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dc.contributor.authorAndersen, Emilen_GB
dc.contributor.authorBlaalid, Thomasen_GB
dc.contributor.authorEngstad, Hansen_GB
dc.contributor.authorRøkenes, Sigveen_GB
dc.contributor.authorJohnsen, Frank T.en_GB
dc.date.accessioned2021-06-23T06:24:51Z
dc.date.accessioned2021-07-13T07:46:34Z
dc.date.available2021-06-23T06:24:51Z
dc.date.available2021-07-13T07:46:34Z
dc.date.issued2020
dc.identifier.citationAndersen, Blaalid, Engstad, Røkenes, Johnsen FT. A LoRa Mesh Network Asset Tracking Prototype. Annals of Computer Science and Information Systems. 2020;21:501-510en_GB
dc.identifier.urihttp://hdl.handle.net/20.500.12242/2920
dc.descriptionAndersen, Emil; Blaalid, Thomas; Engstad, Hans; Røkenes, Sigve; Johnsen, Frank T.. A LoRa Mesh Network Asset Tracking Prototype. Annals of Computer Science and Information Systems 2020 ;Volum 21. s. 501-510en_GB
dc.description.abstractLong Range (LoRa) is a low powered wide area communications technology, which uses radio frequencies in the industrial, scientific and medical (ISM) band to transmit data over long distances. Due to these properties, i.e., the long range and little restrictions on deployment and use, LoRa is a good candidate for building an asset tracking application on, for example targeting search and rescue operations. This paper describes the development and testing of such a prototype, using commercial off-the-shelf Internet of Things (IoT) consumer devices and a proprietary mesh protocol. The prototype enables distributed position tracking utilizing the Global Positioning System (GPS), a gateway to the Internet, a server for data storage and analysis, as well as a Web application for visualizing position tracking data. The devices are small, and our tests have included both personnel on foot carrying the equipment, as well as having the devices on vehicles.en_GB
dc.language.isoenen_GB
dc.subjectInformasjonsteknologien_GB
dc.subjectKommunikasjonsteknologien_GB
dc.subjectEksperimenteringen_GB
dc.subjectTingenes internett (IoT)en_GB
dc.titleA LoRa Mesh Network Asset Tracking Prototypeen_GB
dc.typeArticleen_GB
dc.date.updated2021-06-23T06:24:50Z
dc.identifier.cristinID1867879
dc.identifier.doi10.15439/2020F99
dc.source.issn2300-5963
dc.type.documentJournal article
dc.relation.journalAnnals of Computer Science and Information Systems


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