DocumentCode :
170522
Title :
A minimum delay link scheduling algorithm in vehicular ad-hoc networks
Author :
Yong Zhang ; Junyi Wang ; Jiming Lin
Author_Institution :
Key Lab. of Cognitive Radio & Inf. Process., Guilin Univ. of Electron. Lechnology, Guilin, China
fYear :
2014
fDate :
16-18 May 2014
Firstpage :
455
Lastpage :
459
Abstract :
Reducing the information transmission delay in the Vehicular Ad Hoc Networks(VANETs) can improve the timeliness of receiving information and avoid the happening of the accident. As a potential solution, cooperative transmission, which may effectively reduce the transmission delay by exploiting spatial diversity, has attracted lots of attentions recently. In this paper, we modeled the information transmission delay minimization of the VANETs in which cooperative transmission is allowed, and proposed a gradient projection algorithm based on the model. The RSU can schedule the vehicle transmission behavior according to the algorithm, so as to solve the problem of the information transmission delay minimization in the VANETs where multipath routings(MRTDM) are considered. Finally, our simulation results show that the algorithm not only has good convergence, but also can solve the MRTDM in VANETs.
Keywords :
cooperative communication; diversity reception; gradient methods; scheduling; synchronisation; telecommunication network routing; vehicular ad hoc networks; MRTDM; RSU; VANET; cooperative transmission; delay link scheduling algorithm; gradient projection algorithm; information transmission delay minimization; multipath routings; roadside units; spatial diversity; vehicle transmission behavior; vehicular ad-hoc networks; Ad hoc networks; Delays; Information processing; Minimization; Projection algorithms; Relays; Vehicles; cooperative transmission; delay minimization; gradient projection algorithm; vehicular ad-hoc networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Progress in Informatics and Computing (PIC), 2014 International Conference on
Conference_Location :
Shanghai
Print_ISBN :
978-1-4799-2033-4
Type :
conf
DOI :
10.1109/PIC.2014.6972377
Filename :
6972377
Link To Document :
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