LoPATraN: Low Power Asset Tracking by Means of Narrow Band IoT (NB-IoT) Technology.

GPS IoT LPWAN NB-IoT asset tracking low power devices tracking system

Journal

Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366

Informations de publication

Date de publication:
29 May 2021
Historique:
received: 20 04 2021
revised: 24 05 2021
accepted: 26 05 2021
entrez: 2 6 2021
pubmed: 3 6 2021
medline: 3 6 2021
Statut: epublish

Résumé

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.

Identifiants

pubmed: 34072302
pii: s21113772
doi: 10.3390/s21113772
pmc: PMC8199099
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Références

Sensors (Basel). 2020 Oct 14;20(20):
pubmed: 33066683
Sensors (Basel). 2020 Oct 29;20(21):
pubmed: 33138281

Auteurs

Stefano Parrino (S)

Department of Information Engineering and Mathematics, University of Siena, 53100 Siena, Italy.

Giacomo Peruzzi (G)

Department of Information Engineering and Mathematics, University of Siena, 53100 Siena, Italy.

Alessandro Pozzebon (A)

Department of Information Engineering and Mathematics, University of Siena, 53100 Siena, Italy.

Classifications MeSH