2015
DOI: 10.4108/cs.1.1.e6
|View full text |Cite
|
Sign up to set email alerts
|

Social Aspect of Vehicular Communications

Abstract: The interconnection of devices is expected to grow and to incorporate systems that used to be isolated. As the vehicle evolves from a simple transport machine to an intelligent entity that collects information from the environment and uses it in order to take decisions in real time, it is becoming an active member of a smart city. The integration of vehicular communications with smartphones helps vehicles connect with each other and take decisions that improve driving in terms of safety, reduced fuel consumpti… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2016
2016
2020
2020

Publication Types

Select...
2

Relationship

0
2

Authors

Journals

citations
Cited by 2 publications
(2 citation statements)
references
References 35 publications
(28 reference statements)
0
2
0
Order By: Relevance
“…It is a multi-hop routing protocol proposed for discovering strong routes in urban VANET. MURU aims to reduce the probability of path-breaking by using movement data of all vehicles and by using a unique parameter stated as expected disconnection degree factor to choose the utmost strong route from source to destination [37]. MURU prudently assumes that there will be several routes between destination and source and its aim to choose the one that is highly established.…”
Section: Figure 2 Data Dissemination In a Vanetmentioning
confidence: 99%
“…It is a multi-hop routing protocol proposed for discovering strong routes in urban VANET. MURU aims to reduce the probability of path-breaking by using movement data of all vehicles and by using a unique parameter stated as expected disconnection degree factor to choose the utmost strong route from source to destination [37]. MURU prudently assumes that there will be several routes between destination and source and its aim to choose the one that is highly established.…”
Section: Figure 2 Data Dissemination In a Vanetmentioning
confidence: 99%
“…Maglaras et al [69] proposed to rank vehicles based on the road segments that they are going to follow. They start by ranking each road segment according to how many vehicles that enter the network are going to traverse it, based on their historic data.…”
Section: Centrality Of Nodes In An Siovmentioning
confidence: 99%