An Application of LoRa Technology for SDIoV Network The paper is devoted to the study of the possibility of using LoRa technology for implementation of interactions between nodes of SoftwareDefined Internet of Vehicles (SDIoV). Features of possible applications of LoRa technology to the SDIoV network are examined in the light of interactions between various networks, which include traffic participants and elements of the transport infrastructure. The concept of forming closed groups of road users to provide them with a closed subnet service based on the SDIoV virtual local area network is proposed. A laboratory test bench is proposed that imitates various road users for simulation and field experiments.

Fast and Reliable LoRabased Data Transmissions LoRaWAN is a recently proposed MAC layer protocol which manages communications between LoRabased gateways and enddevices. It has attracted much scientific attention due its physical layer characteristics, but mainly due to its versatile configuration parameters. However, it is known that LoRaWANbased transmissions suffer from extensive collisions due to the unregulated access to the medium. For this reason, various techniques that alleviate the burst of collisions have been proposed in the literature. In this paper, we deal with the problem of fast data delivery in LoRabased networks. We model a network where transmissions follow a Poisson process. We compute the average packet success probability per Spreading Factor (SF) assuming orthogonal transmissions. We, then, formulate an SF optimization problem to maximize the success probability given an amount of data per node and a maximum data collection time window. We show xe2x80x93 both theoretically and using simulations xe2x80x93 that the overall success probability can be improved by approximately 100% using optimal SF assignments. We validate our findings using a 10node testbed and extensive experiments. Despite that experiments reveal the existence of interSF interference, our solution still provides the best performance compared to other LoRaWAN configurations.