Varied density of vehicles under city, highway and rural environments in V2V communication
by Mohammed Abdulhakim Al-Absi; Ahmed Abdulhakim Al-Absi; Hoon Jae Lee
International Journal of Sensor Networks (IJSNET), Vol. 33, No. 3, 2020

Abstract: To provide efficient vehicle to vehicle (V2V) throughput in different environments, a good radio deployment model is required to support real-time implementation. Current V2V radio propagation path loss models are based on an additional model for attenuation of an evolving obstacle such as Nakagami, Log normal, etc. These models do not take into account the effects of the vehicle on line of sight (LoS) modelling between the transmitter and receiver and also do not take into account evaluation in different environments. LoS component requires signal amplification or power. For this reason, here we present an efficient model of radio propagation path loss taking into account the obstacle in LoS under a different environmental environment. Experiments are conducted to evaluate the performance of the proposed model in terms of throughput, collision, and successful packet transmission for varied density of vehicles, taking into account the number of different compounds in different environments. The result shows that the proposed model is effective given the various densities.

Online publication date: Fri, 17-Jul-2020

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
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 Sensor Networks (IJSNET):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your 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