{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,25]],"date-time":"2026-04-25T09:45:57Z","timestamp":1777110357537,"version":"3.51.4"},"reference-count":22,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2018,4,10]],"date-time":"2018-04-10T00:00:00Z","timestamp":1523318400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Data"],"abstract":"<jats:p>Because of the increasing relevance of the Internet of Things and location-based services, researchers are evaluating wireless positioning techniques, such as fingerprinting, on Low Power Wide Area Network (LPWAN) communication. In order to evaluate fingerprinting in large outdoor environments, extensive, time-consuming measurement campaigns need to be conducted to create useful datasets. This paper presents three LPWAN datasets which are collected in large-scale urban and rural areas. The goal is to provide the research community with a tool to evaluate fingerprinting algorithms in large outdoor environments. During a period of three months, numerous mobile devices periodically obtained location data via a GPS receiver which was transmitted via a Sigfox or LoRaWAN message. Together with network information, this location data is stored in the appropriate LPWAN dataset. The first results of our basic fingerprinting implementation, which is also clarified in this paper, indicate a mean location estimation error of 214.58 m for the rural Sigfox dataset, 688.97 m for the urban Sigfox dataset and 398.40 m for the urban LoRaWAN dataset. In the future, we will enlarge our current datasets and use them to evaluate and optimize our fingerprinting methods. Also, we intend to collect additional datasets for Sigfox, LoRaWAN and NB-IoT.<\/jats:p>","DOI":"10.3390\/data3020013","type":"journal-article","created":{"date-parts":[[2018,4,10]],"date-time":"2018-04-10T13:06:08Z","timestamp":1523365568000},"page":"13","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":111,"title":["Sigfox and LoRaWAN Datasets for Fingerprint Localization in Large Urban and Rural Areas"],"prefix":"10.3390","volume":"3","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0527-3871","authenticated-orcid":false,"given":"Michiel","family":"Aernouts","sequence":"first","affiliation":[{"name":"IDLab\u2014Faculty of Applied Engineering, University of Antwerp\u2014imec, Groenenborgerlaan 171, 2020 Antwerp, Belgium"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0064-5020","authenticated-orcid":false,"given":"Rafael","family":"Berkvens","sequence":"additional","affiliation":[{"name":"IDLab\u2014Faculty of Applied Engineering, University of Antwerp\u2014imec, Groenenborgerlaan 171, 2020 Antwerp, Belgium"}]},{"given":"Koen","family":"Van Vlaenderen","sequence":"additional","affiliation":[{"name":"Sensolus NV, Rijsenbergstraat 148, 9000 Ghent, Belgium"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1152-6617","authenticated-orcid":false,"given":"Maarten","family":"Weyn","sequence":"additional","affiliation":[{"name":"IDLab\u2014Faculty of Applied Engineering, University of Antwerp\u2014imec, Groenenborgerlaan 171, 2020 Antwerp, Belgium"}]}],"member":"1968","published-online":{"date-parts":[[2018,4,10]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Margelis, G., Piechocki, R., Kaleshi, D., and Thomas, P. (2015, January 14\u201316). Low Throughput Networks for the IoT: Lessons learned from industrial implementations. Proceedings of the IEEE World Forum on Internet of Things (WF-IoT), Milan, Italy.","DOI":"10.1109\/WF-IoT.2015.7389049"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"855","DOI":"10.1109\/COMST.2017.2652320","article-title":"Low Power Wide Area Networks: An Overview","volume":"19","author":"Raza","year":"2017","journal-title":"IEEE Commun. Surveys Tutor."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Fargas, B.C., and Petersen, M.N. (2017, January 6\u20139). GPS-free geolocation using LoRa in low-power WANs. Proceedings of the 2017 Global Internet of Things Summit (GIoTS), Geneva, Switzerland.","DOI":"10.1109\/GIOTS.2017.8016251"},{"key":"ref_4","unstructured":"Bensky, A. (2008). Wireless Positioning Technologies and Applications, Artech House. [2nd ed.]."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1067","DOI":"10.1109\/TSMCC.2007.905750","article-title":"Survey of wireless indoor positioning techniques and systems","volume":"37","author":"Liu","year":"2007","journal-title":"IEEE Trans. Syst. Man Cybern. Part C Appl. Rev."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"2529","DOI":"10.1016\/j.comnet.2006.11.018","article-title":"Wireless sensor network localization techniques","volume":"51","author":"Mao","year":"2007","journal-title":"Comput. Netw."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"466","DOI":"10.1109\/COMST.2015.2464084","article-title":"Wi-Fi fingerprint-based indoor positioning: Recent advances and comparisons","volume":"18","author":"He","year":"2016","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Torres-Sospedra, J., Montoliu, R., Martinez-Uso, A., Avariento, J.P., Arnau, T.J., Benedito-Bordonau, M., and Huerta, J. (2014, January 27\u201330). UJIIndoorLoc: A new multi-building and multi-floor database for WLAN fingerprint-based indoor localization problems. Proceedings of the IPIN 2014\u20142014 International Conference on Indoor Positioning and Indoor Navigation, Busan, South Korea.","DOI":"10.1109\/IPIN.2014.7275492"},{"key":"ref_9","unstructured":"(2018, March 07). Sigfox\u2014The Global Communications Service Provider for the Internet of Things (IoT). Available online: https:\/\/www.sigfox.com\/en."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Augustin, A., Yi, J., Clausen, T., and Townsley, W. (2016). A Study of LoRa: Long Range and Low Power Networks for the Internet of Things. Sensors, 16.","DOI":"10.3390\/s16091466"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"117","DOI":"10.1109\/MCOM.2017.1600510CM","article-title":"A Primer on 3GPP Narrowband Internet of Things","volume":"55","author":"Wang","year":"2017","journal-title":"IEEE Commun. Mag."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Vejlgaard, B., Lauridsen, M., Nguyen, H., Kovacs, I.Z., Mogensen, P., and Sorensen, M. (2017, January 4\u20137). Coverage and Capacity Analysis of Sigfox, LoRa, GPRS, and NB-IoT. Proceedings of the 2017 IEEE 85th Vehicular Technology Conference (VTC Spring), Sydney, Australia.","DOI":"10.1109\/VTCSpring.2017.8108666"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"70","DOI":"10.1109\/MSP.2005.1458289","article-title":"Localization via ultra-wideband radios: A look at positioning aspects for future sensor networks","volume":"22","author":"Gezici","year":"2005","journal-title":"IEEE Signal Process. Mag."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Sallouha, H., Chiumento, A., and Pollin, S. (2017, January 21\u201325). Localization in long-range ultra narrow band IoT networks using RSSI. Proceedings of the 2017 IEEE International Conference on Communications (ICC), Paris, France.","DOI":"10.1109\/ICC.2017.7997195"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Janssen, T., Weyn, M., and Berkvens, R. (2017). Localization in Low Power Wide Area Networks Using Wi-Fi Fingerprints. Appl. Sci., 7.","DOI":"10.20944\/preprints201707.0034.v1"},{"key":"ref_16","unstructured":"(2018, March 07). LoRa Modulation Basics. Available online: https:\/\/www.semtech.com\/uploads\/documents\/an1200.22.pdf."},{"key":"ref_17","unstructured":"(2018, March 07). LoRaWAN Geolocation Whitepaper. Available online: https:\/\/docs.wixstatic.com\/ugd\/eccc1a_d43b3b29dfff4ec2b00f349ced4225c4.pdf."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Hu, S., Berg, A., Li, X., and Rusek, F. (2017, January 19\u201322). Improving the Performance of OTDOA Based Positioning in NB-IoT Systems. Proceedings of the GLOBECOM 2017\u20142017 IEEE Global Communications Conference, San Francisco, CA, USA.","DOI":"10.1109\/GLOCOM.2017.8254510"},{"key":"ref_19","unstructured":"(2018, March 07). Sensolus Stickntrack. Available online: http:\/\/www.sensolus.com\/stickntrack-gps\/."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Latre, S., Leroux, P., Coenen, T., Braem, B., Ballon, P., and Demeester, P. (2016, January 12\u201315). City of things: An integrated and multi-technology testbed for IoT smart city experiments. Proceedings of the 2016 IEEE International Smart Cities Conference (ISC2), Trento, Italy.","DOI":"10.1109\/ISC2.2016.7580875"},{"key":"ref_21","unstructured":"(2018, March 07). OCTA-Connect. Available online: http:\/\/www.octa-connect.com\/."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"9263","DOI":"10.1016\/j.eswa.2015.08.013","article-title":"Comprehensive analysis of distance and similarity measures for Wi-Fi fingerprinting indoor positioning systems","volume":"42","author":"Montoliu","year":"2015","journal-title":"Expert Syst. 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