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LIBRIS Formathandbok  (Information om MARC21)
FältnamnIndikatorerMetadata
00003955naa a2200481 4500
001oai:DiVA.org:uu-306901
003SwePub
008161104s2016 | |||||||||||000 ||eng|
009oai:DiVA.org:ri-28257
024a https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-3069012 URI
024a https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-282572 URI
024a https://doi.org/10.1145/2988287.29891632 DOI
040 a (SwePub)uud (SwePub)ri
041 a engb eng
042 9 SwePub
072 7a ref2 swepub-contenttype
072 7a kon2 swepub-publicationtype
100a Bor, Martinu Lancaster University, UK4 aut
2451 0a Do LoRa Low-Power Wide-Area Networks Scale?
264 1a New York, NY, USA :b ACM,c 2016
338 a electronic2 rdacarrier
520 a New Internet of Things (IoT) technologies such as LongRange (LoRa) are emerging which enable power ecientwireless communication over very long distances. Devicestypically communicate directly to a sink node which removesthe need of constructing and maintaining a complex multi-hop network. Given the fact that a wide area is coveredand that all devices communicate directly to a few sinknodes a large number of nodes have to share the commu-nication medium. LoRa provides for this reason a rangeof communication options (centre frequency, spreading fac-tor, bandwidth, coding rates) from which a transmitter canchoose. Many combination settings are orthogonal and pro-vide simultaneous collision free communications. Neverthe-less, there is a limit regarding the number of transmitters aLoRa system can support. In this paper we investigate thecapacity limits of LoRa networks. Using experiments wedevelop models describing LoRa communication behaviour.We use these models to parameterise a LoRa simulation tostudy scalability. Our experiments show that a typical smartcity deployment can support 120 nodes per 3.8 ha, which isnot sucient for future IoT deployments. LoRa networkscan scale quite well, however, if they use dynamic commu-nication parameter selection and/or multiple sinks.
650 7a NATURVETENSKAPx Data- och informationsvetenskapx Datorteknik0 (SwePub)102062 hsv//swe
650 7a NATURAL SCIENCESx Computer and Information Sciencesx Computer Engineering0 (SwePub)102062 hsv//eng
650 7a NATURVETENSKAPx Data- och informationsvetenskap0 (SwePub)1022 hsv//swe
650 7a NATURAL SCIENCESx Computer and Information Sciences0 (SwePub)1022 hsv//eng
653 a LoRa
653 a Low-Power Wide-Area Network
653 a Scalability Analysis
653 a Datavetenskap med inriktning mot datorkommunikation
653 a Computer Science with specialization in Computer Communication
700a Roedig, Utzu Lancaster University, UK4 aut
700a Voigt, Thiemou RISE,Uppsala universitet,Datorarkitektur och datorkommunikation,UNO,Computer Systems Laboratory,Uppsala University, Sweden4 aut0 (Swepub:ri)ThiemoVo@ri.se
700a Alonso, Juanu Univ. Nac. de Cuyo, Argentina,National University of Cuyo, Argentina; National University of San Luis, Argentina4 aut
710a Lancaster University, UKb Datorarkitektur och datorkommunikation4 org
773t Proceedings of the 19th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systemsd New York, NY, USA : ACMg , s. 59-67q <59-67z 9781450345026
856u https://uu.diva-portal.org/smash/get/diva2:1044681/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
856u https://doi.org/10.1145/2988287.2989163y Fulltext
856u https://ri.diva-portal.org/smash/get/diva2:1075949/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print
856u http://dl.acm.org/ft_gateway.cfm?id=2989163&type=pdf
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-306901
8564 8u https://urn.kb.se/resolve?urn=urn:nbn:se:ri:diva-28257
8564 8u https://doi.org/10.1145/2988287.2989163

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Bor, Martin
Roedig, Utz
Voigt, Thiemo
Alonso, Juan
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RISE

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