On the evaluation of LoRaWAN virtual channels orthogonality for dense distributed systemsShow others and affiliations
2017 (English)In: 2017 IEEE International Workshop on Measurement and Network (M&N), IEEE, 2017, p. 85-90, article id 8078371Conference paper, Published paper (Refereed)
Abstract [en]
Internet of Things (IoT) aims at collecting data from billions of devices connected altogether. Despite there is no one technology able to cope with all possible scenarios, LPWAN solutions are emerging as viable technologies for implementing private, low-cost cellular like wireless networks. Distributed systems could leverage this approach as a driving technology for services as smart environment sensing, pervasive sensing and soon. In the considered scenario, the capacity of the network is of main importance; even if communication is sporadic for most of the time, an event observed by many nodes results in a huge amount of simultaneous transmissions. Are the IoT technologies usable to this end? In this paper LoRaWAN technology is investigated, with the aim of evaluating the orthogonality of virtual channels permitted by the LoRa physical layer. In particular, measurements demonstrated that overlapping transmissions having the same power at the receiver can be correctly decoded if occurring with different spreading factors, whereas co-spread messages require at least 4ms spacing.
Place, publisher, year, edition, pages
IEEE, 2017. p. 85-90, article id 8078371
Keywords [en]
LoRaWAN, distributed measurements, IoT, LPWAN, CSS
National Category
Computer Engineering Communication Systems Telecommunications
Identifiers
URN: urn:nbn:se:miun:diva-31360DOI: 10.1109/IWMN.2017.8078371ISI: 000426970300016Scopus ID: 2-s2.0-85035815708ISBN: 978-1-5090-5679-8 (electronic)OAI: oai:DiVA.org:miun-31360DiVA, id: diva2:1130490
Conference
4th IEEE International Workshop on Measurement and Network (M&N), Naples, Italy, 27-29 Sept. 2017
Projects
BresciaTIMELINESS
Funder
Knowledge Foundation2017-08-092017-08-092021-04-28Bibliographically approved