TY - GEN
T1 - Optimizing Mobility in LoRaWan
T2 - 2023 IEEE Global Communications Conference, GLOBECOM 2023
AU - Fall, Ndeye Penda
AU - Marot, Michel
AU - Diallo, Cherif
AU - Bernard, Antoine
AU - Roujanski, Gatien
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023/1/1
Y1 - 2023/1/1
N2 - 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'.
AB - 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'.
KW - LoRa
KW - LoRaWAN
KW - resource reservation
KW - service class
KW - vehicular
U2 - 10.1109/GLOBECOM54140.2023.10437583
DO - 10.1109/GLOBECOM54140.2023.10437583
M3 - Conference contribution
AN - SCOPUS:85187317223
T3 - Proceedings - IEEE Global Communications Conference, GLOBECOM
SP - 7562
EP - 7567
BT - GLOBECOM 2023 - 2023 IEEE Global Communications Conference
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 4 December 2023 through 8 December 2023
ER -