{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,19]],"date-time":"2026-03-19T06:24:45Z","timestamp":1773901485139,"version":"3.50.1"},"reference-count":38,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2021,5,29]],"date-time":"2021-05-29T00:00:00Z","timestamp":1622246400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The narrowband Internet-of-Things (NB-IoT) communication standard is gaining momentum within the big picture of the Internet-of-Things (IoT) owing to its capabilities of ensuring pervasive and wide coverage while limiting power consumption. Therefore, it turns out to be a valuable enabling technology within a considerable number of applications. Apart from traditional remote monitoring and data acquisition purposes where comparable Low Power Wide Area Network (LPWAN) facilities have ruled for years, NB-IoT can potentially carve out space within specific alcoves in which low latency, low power, high data-rates and ubiquitous coverage are fundamentals requirements. Long term asset tracking definitely falls within such niches, and in particular NB-IoT can become a valuable alternative to be exploited by both replacing the conventional Global Position System (GPS) system, or supporting it. To this end, this paper proposes an innovative tracking system prototype for asset shipping which relies on two enabling technologies: GPS and NB-IoT. While position transmission is always put into effect via NB-IoT, it can be fetched by resorting to both GPS (like a standard tracker) or NB-IoT (thus establishing a GPS-less method). As a result, two localization techniques are arranged: the former one is preciser but energy hungrier, while the latter one is coarser but more low power. Such working principles were successfully tested on the field by means of two road tests in as much itineraries. Tests results are in agreement with the expectations underlying the two working principles since the finer one provides a more accurate tracking. In addition, a consumption analysis was also performed aiming at assessing the prototype lifetime. Finally, tests pursuing the assessment of the tracking error were carried out underling the fact that it strongly depends on the geographic deployment of NB-IoT towers.<\/jats:p>","DOI":"10.3390\/s21113772","type":"journal-article","created":{"date-parts":[[2021,5,31]],"date-time":"2021-05-31T03:45:29Z","timestamp":1622432729000},"page":"3772","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":21,"title":["LoPATraN: Low Power Asset Tracking by Means of Narrow Band IoT (NB-IoT) Technology"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9093-5162","authenticated-orcid":false,"given":"Stefano","family":"Parrino","sequence":"first","affiliation":[{"name":"Department of Information Engineering and Mathematics, University of Siena, 53100 Siena, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6311-7332","authenticated-orcid":false,"given":"Giacomo","family":"Peruzzi","sequence":"additional","affiliation":[{"name":"Department of Information Engineering and Mathematics, University of Siena, 53100 Siena, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3991-8858","authenticated-orcid":false,"given":"Alessandro","family":"Pozzebon","sequence":"additional","affiliation":[{"name":"Department of Information Engineering and Mathematics, University of Siena, 53100 Siena, Italy"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,5,29]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","unstructured":"Chuku, N., and Nasipuri, A. (2021). RSSI-Based localization schemes for wireless sensor networks using outlier detection. J. Sens. Actuator Netw., 10.","DOI":"10.3390\/jsan10010010"},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"9030","DOI":"10.1109\/JIOT.2021.3055677","article-title":"A New TOA Localization and Synchronization System with Virtually Synchronized Periodic Asymmetric Ranging Network","volume":"8","author":"Zhao","year":"2021","journal-title":"IEEE Internet Things J."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"3320","DOI":"10.1109\/TCSI.2020.2979347","article-title":"Real-time distance evaluation system for wireless localization","volume":"67","author":"Piccinni","year":"2020","journal-title":"IEEE Trans. Circuits Syst."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"3033","DOI":"10.1109\/TCSII.2020.2995064","article-title":"Angle of arrival estimation through a full-hardware approach for adaptive beamforming","volume":"67","author":"Avitabile","year":"2020","journal-title":"IEEE Trans. Circuits Syst."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Scheuner, J., Mazlami, G., Schoni, D., Stephan, S., De Carli, A., Bocek, T., and Stiller, B. (2016, January 7\u201310). Probr-a generic and passive WiFi tracking system. Proceedings of the 2016 IEEE 41st Conference on Local Computer Networks (LCN), Dubai, United Arab Emirates.","DOI":"10.1109\/LCN.2016.30"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1109\/TIM.2018.2851675","article-title":"RSSI-based indoor localization and identification for ZigBee wireless sensor networks in smart homes","volume":"68","author":"Bianchi","year":"2018","journal-title":"IEEE Trans. Instrum. Meas."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Bisio, I., Sciarrone, A., and Zappatore, S. (July, January 29). Asset tracking architecture with Bluetooth Low Energy tags and ad hoc smartphone applications. Proceedings of the 2015 European Conference on Networks and Communications (EuCNC), Paris, France.","DOI":"10.1109\/EuCNC.2015.7194118"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"1940","DOI":"10.1109\/TIE.2018.2833021","article-title":"Dynamic wireless indoor localization incorporating with an autonomous mobile robot based on an adaptive signal model fingerprinting approach","volume":"66","author":"Luo","year":"2018","journal-title":"IEEE Trans. Ind. Electron."},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"686","DOI":"10.1109\/TVT.2018.2883810","article-title":"A novel NLOS mitigation algorithm for UWB localization in harsh indoor environments","volume":"68","author":"Yu","year":"2018","journal-title":"IEEE Trans. Veh. Technol."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"2568","DOI":"10.1109\/COMST.2019.2911558","article-title":"A survey of indoor localization systems and technologies","volume":"21","author":"Zafari","year":"2019","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Liu, W., Liu, J., Jiang, H., Xu, B., Lin, H., Jiang, G., and Xing, J. (2016, January 27\u201330). WiLocator: WiFi-Sensing Based Real-Time Bus Tracking and Arrival Time Prediction in Urban Environments. Proceedings of the 2016 IEEE 36th International Conference on Distributed Computing Systems (ICDCS), Nara, Japan.","DOI":"10.1109\/ICDCS.2016.31"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Stephenson, M.J., and Hancke, G.P. (2015, January 1\u20134). Self-contained track and trace using GPRS. Proceedings of the TENCON 2015\u20132015 IEEE Region 10 Conference, Macao, China.","DOI":"10.1109\/TENCON.2015.7372995"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Pittino, F., Driusso, M., Dalla Torre, A., and Marshall, C. (2017, January 9\u201312). Outdoor and indoor experiments with localization using LTE signals. Proceedings of the 2017 European Navigation Conference (ENC), Lausanne, Switzerland.","DOI":"10.1109\/EURONAV.2017.7954223"},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Priyanta, I.F., Golatowski, F., Schulz, T., and Timmermann, D. (2019, January 14\u201317). Evaluation of LoRa technology for vehicle and asset tracking in smart harbors. Proceedings of the IECON 2019-45th Annual Conference of the IEEE Industrial Electronics Society, Lisbon, Portugal.","DOI":"10.1109\/IECON.2019.8927566"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Podevijn, N., Trogh, J., Aernouts, M., Berkvens, R., Martens, L., Weyn, M., Joseph, W., and Plets, D. (2020). LoRaWAN Geo-Tracking Using Map Matching and Compass Sensor Fusion. Sensors, 20.","DOI":"10.3390\/s20205815"},{"key":"ref_16","unstructured":"(2021, March 31). Sigfox Coverage. Available online: https:\/\/www.sigfox.com\/en\/coverage."},{"key":"ref_17","unstructured":"(2021, March 31). Atlas, Sigfox. Available online: https:\/\/atlas.sigfox.com."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Ribeiro, G.G., de Lima, L.F., Oliveira, L., Rodrigues, J.J., Marins, C.N., and Marcondes, G.A. (2018, January 3\u20136). An outdoor localization system based on SigFox. Proceedings of the 2018 IEEE 87th Vehicular Technology Conference (VTC Spring), Porto, Portugal.","DOI":"10.1109\/VTCSpring.2018.8417853"},{"key":"ref_19","doi-asserted-by":"crossref","unstructured":"Aernouts, M., Bellekens, B., Berkvens, R., and Weyn, M. (2018, January 25\u201326). A comparison of signal strength localization methods with sigfox. Proceedings of the 2018 15th Workshop on Positioning, Navigation and Communications (WPNC), Bremen, Germany.","DOI":"10.1109\/WPNC.2018.8555743"},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Mineo, A., Palesi, M., Patti, D., and Catania, V. (September, January 31). Cloud-Based Energy Efficient Scheme for Sigfox Monarch as Asset Tracking Service. Proceedings of the 2020 International Conference on Omni-layer Intelligent Systems (COINS), Barcelona, Spain.","DOI":"10.1109\/COINS49042.2020.9191398"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"179","DOI":"10.1109\/MCOM.2017.1700269","article-title":"Positioning for the internet of things: A 3GPP perspective","volume":"55","author":"Lin","year":"2017","journal-title":"IEEE Commun. Mag."},{"key":"ref_22","doi-asserted-by":"crossref","unstructured":"Ratasuk, R., Mangalvedhe, N., Bhatoolaul, D., and Ghosh, A. (2017, January 4\u20138). LTE-M evolution towards 5G massive MTC. Proceedings of the 2017 IEEE Globecom Workshops (GC Wkshps), Singapore.","DOI":"10.1109\/GLOCOMW.2017.8269112"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"5702","DOI":"10.1109\/JIOT.2019.2904799","article-title":"Exploring the performance boundaries of NB-IoT","volume":"6","author":"Martinez","year":"2019","journal-title":"IEEE Internet Things J."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Lombardo, A., Parrino, S., Peruzzi, G., and Pozzebon, A. (2021). LoRaWAN vs NB-IoT: Transmission Performance Analysis within Critical Environments. IEEE Internet Things J.","DOI":"10.1109\/JIOT.2021.3079567"},{"key":"ref_25","first-page":"1","article-title":"Observed time difference of arrival (OTDOA) positioning in 3GPP LTE","volume":"1","author":"Fischer","year":"2014","journal-title":"Qualcomm White Pap"},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Radnosrati, K., Hendeby, G., Fritsche, C., Gunnarsson, F., and Gustafsson, F. (2017, January 8\u201313). Performance of OTDOA positioning in narrowband IoT systems. Proceedings of the 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), Montreal, QC, Canada.","DOI":"10.1109\/PIMRC.2017.8292365"},{"key":"ref_27","doi-asserted-by":"crossref","unstructured":"Hu, S., Berg, A., Li, X., and Rusek, F. (2017, January 4\u20138). Improving the performance of OTDOA based positioning in NB-IoT systems. Proceedings of the GLOBECOM 2017-2017 IEEE Global Communications Conference, Singapore.","DOI":"10.1109\/GLOCOM.2017.8254510"},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Sobron, I., Landa, I., Eizmendi, I., and Velez, M. (2019, January 17\u201318). Adaptive TDOA Estimation for Positioning in NB-IoT. Proceedings of the 2019 IEEE International Conference on Electrical Engineering and Photonics (EExPolytech), St. Petersburg, Russia.","DOI":"10.1109\/EExPolytech.2019.8906855"},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Salomon, M., Lippuner, S., Korb, M., and Huang, Q. (2020, January 20\u201323). Implementation and performance evaluation of cellular NB-IoT OTDOA positioning. Proceedings of the 2020 IEEE\/ION Position, Location and Navigation Symposium (PLANS), Portland, OR, USA.","DOI":"10.1109\/PLANS46316.2020.9109877"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"1494","DOI":"10.1109\/JIOT.2017.2782479","article-title":"CSI amplitude fingerprinting-based NB-IoT indoor localization","volume":"5","author":"Song","year":"2017","journal-title":"IEEE Internet Things J."},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Janssen, T., Berkvens, R., and Weyn, M. (2020). RSS-Based Localization and Mobility Evaluation Using a Single NB-IoT Cell. Sensors, 20.","DOI":"10.3390\/s20216172"},{"key":"ref_32","first-page":"022087","article-title":"Narrowband-IoT network for asset tracking system","volume":"830","author":"Suryani","year":"2020","journal-title":"IOP Conf. Ser.-Mat. Sci."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"2928","DOI":"10.1109\/JIOT.2020.2964245","article-title":"Performance analysis of onshore NB-IoT for container tracking during near-the-shore vessel navigation","volume":"7","author":"Kavuri","year":"2020","journal-title":"IEEE Internet Things J."},{"key":"ref_34","unstructured":"(2021, March 22). Node-RED. Available online: https:\/\/nodered.org."},{"key":"ref_35","unstructured":"(2021, March 22). Node.js. Available online: https:\/\/nodejs.org\/en\/."},{"key":"ref_36","unstructured":"(2021, March 22). STMicroelectronics, STM32L0476xx, Datasheet. Available online: https:\/\/www.st.com\/resource\/en\/datasheet\/stm32l476rg.pdf."},{"key":"ref_37","unstructured":"(2021, March 22). SIMCom, SIM7000, Datasheet. Available online: https:\/\/simcom.ee\/documents\/SIM7000E\/SIM7000%20Hardware%20Design_V1.05.pdf."},{"key":"ref_38","unstructured":"(2021, March 22). OpenCelliD. Available online: http:\/\/www.opencellid.org\/."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/11\/3772\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T06:10:17Z","timestamp":1760163017000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/21\/11\/3772"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,5,29]]},"references-count":38,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2021,6]]}},"alternative-id":["s21113772"],"URL":"https:\/\/doi.org\/10.3390\/s21113772","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,5,29]]}}}