| Title |
On the use of LoRaWAN for the Internet of Intelligent Vehicles in Smart City scenarios |
| ID_Doc |
38541 |
| Authors |
Ferrari, P; Sisinni, E; Carvalho, DF; Depari, A; Signoretti, G; Silva, M; Silva, I; Silva, D |
| Title |
On the use of LoRaWAN for the Internet of Intelligent Vehicles in Smart City scenarios |
| Year |
2020 |
| Published |
|
| DOI |
10.1109/sas48726.2020.9220069 |
| Abstract |
Automotive world is changing with the introduction of Intelligent Vehicles. Today, an increasing number of vehicles may send data to the Internet, helping car manufacturer to implement the Industry 4.0 paradigm. The collected data during the lifetime of the vehicles can be used to improve both product and production facilities. Moreover, the availability of additional data coming from onboard sensors could be used to obtain information about the environment surrounding the vehicle. The Smart City scenario includes an extraordinary number of new sensors (in urban area) and vehicles can be thought as additional mobile sensors. This paper describes the prototype of a Vehicle-to-Cloud interface with OBD-II (On Board Diagnostic) communication, 3G/4G connectivity, and LoRaWAN [used as backup channel]. LoRaWAN infrastructures are largely diffused in Smart Cities and they can provide a suitable alternative to cover some areas when 3G/4G fails. Last, considering the Smart City scenarios, this paper discusses the application constrains and design directions to achieve a correct integration between LoRaWAN infrastructure and the Internet of Intelligent Vehicles. |
| Author Keywords |
Internet of Intelligent Vehicles; OBD-II; Edge Computing; Low Power WAN; Wireless sensor networks |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000758443500057 |
| WoS Category |
Engineering, Electrical & Electronic; Instruments & Instrumentation; Remote Sensing |
| Research Area |
Engineering; Instruments & Instrumentation; Remote Sensing |
| PDF |
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