Skip to Main Content (Press Enter)

Logo UNIPD
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Competenze

UNI-FIND
Logo UNIPD

|

UNI-FIND

unipd.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Terza Missione
  • Competenze
  1. Pubblicazioni

Combining LoRaWAN and NB-IoT for Edge-to-Cloud Low Power Connectivity Leveraging on Fog Computing

Articolo
Data di Pubblicazione:
2022
Abstract:
Low Power Wide Area Networks (LPWANs) play crucial roles in the implementation of low-power and low-cost wide area distributed systems. Currently, two enabling technologies are the main competitors within the connectivity field for the Internet of Things (IoT), primarily because of their scalability, wide range and low power features: Long Range Wide Area Network (LoRaWAN) and Narrowband IoT (NB-IoT). In this paper, a brand new network architecture is presented, which combines both aforementioned technologies. Such a network accounts for sensor nodes, multi-protocol gateways, an a cloud infrastructure. Sensor nodes may be alternatively provided with LoRaWAN or NB-IoT. Multi-protocol gateways can receive and demodulate LoRaWAN packets and upload them to the cloud via the Message Queue Telemetry Transport (MQTT) protocol over NB-IoT. The cloud is transparent with respect to the transmission technology, meaning that data are acquired and stored regardless of the exploited technique (i.e., LoRaWAN or NB-IoT). Indeed, sensor nodes using NB-IoT can send data to the cloud and can directly communicate with other NB-IoT nodes setting up a fog computing paradigm on peer-to-peer subnetworks. This approach may be crucial for the development of complex IoT infrastructures while providing high flexibility.
Tipologia CRIS:
01.01 - Articolo in rivista
Keywords:
Cloud; Edge computing; Fog computing; LoRaWAN; Low power; MQTT; NB-IoT; Peer-to-peer
Elenco autori:
Peruzzi, G.; Pozzebon, A.
Autori di Ateneo:
PERUZZI GIACOMO
POZZEBON ALESSANDRO
Link alla scheda completa:
https://www.research.unipd.it/handle/11577/3457650
Link al Full Text:
https://www.research.unipd.it//retrieve/handle/11577/3457650/621613/applsci-12-01497.pdf
Pubblicato in:
APPLIED SCIENCES
Journal
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0