intelligent shipyard welding robots
Kim, M. Y., Ko, K.-W., Cho, H., & Kim, J. (2002) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros.2000.895290 · Cited by 30 · see citing works
Wireless Network System for Indoor Human Positioning
Kawakubo, S., Chansavang, A., Tanaka, S., Iwasaki, T., Sasaki, K., Hirota, T., Hosaka, H., & Ando, H. (2006) · International Symposium on Wireless Pervasive Computing · doi:10.1109/iswpc.2006.1613611 · Cited by 26 · see citing works
Wireless Remote Monitoring of Toxic Gases in Shipbuilding
Pérez-Garrido, C., González-Castaño, F. J., Chaves-Diéguez, D., et al. (2014) · Sensors · doi:10.3390/s140202981 · Cited by 26 · see citing works
Improving the near-metal performance of UHF RFID tags
Deavours, D. D. (2010) · IEEE International Conference on RFID · doi:10.1109/rfid.2010.5467273 · Cited by 19 · see citing works
Characterization of RF Propagation in Helical and Toroidal Metal Pipes for Passive RFID Systems
Arumugam, D. D., & Engels, D. W. (2008) · IEEE International Conference on RFID · doi:10.1109/rfid.2008.4519364 · Cited by 18 · see citing works
Radio Frequency Identification
Crepaldi, P., & Pimenta, T. C. (2017) · InTech eBooks · doi:10.5772/62606 · Cited by 17 · see citing works
RFID and ZigBee based manufacturing monitoring system
Ruan, Q., Xu, W., & Wang, G. (2011) · International Conference on Electric Information and Control Engineering · doi:10.1109/iceice.2011.5777927 · Cited by 16 · see citing works
DASH7 Alliance Protocol in Monitoring Applications
Ergeerts, G., Nikodem, M., Subotic, D., et al. (2015) · International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC) · doi:10.1109/3pgcic.2015.93 · Cited by 16 · see citing works
Clerckx, B., & Oestges, C. (2013) · Elsevier eBooks · doi:10.1016/b978-0-12-385055-3.00012-2 · Cited by 15 · see citing works
Mount-on-Metal RFID Transponders for Automatic Identification of Containers
Bovelli, S., Neubauer, F., & Heller, C. (2006) · European Microwave Conference (EuMC) · doi:10.1109/eumc.2006.281004 · Cited by 14 · see citing works
Efficient Evaluation of Wireless Real-Time Control Networks
Horváth, P., Yampolskiy, M., & Koutsoukos, X. (2015) · Sensors · doi:10.3390/s150204134 · Cited by 12 · see citing works
Neural network-based recognition of navigation environment for intelligent shipyard welding robots
Kim, M. Y., Cho, H. S., & Kim, J. (2002) · doi:10.1109/iros.2001.973397 · Cited by 10 · see citing works
Sensors Systems for the Automation of Operations in the Ship Repair Industry
Navarro, P., Muro, J. S., Alcover, P. M., et al. (2013) · Sensors · doi:10.3390/s130912345 · Cited by 10 · see citing works
Sub-assembly welding robot system at shipyards
Mun, S., Nam, M.-H., Lee, J., et al. (2015) · IEEE International Conference on Advanced Intelligent Mechatronics (AIM) · doi:10.1109/aim.2015.7222754 · Cited by 7 · see citing works
Bichet, M., de Freitas, E. K. H., Rocha, R. S., Nunez, A., Schroeder, G. N., dos Santos, R. A. P., & Botelho, S. S. D. C. (2013) · Symposium on Computing and Automation for Offshore Shipbuilding · doi:10.1109/navcomp.2013.21 · Cited by 7 · see citing works
The effect of metal noise factor to RFID location system
Wong, S. F., & Zheng, Y. (2013) · doi:10.1109/ieem.2013.6962424 · Cited by 7 · see citing works
Detection of assembly variations for automatic program adaptation in robotic welding systems
Kuss, A., Schneider, U., Dietz, T. M., et al. (2022) · Fraunhofer-Publica (Fraunhofer-Gesellschaft) · doi:10.24406/publica-fhg-393056 · Cited by 7 · see citing works
Unleashing the Potential of LTE for Next Generation Railway Communications
Fraga‐Lamas, P., Rodríguez-Piñeiro, J., Garcia-Naya, J. A., & Castedo, L. (2015) · Lecture notes in computer science · doi:10.1007/978-3-319-17765-6_14 · Cited by 6 · see citing works
Self-citationImproving a Cellular Manufacturing System through Real Time-Simulation and-Measurement
Kitazawa, M., Takahashi, S., TAKAHASHI, T., et al. (2016) · IEEE Annual Computer Software and Applications Conference (COMPSAC) · doi:10.1109/compsac.2016.135 · Cited by 6 · see citing works
ANT+ Medical Health Kit for Older Adults
Belchior, R., Júnior, D., & Monteiro, A. (2013) · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering · doi:10.1007/978-3-642-37893-5_3 · Cited by 5 · see citing works
High-Temperature UHF RFID Sensor Measurements in a Full-Metal Environment
Heiß, M., & Hildebrandt, R. (2013) · Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) · Cited by 4 · see citing works
An, X., Wang, J., Prasad, R., et al. (2006) · doi:10.1145/1132983.1133008 · Cited by 4 · see citing works
Boukhtouta, A., & Berger, J. (2014) · International Conference on Advanced Logistics and Transport (ICALT) · doi:10.1109/icadlt.2014.6864109 · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 14
- [19]Rao K.V.S. Lam S.F. Nikitin P.V. UHF RFID tag for metal containers Proceedings of the Asia-Pacific Microwave Conference Yokohama, Japan 7–10 December 2010 179 182
- [27]Barro-Torres S.J. Fernández-Caramés T.M. González-López M. Escudero-Cascón C.J. Maritime freight container management system using RFID Proceedings of the Third International EURASIP Workshop on RFID Technology La Manga del Mar Menor, Spain 6–7 September 2010
- [44]Fraga-Lamas P. Camas J.M. Carro A. Suárez P. Castedo L. García-Naya J.A. Morales A. Mobile WiMAX for next generation tactical wireless networks Proceedings of the Information Systems Technology Panel Symposium on Emerged/Emerging ’Disruptive’ Technologies (NATO IST-099 / RSY-024) Madrid, Spain 9–10 May 2011
- [46]Rodríguez-Piñeiro J. Fraga-Lamas P. García-Naya J.A. Castedo L. Long term evolution security analysis for railway communications Proceedings of the IEEE Congreso de Ingeniería en Electro-Electrónica, Comunicaciones y Computación (ARANDUCON 2012) Asunción, Paraguay 28–30 November 2012
- [47]Fraga-Lamas P. Rodríguez-Piñeiro J. García-Naya J.A. Castedo L. A survey on LTE networks for railway services Proceedings of the IEEE Congreso de Ingeniería en Electro-Electrónica, Comunicaciones y Computación (ARANDUCON 2012) Asunción, Paraguay 28–30 November 2012
- [52]Rappaport T.S. Wireless Communications: Principles and Practice 2nd ed. Prentice Hall Upper Saddle River, NJ, USA 2002
- [55]Clerckx B. Oestges C. MIMO Wireless Networks: Channels, Techniques and Standards for Multi-Antenna, Multi-User and Multi-Cell Systems 2nd ed. Academic Press Cambridge, MA, USA 2013
- [60]NPR ActiveTrack-2 New Edition Available online: http://www.nextpoints.com/es/productos-rfid/item/187-npr-active-track-2-new-edition.html (accessed on 31 October 2016)
- [66]Goswami A. Ortiz L.E. Das S.R. WiGEM: A learning-based approach for indoor localization Proceedings of the Seventh Conference on emerging Networking Experiments and Technologies ACM CoNEXT Tokyo, Japan 6–9 December 2011 1 12
- [69]Rai A. Chintalapudi K.K. Padmanabhan V.N. Sen R. Zee: Zero-effort crowdsourcing for indoor localization Proceedings of the ACM 18th Annual International Conference on Mobile Computing and Networking (MobiCom 2012) Istambul, Turkey 22–26 August 2012 293 304
- [71]Shen G. Chen Z. Zhang P. Moscibroda T. Zhang Y. Walkie-Markie: Indoor pathway mapping made easy Proceedings of the 10th USENIX Conference on Networked Systems Design and Implementation Berkeley, CA, USA 2–5 April 2013 85 98
- [73]Youssef M. Agrawala A. Handling samples correlation in the horus system Proceedings of the Twenty-Third Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM 2004) Hong Kong, China 7–11 March 2004 Volume 2 1023 1031
- [96]King T. Kopf S. Haenselmann T. Lubberger C. Effelsberg W. COMPASS: A probabilistic indoor positioning system based on 802.11 and digital compasses Proceedings of the First ACM International Workshop on Wireless Network Testbeds, Experimental evaluation and CHaracterization (WiN-TECH) Los Angeles, CA, USA 29 September 2006 34 40
- [97]An X. Wang J. Prasad R.V. Niemegeers I.G.M.M. OPT: Online person tracking system for context-awareness in wireless personal network Proceedings of the 2nd International Workshop on Multi-hop Ad Hoc Networks: From Theory to Reality (REALMAN ’06) Florence, Italy 26 May 2006 47 54
Cited by
Sorted by citations
A Review on the Use of Blockchain for the Internet of Things
Fernandez-Carames, T. M., & Fraga-Lamas, P. (2018) · IEEE Access · doi:10.1109/access.2018.2842685 · Cited by 1,078 · see citing works
Self-citationTowards the Internet of Smart Trains: A Review on Industrial IoT-Connected Railways
Fraga-Lamas, P., Fernández-Caramés, T., & Castedo, L. (2017) · Sensors · doi:10.3390/s17061457 · Cited by 267 · see citing works
Self-citationBlanco-Novoa, O., Fernandez-Carames, T. M., Fraga-Lamas, P., & Vilar-Montesinos, M. A. (2018) · IEEE Access · doi:10.1109/access.2018.2802699 · Cited by 183 · see citing works
Self-citationSuárez-Albela, M., Fernández-Caramés, T., Fraga-Lamas, P., & Castedo, L. (2017) · Sensors · doi:10.3390/s17091978 · Cited by 125 · see citing works
Self-citationVineSens: An Eco-Smart Decision-Support Viticulture System
Pérez-Expósito, J., Fernández-Caramés, T., Fraga-Lamas, P., & Castedo, L. (2017) · Sensors · doi:10.3390/s17030465 · Cited by 86 · see citing works
Self-citationAn Electricity Price-Aware Open-Source Smart Socket for the Internet of Energy
Blanco-Novoa, Ó., Fernández-Caramés, T., Fraga-Lamas, P., & Castedo, L. (2017) · Sensors · doi:10.3390/s17030643 · Cited by 76 · see citing works
Self-citationFraga-Lamas, P., Fernandez-Carames, T. M., Noceda-Davila, D., & Vilar-Montesinos, M. (2017) · 2017 IEEE International Conference on RFID (RFID) · doi:10.1109/rfid.2017.7945603 · Cited by 39 · see citing works
Self-citationReverse engineering the communications protocol of an RFID public transportation card
Fraga-Lamas, P., & Fernandez-Carames, T. M. (2017) · 2017 IEEE International Conference on RFID (RFID) · doi:10.1109/rfid.2017.7945583 · Cited by 34 · see citing works
Self-citation
- Authors
- Fraga-Lamas, P., Noceda-Davila, D., Fernández-Caramés, T., Díaz-Bouza, M., & Vilar-Montesinos, M.
- Affiliations
- Unidad Mixta de Investigación Navantia-UDC, Universidade da Coruña, Edificio Talleres Tecnológicos, Mendizábal s/n, Ferrol 15403, Spain
- Universidade da Coruña (ES)
- Venue
- Sensors
- Publisher
- MDPI AG
- Published
- 2016-12-20
- Volume
- 16
- Issue
- 12
- Pages
- 2186
- ISSN
- 1424-8220 (ISSN-L)
- PMC
- PMC5191165
- OpenAlex
- W2566246429
- Cited by
- 73
- References
- 72
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 8 · 2023: 6 · 2022: 10 · 2021: 7 · 2020: 5 · 2019: 8 · 2018: 16 · 2017: 9
- FWCI
- 11.85
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sensors (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- arXiv (Cornell University) (submittedVersion, cc-by)
- LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas) (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- RUC (Universidade Da Coruña) (submittedVersion, cc-by)
- arXiv (Cornell University) (cc-by)
- Topics
- Physical Sciences › Engineering › Media Technology › RFID technology advancements
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Indoor and Outdoor Localization Technologies
- Keywords
- shipyards, Industry 4.0, RFID, passive RFID, active RFID, indoor positioning, received signal strength, Kalman filter, cyber-physical systems, Navantia
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
