Toward Practical and Intelligent Routing in Vehicular Ad Hoc Networks

Celimuge Wu, Yusheng Ji, Fuqiang Liu, Satoshi Ohzahata, Toshihiko Kato
2015 IEEE Transactions on Vehicular Technology  
Besides the vehicle mobility, the data rate (bitrate) and multi-hop data transmission efficiency (including route length) have significant impact on the performance of a routing protocol for vehicular ad hoc networks (VANETs). Existing routing protocols do not seriously address all these issues, and are not evaluated for a real VANET environment. Therefore, it is difficult for these protocols to attain a high performance and work properly in various scenarios. In this paper, we first discuss
more » ... we first discuss the challenges of routing in VANETs based on the data acquired from real-world experiments, and then propose a routing protocol which is able to learn the best transmission parameters by interacting with the environment. The protocol takes into account multiple metrics specifically data transmission rate, vehicle movement and route length. We use both real-world experiments and computer simulations to evaluate the proposed protocol. Index Terms-Vehicular ad hoc networks, routing protocol, rate estimation algorithm, fuzzy logic, Q-Learning.
doi:10.1109/tvt.2015.2481464 fatcat:ga6yen76zjesdh5uos34npvvby