Research Article
Emergency Message Reduction Scheme Using Markov Prediction Model in VANET Environment
@INPROCEEDINGS{10.1007/978-3-319-60717-7_13, author={Hsin-Hung Cho and Wei-Chih Huang and Timothy Shih and Han-Chieh Chao}, title={Emergency Message Reduction Scheme Using Markov Prediction Model in VANET Environment}, proceedings={Quality, Reliability, Security and Robustness in Heterogeneous Networks. 12th International Conference, QShine 2016, Seoul, Korea, July 7--8, 2016, Proceedings}, proceedings_a={QSHINE}, year={2017}, month={8}, keywords={VANET Emergency service Markov chain Prediction model}, doi={10.1007/978-3-319-60717-7_13} }- Hsin-Hung Cho
Wei-Chih Huang
Timothy Shih
Han-Chieh Chao
Year: 2017
Emergency Message Reduction Scheme Using Markov Prediction Model in VANET Environment
QSHINE
Springer
DOI: 10.1007/978-3-319-60717-7_13
Abstract
Today’s vehicles technologies are getting better as well as the price of the vehicle is not too expensive so that almost every household has an own car. However, road space is limited so there is high opportunity to see the accidents on the high dense road. Current VANET technology has been able to inform rear vehicles do not go there so that the traffic congestion can be reduced. In this scenario, there are very large amount of emergency message will be generated. It will increase the burden of road side unit. In this paper, we propose a Markov-based model to predict behavior of vehicles so that we can identify which cars really need to receive this message. Simulation results show that this method can reduces the unnecessary message transmission indeed.