Adaptive configuration of LoRa networks for dense IoT deployments

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Slabicki, Mariusz
dc.contributor.author Premsankar, Gopika
dc.contributor.author Di Francesco, Mario
dc.date.accessioned 2018-12-10T10:12:10Z
dc.date.available 2018-12-10T10:12:10Z
dc.date.issued 2018
dc.identifier.citation Slabicki , M , Premsankar , G & Di Francesco , M 2018 , Adaptive configuration of LoRa networks for dense IoT deployments . in IEEE/IFIP Network Operations and Management Symposium : Cognitive Management in a Cyber World, NOMS 2018 . IEEE/IFIP Network Operations and Management Symposium , IEEE , pp. 1-9 , IEEE/IFIP Network Operations and Management Symposium , Taipei , Taiwan, Republic of China , 23/05/2018 . DOI: 10.1109/NOMS.2018.8406255 en
dc.identifier.isbn 9781538634165
dc.identifier.issn 2374-9709
dc.identifier.other PURE UUID: 24062acd-d18c-4afb-903c-59408e3e8739
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/adaptive-configuration-of-lora-networks-for-dense-iot-deployments(24062acd-d18c-4afb-903c-59408e3e8739).html
dc.identifier.other PURE LINK: https://flora.aalto.fi/download/slabicki2018adaptive.pdf
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/26392844/slabicki2018adaptive.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/34958
dc.description.abstract Large-scale Internet of Things (IoT) deployments demand long-range wireless communications, especially in urban and metropolitan areas. LoRa is one of the most promising technologies in this context due to its simplicity and flexibility. Indeed, deploying LoRa networks in dense IoT scenarios must achieve two main goals: efficient communications among a large number of devices and resilience against dynamic channel conditions due to demanding environmental settings (e.g., the presence of many buildings). This work investigates adaptive mechanisms to configure the communication parameters of LoRa networks in dense IoT scenarios. To this end, we develop FLoRa, an open-source framework for end-to-end LoRa simulations in OMNeT++. We then implement and evaluate the Adaptive Data Rate (ADR) mechanism built into LoRa to dynamically manage link parameters for scalable and efficient network operations. Extensive simulations show that ADR is effective in increasing the network delivery ratio under stable channel conditions, while keeping the energy consumption low. Our results also show that the performance of ADR is severely affected by a highly-varying wireless channel. We thereby propose an improved version of the original ADR mechanism to cope with variable channel conditions. Our proposed solution significantly increases both the reliability and the energy efficiency of communications over a noisy channel, almost irrespective of the network size. Finally, we show that the delivery ratio of very dense networks can be further improved by using a network-aware approach, wherein the link parameters are configured based on the global knowledge of the network. en
dc.format.extent 1-9
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher IEEE
dc.relation.ispartof IEEE/IFIP Network Operations and Management Symposium en
dc.relation.ispartofseries IEEE/IFIP Network Operations and Management Symposium en
dc.rights openAccess en
dc.subject.other 113 Computer and information sciences en
dc.title Adaptive configuration of LoRa networks for dense IoT deployments en
dc.type A4 Artikkeli konferenssijulkaisussa fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Computer Science
dc.subject.keyword Adaptive data rate
dc.subject.keyword Configuration management
dc.subject.keyword Energy efficiency
dc.subject.keyword LoRa
dc.subject.keyword Performance evaluation
dc.subject.keyword Reliability
dc.subject.keyword 113 Computer and information sciences
dc.identifier.urn URN:NBN:fi:aalto-201812105973
dc.identifier.doi 10.1109/NOMS.2018.8406255
dc.type.version acceptedVersion


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