Articles | Volume 6, issue 1
https://doi.org/10.5194/jsss-6-247-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/jsss-6-247-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Regular research article
| 
20 Jun 2017
Regular research article |
| 20 Jun 2017
Scanning method for indoor localization using the RSSI approach
Ahmad Warda
CORRESPONDING AUTHOR
Technische Universität Ilmenau, Institute for Information
Technology, Ilmenau, Germany
Bojana Petković
Technische Universität Ilmenau,
Institute of Biomedical Engineering and Informatics, Ilmenau, Germany
Hannes Toepfer
Technische Universität Ilmenau, Institute for Information
Technology, Ilmenau, Germany
Related authors
Ahmad Warda, Bojana Petković, and Hannes Töpfer
J. Sens. Sens. Syst., 6, 375–380, https://doi.org/10.5194/jsss-6-375-2017, https://doi.org/10.5194/jsss-6-375-2017, 2017
Short summary
Short summary
The paper introduces a novel method for 2-D localization of a target in the indoor environment using the RSSI approach with only two sensors. The proposed method reduces the number of sensors by one compared to the trilateration method, which uses at least three sensors for 2-D localization. The achieved accuracy under the white Gaussian noise condition is about 3.4 cm as an average of all positions inside the considered simulated environment.
Rafael Psiuk, Alfred Müller, Daniel Cichon, Albert Heuberger, Hartmut Brauer, and Hannes Töpfer
J. Sens. Sens. Syst., 8, 171–183, https://doi.org/10.5194/jsss-8-171-2019, https://doi.org/10.5194/jsss-8-171-2019, 2019
Short summary
Short summary
In this article we have investigated how the arbitrary orientation of a passive localization object in a magnetic field affects that field. For that we have identified the two sources of uncertainty, the geometrical extent of the object and the field inhomogeneity, and have quantified their effect analytically. Based on that we have compared the performance of several localization algorithms on that field variation. Results show that a dipole model is sufficient for the localization algorithm.
Jan Marc Otterbach, Reinhard Schmidt, Hartmut Brauer, Marek Ziolkowski, and Hannes Töpfer
J. Sens. Sens. Syst., 7, 453–459, https://doi.org/10.5194/jsss-7-453-2018, https://doi.org/10.5194/jsss-7-453-2018, 2018
Short summary
Short summary
Lorentz force eddy current testing (LET) is a motion-induced eddy current testing method in the framework of nondestructive testing. In this study, we address the question of how this method is classified in comparison with a commercial eddy current testing (ECT) device. Therefore, measurements using both methods are performed and evaluated. Based on the measurement results, the corresponding defect detection limits are determined and discussed.
Ahmad Warda, Bojana Petković, and Hannes Töpfer
J. Sens. Sens. Syst., 6, 375–380, https://doi.org/10.5194/jsss-6-375-2017, https://doi.org/10.5194/jsss-6-375-2017, 2017
Short summary
Short summary
The paper introduces a novel method for 2-D localization of a target in the indoor environment using the RSSI approach with only two sensors. The proposed method reduces the number of sensors by one compared to the trilateration method, which uses at least three sensors for 2-D localization. The achieved accuracy under the white Gaussian noise condition is about 3.4 cm as an average of all positions inside the considered simulated environment.
Related subject area
Applications: Environmental monitoring
The River Runner: a low-cost sensor prototype for continuous dissolved greenhouse gas measurements
Laboratory robustness validation of a humidity sensor system for the condition monitoring of grease-lubricated components for railway applications
An in-hive soft sensor based on phase space features for Varroa infestation level estimation and treatment need detection
A classification technique of civil objects by artificial neural networks using estimation of entropy on synthetic aperture radar images
Measure particulate matter by yourself: data-quality monitoring in a citizen science project
An autonomous flame ionization detector for emission monitoring
Gas sensors for climate research
Metal ion binding and tolerance of bacteria cells in view of sensor applications
Highly sensitive benzene detection with metal oxide semiconductor gas sensors – an inter-laboratory comparison
Homogenous static magnetic field coils dedicated to portable nuclear magnetic resonance for agronomic studies
In situ measurements of O2 and CO eq. in cement kilns
High-temperature CO / HC gas sensors to optimize firewood combustion in low-power fireplaces
Atmospheric transmission coefficient modelling in the infrared for thermovision measurements
Partially integrated cantilever-based airborne nanoparticle detector for continuous carbon aerosol mass concentration monitoring
Luminescent determination of nitrite traces in water solutions using cellulose as sorbent
Catalytic metal-gate field effect transistors based on SiC for indoor air quality control
Characterization of ash particles with a microheater and gas-sensitive SiC field-effect transistors
Catalytic and thermal characterisations of nanosized PdPt / Al2O3 for hydrogen detection
Selective detection of hazardous VOCs for indoor air quality applications using a virtual gas sensor array
Aerosol-deposited BaFe0.7Ta0.3O3-δ for nitrogen monoxide and temperature-independent oxygen sensing
A novel horizontal to vertical spectral ratio approach in a wired structural health monitoring system
Sensing of gaseous malodors characteristic of landfills and waste treatment plants
Martin Dalvai Ragnoli and Gabriel Singer
J. Sens. Sens. Syst., 13, 41–61, https://doi.org/10.5194/jsss-13-41-2024, https://doi.org/10.5194/jsss-13-41-2024, 2024
Short summary
Short summary
Greenhouse gas emissions from freshwaters are not well quantified on a global scale. Our prototype monitors aqueous concentrations of CH4 and CO2 at relevant timescales. Our low-cost design allows the application of replicated sensors to capture spatial heterogeneity and temporal variability in dissolved gases in highly dynamic ecosystems, thereby addressing a major bottleneck in the reliable estimation of emissions. We provide a detailed prototype description and share software code.
Krisztián Dubek, Christoph Schneidhofer, Nicole Dörr, and Ulrich Schmid
J. Sens. Sens. Syst., 13, 9–23, https://doi.org/10.5194/jsss-13-9-2024, https://doi.org/10.5194/jsss-13-9-2024, 2024
Short summary
Short summary
A new method for water detection in lubricated rail components is presented. It is based on a robust humidity sensor combined with robust data evaluation to determine the water content of greases. Based on a laboratory evaluation in the relevant environment, the presented approach offers an online monitoring tool to predict the water content of grease-lubricated rail parts, thereby enhancing the reliability and safety while reducing the maintenance costs and downtime of railway wagons.
Andreas König
J. Sens. Sens. Syst., 11, 29–40, https://doi.org/10.5194/jsss-11-29-2022, https://doi.org/10.5194/jsss-11-29-2022, 2022
Short summary
Short summary
Bees play a major role in our ecosystem and the human food supply chain. Numerous threats, from pesticides to parasites, endanger bees and possibly cause bee colony collapse. The Varroa mite is one major parasite, and its timely detection and treatment is a key task for beekeepers. Contemporary sensors, electronics, and AI/PR allow vital parameters of bee hives to be monitored. Recent gas sensors (e.g., SGP30 or BME680) allow continuous in-hive parameter and Varroa population monitoring.
Anton V. Kvasnov and Vyacheslav P. Shkodyrev
J. Sens. Sens. Syst., 10, 127–134, https://doi.org/10.5194/jsss-10-127-2021, https://doi.org/10.5194/jsss-10-127-2021, 2021
Short summary
Short summary
We have prepared an article that demonstrates one of the ways to recognize objects on the ground surface. This paper is a result of experimental data that were collected with unnamed aerial vehicles (UAVs) with synthetic aperture radar. Although UAV radar has a small monitoring area, we noted that such pictures can contain the steady features of the mutual arrangement between detected objects. We have constructed an artificial neural network that solves the tasks of group object recognition.
Aboubakr Benabbas, Martin Geißelbrecht, Gabriel Martin Nikol, Lukas Mahr, Daniel Nähr, Simon Steuer, Gabriele Wiesemann, Thomas Müller, Daniela Nicklas, and Thomas Wieland
J. Sens. Sens. Syst., 8, 317–328, https://doi.org/10.5194/jsss-8-317-2019, https://doi.org/10.5194/jsss-8-317-2019, 2019
Jan Förster, Winfred Kuipers, Christian Lenz, Steffen Ziesche, and Franz Bechtold
J. Sens. Sens. Syst., 8, 67–73, https://doi.org/10.5194/jsss-8-67-2019, https://doi.org/10.5194/jsss-8-67-2019, 2019
Short summary
Short summary
Reliable detection of hydrocarbons can be achieved with a flame ionization detector (FID). However, these devices have not been implemented as true field devices yet. Miniaturization by using ceramic multilayer technology leads to a strong reduction of gas consumption and allows autonomous operation of the FID with gas supply by electrolysis. Thus, this research enables the use of the FID in the field. Characterization of this new FID reveals a performance comparable to conventional FIDs.
Louisa Scholz, Alvaro Ortiz Perez, Benedikt Bierer, Jürgen Wöllenstein, and Stefan Palzer
J. Sens. Sens. Syst., 7, 535–541, https://doi.org/10.5194/jsss-7-535-2018, https://doi.org/10.5194/jsss-7-535-2018, 2018
Short summary
Short summary
The availability of datasets providing information on the spatial and temporal evolution of greenhouse gas concentrations is of high relevance for the development of reliable climate simulations. Here we present a novel, non-dispersive infrared absorption spectroscopy (NDIR) device that can possibly act as a central building block of a sensor node to provide high-quality data of carbon dioxide (CO2) concentrations under field conditions at a high measurement rate.
Jonas Jung, Anja Blüher, Mathias Lakatos, and Gianaurelio Cuniberti
J. Sens. Sens. Syst., 7, 433–441, https://doi.org/10.5194/jsss-7-433-2018, https://doi.org/10.5194/jsss-7-433-2018, 2018
Short summary
Short summary
We assessed the applicability of bacterial surface layer proteins of Lysinibacillus sphaericus JG-B53 and Sporosarcina ureae ATCC 13881 for the detection of metal ions in water. Based on the interactions of the cell components with metal complexes, two potential sensor systems, one colorimetric with functionalized gold nanoparticles and the other using a regenerative sensor layer, were developed. The systems' detection limits of YCl3 in water were 1.67 x 10−5 and 1 x 10−4 mol L−1, respectively.
Tilman Sauerwald, Tobias Baur, Martin Leidinger, Wolfhard Reimringer, Laurent Spinelle, Michel Gerboles, Gertjan Kok, and Andreas Schütze
J. Sens. Sens. Syst., 7, 235–243, https://doi.org/10.5194/jsss-7-235-2018, https://doi.org/10.5194/jsss-7-235-2018, 2018
Short summary
Short summary
For detection of benzene, a multichannel gas sensor system was tested in two different laboratories at the concentration range from 0.5 ppb up to 10 ppb. A model is used to extract the channels and multilinear regression is done to compensate cross interference to other gases. Depending on the measurement conditions, the quantification accuracy is between ±0.2 ppb and ±2 ppb. Regression models for one laboratory were transferable between the labs under comparable measurement conditions.
Rahima Sidi-Boulenouar, Ariston Reis, Eric Nativel, Simon Buy, Pauline de Pellegars, Pan Liu, Michel Zanca, Christophe Goze-Bac, Jérome Barbat, Eric Alibert, Jean-Luc Verdeil, Frédéric Gatineau, Nadia Bertin, Atma Anand, and Christophe Coillot
J. Sens. Sens. Syst., 7, 227–234, https://doi.org/10.5194/jsss-7-227-2018, https://doi.org/10.5194/jsss-7-227-2018, 2018
Olga Driesner, Fred Gumprecht, and Ulrich Guth
J. Sens. Sens. Syst., 6, 327–330, https://doi.org/10.5194/jsss-6-327-2017, https://doi.org/10.5194/jsss-6-327-2017, 2017
Binayak Ojha, Navas Illyaskutty, Jens Knoblauch, Muthu Raman Balachandran, and Heinz Kohler
J. Sens. Sens. Syst., 6, 237–246, https://doi.org/10.5194/jsss-6-237-2017, https://doi.org/10.5194/jsss-6-237-2017, 2017
Short summary
Short summary
A novel combustion airstream control concept has been developed based on in situ sensors for combustion temperature, residual oxygen concentration and residual un-combusted CO / HC components. The implementation of this control concept allows for a large reduction in toxic gas emissions by up to 80 % compared to hand-operated furnaces. A stable long-term CO / HC sensor for such an application is not available; thus, the long-term sensor signal stability of different CO / HC sensors is studied.
W. Minkina and D. Klecha
J. Sens. Sens. Syst., 5, 17–23, https://doi.org/10.5194/jsss-5-17-2016, https://doi.org/10.5194/jsss-5-17-2016, 2016
Short summary
Short summary
The aim of this paper is to discuss different models that describe atmospheric transmission in the infrared. They were compared in order to choose the most appropriate one for certain atmospheric conditions. Universal models and different inaccuracies connected with them were analysed in this paper. There have been models analysed from the literature, and these are used in infrared cameras.
H. S. Wasisto, S. Merzsch, E. Uhde, A. Waag, and E. Peiner
J. Sens. Sens. Syst., 4, 111–123, https://doi.org/10.5194/jsss-4-111-2015, https://doi.org/10.5194/jsss-4-111-2015, 2015
Short summary
Short summary
The performance of a low-cost partially integrated cantilever-based airborne nanoparticle (NP) detector (CANTOR-1) is evaluated in terms of its real-time measurement and robustness. The device is used for direct reading of exposure to airborne carbon engineered nanoparticles (ENPs) in indoor workplaces.
S. G. Nedilko, S. L. Revo, V. P. Chornii, V. P. Scherbatskyi, and M. S. Nedielko
J. Sens. Sens. Syst., 4, 31–36, https://doi.org/10.5194/jsss-4-31-2015, https://doi.org/10.5194/jsss-4-31-2015, 2015
Short summary
Short summary
Microcrystalline cellulose, microcrystalline nitrite powders of common formulae MNO2, (M = Na, K) and two-component materials (cellulose + nitrite) have been prepared and characterized by means of optical microscopy and luminescence spectroscopy.The method of determining the nitrite compound traces via their sorption by cellulose using luminescent properties of the NO2- molecular ion has been developed and the low limit of NaNO2 determination in water solution was evaluated as 0.035 mg/l.
D. Puglisi, J. Eriksson, C. Bur, A. Schuetze, A. Lloyd Spetz, and M. Andersson
J. Sens. Sens. Syst., 4, 1–8, https://doi.org/10.5194/jsss-4-1-2015, https://doi.org/10.5194/jsss-4-1-2015, 2015
Short summary
Short summary
This study aims at the development of high-performance and cost-efficient gas sensors for sensitive detection of three specific hazardous gases, i.e., formaldehyde, naphthalene, and benzene, commonly present in indoor environments in concentrations of health concern. We used silicon carbide field effect transistors to investigate the sensor performance and characteristics under different levels of relative humidity up to 60%, demonstrating excellent detection limits in the sub-ppb range.
C. Bur, M. Bastuck, A. Schütze, J. Juuti, A. Lloyd Spetz, and M. Andersson
J. Sens. Sens. Syst., 3, 305–313, https://doi.org/10.5194/jsss-3-305-2014, https://doi.org/10.5194/jsss-3-305-2014, 2014
T. Mazingue, M. Lomello-Tafin, M. Passard, C. Hernandez-Rodriguez, L. Goujon, J.-L. Rousset, F. Morfin, and J.-F. Laithier
J. Sens. Sens. Syst., 3, 273–280, https://doi.org/10.5194/jsss-3-273-2014, https://doi.org/10.5194/jsss-3-273-2014, 2014
Short summary
Short summary
In this article, we propose detecting hydrogen (H2) traces at room temperature with nanostructured PdPt/Al2O3 catalysts. We measure the temperature rise during the exothermic oxidation of H2 by the catalyst. An appropriate formulation of about 1 mg of PdPt/Al2O3 leads to reversible thermal responses of 3°C in only 5 s. We show that this active material is a promising candidate for autonomous and reversible passive transducers for H2 sensors working at room temperature in explosive atmospheres.
M. Leidinger, T. Sauerwald, W. Reimringer, G. Ventura, and A. Schütze
J. Sens. Sens. Syst., 3, 253–263, https://doi.org/10.5194/jsss-3-253-2014, https://doi.org/10.5194/jsss-3-253-2014, 2014
Short summary
Short summary
An approach for detecting hazardous volatile organic compounds (VOCs) in ppb and sub-ppb concentrations is presented. Using metal oxide semiconductor (MOS) gas sensors in temperature cycled operation, VOCs in trace concentrations are successfully identified against a varying ethanol background of up to 2 ppm. For signal processing, linear discriminant analysis is applied to single sensor data and sensor fusion data. Integrated gas sensor systems using the same MOS sensors were characterized.
M. Bektas, D. Hanft, D. Schönauer-Kamin, T. Stöcker, G. Hagen, and R. Moos
J. Sens. Sens. Syst., 3, 223–229, https://doi.org/10.5194/jsss-3-223-2014, https://doi.org/10.5194/jsss-3-223-2014, 2014
F. P. Pentaris
J. Sens. Sens. Syst., 3, 145–165, https://doi.org/10.5194/jsss-3-145-2014, https://doi.org/10.5194/jsss-3-145-2014, 2014
B. Fabbri, S. Gherardi, A. Giberti, V. Guidi, and C. Malagù
J. Sens. Sens. Syst., 3, 61–67, https://doi.org/10.5194/jsss-3-61-2014, https://doi.org/10.5194/jsss-3-61-2014, 2014
Cited articles
Atmel: AT86RF230, Atmel, available at: http://www.atmel.com/images/doc5131.pdf (last access: 28 March 2017), 2009.
Berry, M. W. and Kogan, J.: Text Mining: Applications and Theory, Wiley, 2010.
Chakraverty, S.: Mathematics of Uncertainty Modeling in the Analysis of Engineering and Science Problems, IGI Global, 2014.
Farid, Z., Nordin, R., and Ismail, M.: Recent advances in wireless indoor localization techniques and system, Journal of Computer Networks and Communications, 2013.
Garg, V. K.: Wireless Communications & Networking, Elsevier Morgan Kaufmann, 2007.
Hsu, C.-C., Yeh, S.-S., and Hsu, P.-L.: Particle filter design for mobile robot localization based on received signal strength indicator, T. I. Meas. Control, 38, 1311–1319, https://doi.org/10.1177/0142331215586615, 2016.
Huang, X., Fan, J., Wu, M., and Gu, Y.: Indoor Mobile Robot Positioning Based on Wireless Fingerprint Matching, World Academy of Science, Engineering and Technology, International Journal of Computer, Electrical, Automation, Control and Information Engineering, 10, 1198–1202, 2016.
Kodippili, N. S. and Dias, D.: Integration of fingerprinting and trilateration techniques for improved indoor localization, in: 2010 Seventh International Conference on Wireless and Optical Communications Networks – (WOCN), 1–6, https://doi.org/10.1109/WOCN.2010.5587342, 2010.
Ma, R., Guo, Q., Hu, C., and Xue, J.: An improved WiFi indoor positioning algorithm by weighted fusion, Sensors, 15, 21824–21843, 2015.
Röwekämper, J., Sprunk, C., Tipaldi, G. D., Stachniss, C., Pfaff, P., and Burgard, W.: On the position accuracy of mobile robot localization based on particle filters combined with scan matching, in: 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, 3158–3164, https://doi.org/10.1109/IROS.2012.6385988, 2012.
Shi, Y.: Emerging Research on Swarm Intelligence and Algorithm Optimization, Hershey: IGI Global, 2015.
Yang, Z. and Liu, Y.: Quality of Trilateration: Confidence-Based Iterative Localization, IEEE T. Parall. Distr., 21, 631–640, https://doi.org/10.1109/TPDS.2009.90, 2010.
Zhang, A., Yuan, Y., Wu, Q., Zhu, S., and Deng, J.: Wireless Localization Based on RSSI Fingerprint Feature Vector, Int. J. Distrib. Sens. N., 11, 528–747, https://doi.org/10.1155/2015/528747, 2015.
Zhang, L., Lim, C.-C., Chen, Y., and Karimi, H. R.: Tracking mobile robot in indoor wireless sensor networks, Mathematical Problems in Engineering, 2014.
Short summary
We studied the problem of wireless indoor mobile robot localization and tracking using noise-free data and data with additive white Gaussian noise at three receiver positions. We proposed a new scanning method to overcome the drawbacks of fingerprint, which includes time-consuming construction of a database and its need for rebuilding every time a significant change in the environment occurs.
We studied the problem of wireless indoor mobile robot localization and tracking using...
