Optimisation methods for performance of communication interaction based on cooperative vehicle infrastructure system Online publication date: Tue, 06-Jun-2017
by Guangcheng Zheng
International Journal of Security and Networks (IJSN), Vol. 12, No. 3, 2017
Abstract: Vehicular ad-hoc network (VANET) is the main information distribution way in VANET. In this paper, the traditional handshake mechanism of enhanced distributed channel access (EDCA) model protocol in IEEE 802.11p and the request to send/clear to send (RTS/CTS) control frame were optimised, then a more reasonable and adaptive back off algorithm based on contention window was proposed, and it's called A-EDCA, and then the competition mechanism of multi communication mode based on adaptive neural network was proposed. After finishing the nonlinear neural network modelling and least mean square (LMS) learning algorithm, variety of traffic scenarios were built to verify and evaluate competition mechanism in OPNET Modeller. The simulation results show that A-EDCA can reduce the likelihood of wireless channel conflict effectively and has significant performance in term of transmission delay and throughput. The proposed competition mechanism of multi communication mode can mainly forecast the optimal communication mode accurately.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Security and Networks (IJSN):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook