Publicación:
Large Scale LoRa Networks: From Homogeneous to Heterogeneous Deployments
Large Scale LoRa Networks: From Homogeneous to Heterogeneous Deployments
No hay miniatura disponible
Fecha
2018
Autores
Ochoa M.N.
Suraty L.
Maman M.
Duda A.
Título de la revista
Revista ISSN
Título del volumen
Editor
IEEE Computer Society
Proyectos de investigación
Unidades organizativas
Número de la revista
Abstracto
LoRa technology has emerged as an interesting solution for Low Power Wide Area (LPWA) applications. The main LPWA research directions are about large scale networks to support massive number of devices, interference issues, link optimization and adaptability. Thus heterogeneous network deployments and Spreading Factor (SF) allocation strategies need to be studied. In this paper, we investigate the performance of homogeneous networks (i.e. when all the nodes select the same LoRa configuration) and heterogeneous networks (i.e. when each node selects its LoRa configuration according to its link budget or their needs) for large scale deployments (up to 10000 nodes per gateway). For that purpose we have developed a LoRa Module, based on improved WSNet simulator, including a spectrum usage abstraction, the co-channel rejection due to the quasi-orthogonality of SFs and the gateway capture effect. Simulation results show the performance comparison in terms of reliability, network capacity and power consumption for homogeneous and heterogeneous deployments as a function of the number of nodes and the traffic intensity. The comparison shows the benefits of the heterogeneous deployment where each node selects its configuration according to its link budget.
Descripción
The work has been partly funded by the European Union Horizon 2020 research and innovation program under grant agreement No. 761745, the Government of Taiwan and by Cienciactiva-CONCYTEC of the Peruvian government
Palabras clave
Traffic intensity,
Budget control,
Heterogeneous networks,
Mobile computing,
Allocation strategy,
Homogeneous network,
Large-scale deployment,
Large-scale network,
Link optimization,
Performance comparison,
Quasi-orthogonality