Title
A traffic flow theory based density adopted emergency message dissemination scheme for vehicular ad hoc networks
Abstract
In traffic safety applications for vehicular ad hoc networks (VANETs), emergency messages have to be disseminated quickly and extensively in order to inform as many vehicles as possible in a short period of time. Hence, the broadcast storm problem is prone to occur. In the past, several approaches have been proposed to solve the problem. Among them, we find counter-, distance-, location-, cluster-, and probabilistic-based schemes. In this paper, we analyze existing protocols and present a novel scheme that is designed to mitigate the broadcast storm problem, reduce the end-to-end latency in real urban scenarios, and deal with the faults that occur during transmission. The proposed routing protocol assigns a density adopted dynamic back-off time based on traffic flow theory to vehicle. It ensures the dissemination of the emergency message onto every part of the road, and when there is no relay vehicle, the emergency message will be retransmitted. We use the GrooveNet simulator to demonstrate that the proposed scheme has a low collision probability, low overhead and a short end-to-end latency.
Year
DOI
Venue
2015
10.1109/ICOIN.2015.7057857
ICOIN
Keywords
Field
DocType
density adopted dynamic back-off time,vanet,routing protocol,road safety,relay vehicle,broadcast storm problem mitigation,rebroadcast suppression,collision probability,traffic safety application,end-to-end latency,density adopted,traffic flow theory,vehicular ad hoc networks,groovenet simulator,vanets,routing protocols,density adopted emergency message dissemination scheme,road traffic,vehicular ad hoc network,emergency message dissemination,storms
Traffic flow,Latency (engineering),Computer science,Collision probability,Computer network,Broadcast radiation,Wireless ad hoc network,Relay,Vehicular ad hoc network,Distributed computing,Routing protocol
Conference
Citations 
PageRank 
References 
0
0.34
5
Authors
3
Name
Order
Citations
PageRank
Dongxu Jin1173.08
Fei Shi2334.14
JooSeok Song330658.82