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dc.contributor.author LAVRIC, Alexandru
dc.contributor.author POPA, Valentin
dc.date.accessioned 2019-11-22T10:16:51Z
dc.date.available 2019-11-22T10:16:51Z
dc.date.issued 2017
dc.identifier.citation LAVRIC, Alexandru, POPA, Valentin. A LoRaWAN: Long Range Wide Area Networks Study [Resursă electronică]. In: SIELMEN 2017: Proceedings of the 11-th international conference on electromechanical and power systems, 11-13 octombrie, 2017. Chișinău, 2017, pp. 435-438. ISBN 978-1-5386-1846-2. en_US
dc.identifier.isbn 978-1-5386-1846-2
dc.identifier.uri http://repository.utm.md/handle/5014/7135
dc.description Abstract & References en_US
dc.description.abstract The LPWAN (Low Power Wide Area Network) networks are the evolution of wireless sensor networks directed to the IoT (Internet of Things) concept, which entails sensor connectivity to the Internet. This paper presents a performance evaluation of the LoRa wireless networks. LoRa technology represents a possible solution to the problems of the IoT (Internet of Things) concept. The used frequency bands belong to the unlicensed ISM (Industrial, Scientific and Medical) frequency band. Thus, the parameters analyzed are: ToA (Time on Air), the bitrate and the Spreading Factor (SF) influence on performance level. From the obtained results, can be observed that with the increase of the SF parameter the time that the LoRa communication packet spends in the air is increased. If the bandwidth of the communication channel is increased the ToA parameter will decrease significantly. en_US
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject LPWAN en_US
dc.subject low-power wide-area network en_US
dc.subject LoRa en_US
dc.subject Long Range en_US
dc.subject WSN en_US
dc.subject Wireless sensor network en_US
dc.subject Internet of things en_US
dc.title A LoRaWAN: Long Range Wide Area Networks Study en_US
dc.type Article en_US


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    11-13 Oct. 2017

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