Modeling Communication Reliability in LoRa Networks with Device-level Accuracy

Veronica Toro Betancur*, Gopika Premsankar, Mariusz Slabicki, Mario Di Francesco

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

2 Citations (Scopus)
77 Downloads (Pure)

Abstract

Long Range (LoRa) is a low-power wireless communication technology for long-range connectivity, extensively used in the Internet of Things. Several works in the literature have analytically characterized the performance of LoRa networks, with particular focus on scalability and reliability. However, most of the related models are limited, as they cannot account for factors that occur in practice, or make strong assumptions on how devices are deployed in the network. This article proposes an analytical model that describes the delivery ratio in a LoRa network with device-level granularity. Specifically, it considers the impact of several key factors that affect real deployments, including multiple gateways and channel variation. Therefore, the proposed model can effectively evaluate the delivery ratio in realistic network topologies, without any restrictions on device deployment or configuration. It also accurately characterizes the delivery ratio of each device in a network, as demonstrated by extensive simulations in a wide variety of conditions, including diverse networks in terms of node deployment and link-level parameter settings. The proposed model provides a level of detail that is not available in the state of the art, and it matches the simulation results within an error of a few percentage points.

Original languageEnglish
Title of host publicationINFOCOM 2021 - IEEE Conference on Computer Communications
PublisherIEEE
Number of pages10
ISBN (Electronic)978-0-7381-1281-7
DOIs
Publication statusPublished - 10 May 2021
MoE publication typeA4 Article in a conference publication
EventIEEE Conference on Computer Communications - Virtual Conference, Vancouver, Canada
Duration: 10 May 202113 May 2021
Conference number: 39

Conference

ConferenceIEEE Conference on Computer Communications
Abbreviated titleINFOCOM
Country/TerritoryCanada
CityVancouver
Period10/05/202113/05/2021

Fingerprint

Dive into the research topics of 'Modeling Communication Reliability in LoRa Networks with Device-level Accuracy'. Together they form a unique fingerprint.

Cite this