EKF-GPSR: An Extended Kalman Filter for Efficient Routing in Vehicular Networks

Younes, Sarah; Khelifi, Manel; Alioua, Ahmed; Souici, Ismahane

doi:10.1109/inista52262.2021.9548461

Cited by 1 publication

(1 citation statement)

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“…Simulation results show that the scheme is better than GPSR in some performance. S. Younes et al [23] proposed a novel Extended Kalman Filter Greedy Perimeter Stateless Routing protocol. EKF-GPSR uses a stochastic prediction model based on an EKF to obtain the user information when transmitting data instead of using information from the last beacon exchanged messages which is most likely outdated.…”

Section: Preliminary Knowledge 21 Gpsrmentioning

confidence: 99%

A Diversified Message Type Forwarding Strategy Based on Reinforcement Learning in VANET

2022

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The development of Vehicular Ad hoc Network (VANET) has greatly improved the efficiency and safety of social transportation, and the routing strategy for VANET has also received high attention from both academia and industry. However, studies on dynamic matching of routing policies with the message types of VANET are in short supply, which affects the operational efficiency and security of VANET to a certain extent. This paper studies the message types in VANET and fully considers the urgency and reliability requirements of message forwarding under various types. Based on the diversified types of messages to be transmitted, and taking the diversified message forwarding strategies suitable for VANET scenarios as behavioral candidates, an adaptive routing method for the VANET message types based on reinforcement learning (RL) is proposed. The key parameters of the method, such as state, action and reward, are reasonably designed. Simulation and analysis show that the proposed method could converge quickly, and the comprehensive performance of the proposed method is obviously better than the comparison methods in terms of timeliness and reliability.

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Section: Preliminary Knowledge 21 Gpsrmentioning

confidence: 99%

A Diversified Message Type Forwarding Strategy Based on Reinforcement Learning in VANET

2022

KSII TIIS

View full text Add to dashboard Cite

show abstract

EKF-GPSR: An Extended Kalman Filter for Efficient Routing in Vehicular Networks

Cited by 1 publication

References 10 publications

A Diversified Message Type Forwarding Strategy Based on Reinforcement Learning in VANET

A Diversified Message Type Forwarding Strategy Based on Reinforcement Learning in VANET

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