Optimizing Mobility in LoRaWan: A Resource Reservation Approach
Publication Type
Conference Proceeding
Publication Date (Issue Year)
2023
Journal Name
Proceedings - IEEE Global Communications Conference, GLOBECOM
Abstract
The evolution of vehicular networks continues with the advent of LPWAN (Low Power Wide Area Network). Thus, several studies currently concern the integration of LPWANs with ITS (Intelligent Transportation Systems). Among these LPWANs, LoRa with LoRaWAN, with its coverage capabilities, support of mobility, and implementation cost, is in the spotlight. However, the latter presents performance problems in highly mobile environments. Therefore, optimizing mobility in LoRaWAN is imperative for its integration into ITS. This requires performance improvements such as loss containment in very dense environments. In this paper, a resource reservation approach is proposed. It is based on device trajectory prediction and traffic differentiation in a dense multi-operator environment. This mechanism aims at reserving resources before the arrival of the device on the predicted antenna, thus reducing the rejections at the join phase while favoring “its subscribers”.
Keywords
Performance evaluation, Quality of service, Trajectory, Internet of Things, Global communication, Intelligent transportation systems, Low-power wide area networks
Rsif Scholar Name
Ndeye Penda Fall
Thematic Area
ICTs Including Big Data and Artificial Intelligence
Africa Host University (AHU)
University of Gaston Berger (UGB), Senegal
Recommended Citation
Fall, N. P., Marot, M., Diallo, C., Bernard, A., & Roujanski, G. (2023). Optimizing Mobility in LoRaWan: A Resource Reservation Approach. Proceedings - IEEE Global Communications Conference, GLOBECOM, 7562-7567. https://doi.org/10.1109/GLOBECOM54140.2023.10437583