May 7, 2018 · A novel mobility adaptive routing protocol suitable for VANET environment based on distributed Q-Learning algorithm is proposed, in which each ...

Considering the distinctive characteristics of VANETs, in this paper, an adaptive routing protocol based on reinforcement learning (ARPRL) is proposed. Through ...

May 7, 2018 · In urban vehicular ad hoc networks (VANETs), the high mobility of vehicles along street roads poses daunting challenges to routing protocols and ...

Aug 14, 2024 · Furthermore, we proposed an adaptive Q-learning approach that allows adaptive routing decisions in highly dynamic networks. According to the ...

In this paper, we review reinforcement learning and its characteristics and study how to use this technique for creating routing protocols in VANETs. We propose ...

Dec 2, 2022 · Reinforcement learning based mobility adaptive routing for vehicular ad-hoc networks. ... based routing algorithm for flying ad hoc networks ...

Jan 7, 2020 · The simulation results show that the DRL-based routing is effective in routing the data packets between the source and destination vehicles than ...

Abstract. Vehicular-Ad hoc Networks are extremely important due to the potential for improving road safety, traffic monitoring, and in-vehicle infotainment ...

Dec 8, 2023 · Tang et al. have put forth a proposal for a centralised routeing system in VANET, which incorporates mobility prediction. This system is ...

Dec 3, 2022 · Abstract. Vehicular and flying ad hoc networks (VANETs and FANETs) are becoming increasingly important with the development of smart cities and ...