Paper Info
Title
An Emergency Event Driven Routing Algorithm for Bi-directional Highway in Vehicular Ad Hoc Networks
Abstract
Vehicular Ad Hoc Networks (VANETs) play a significant role in preventing traffic accidents on the highway. But it is a challenge to reduce the messages transmission delay under emergency condition. In this paper, an emergency event driven routing algorithm for bi-directional highway is proposed. Each vehicle maintains a real-time special neighbor nodes set which includes the next-hop vehicle and vehicle ID in three different directions. In particular, when there is no vehicle ahead or behind the accident vehicles we use the vehicles from reverse direction to reduce the intermittent link. And the emergency events of vehicles are divided into two types, according to the different influence of events on vehicles ahead and behind. And different emergency events launch different transmission algorithms. This ensures that the emergency messages (EMs) can transmit to the vehicles affected much more by the emergency events. Furthermore, we derive the transmission delay formula based on the proposed algorithm. Finally, the algorithm is verified by the simulation of the transmission delay formula. The results show that the proposed emergency event driven routing algorithm can reduce the transmission delay effectively.
Year
DOI
Venue
2016
10.1007/978-3-319-52730-7_1
Lecture Notes of the Institute for Computer Sciences, Social Informatics, and Telecommunications Engineering
Keywords
Field
DocType
Vehicle Ad Hoc Networks,Emergency messages,Event-driven,Routing algorithm
Link-state routing protocol,Ad hoc On-Demand Distance Vector Routing,Computer science,Transmission delay,Computer network,Wireless Routing Protocol,Ad hoc wireless distribution service,Optimized Link State Routing Protocol,Wireless ad hoc network,Vehicular ad hoc network
Conference
Volume
ISSN
Citations 
183
1867-8211
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Yajie Yang100.34
Demin Li22810.08
Guanglin Zhang316424.00
Chang Guo492.21
Saifei Jin500.34