LoRaWAN (Long Range Wide Area Network) is an interesting network technology for building ultra low-power instances of the Internet of Things (IoT) and motivated a significant interest in the recent literature. The contribution of this paper is twofold. First, we devise a model to evaluate the performance of algorithms used for assigning the best "resource patterns" to transmit packets on the wireless interface of LoRa; to this end, we adopt a Spatial Point Process to model the distribution of nodes in the system and we apply such a model to derive, in a compact way, the performance of a Spreading Factor allocation mechanism proposed in the literature. A second contribution of the paper consists in the definition of a new metric to estimate the network performance and of a new protocol to dynamically improve the above assignment algorithm. Both the metric and the algorithm are based on a re-transmission mechanism. © 2019 Association for Computing Machinery.
|Titolo:||An on-line spreading factor allocation for a LoRaWAN network|
|Data di pubblicazione:||2019|
|Citazione:||An on-line spreading factor allocation for a LoRaWAN network / Cuomo, F.; Maurizio, A.; Scipione, L.; Melazzi, N. B.. - (2019), pp. 115-119. ((Intervento presentato al convegno 5th International Conference on Computing and Artificial Intelligence, ICCAI 2019 tenutosi a Bali.|
|Appare nella tipologia:||04b Atto di convegno in volume|