Title :
Joint sensing based adaptive resource allocation for VANET networks
Author :
Dong, Heng ; Cao, Shike ; Song, Rongfang
Author_Institution :
Sch. of Commun. & Inf. Eng., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Abstract :
In this paper, a new approach of resource allocation for vehicular ad-hoc network (VANET) is proposed. The traffic model based adaptive allocation method is analyzed under different traffic flow conditions and with Markov modeling, the overall average capacity and the failure probability are derived. This method, chiefly characterized by its joint sensing and prediction of road status in neighboring cells, is proved to be able to outperform the normal uniform allocation, especially in free flow case, by simulation results.
Keywords :
Markov processes; resource allocation; telecommunication traffic; vehicular ad hoc networks; Markov modeling; VANET networks; failure probability; joint sensing based adaptive resource allocation; normal uniform allocation; traffic flow condition; traffic model; vehicular ad-hoc network; Frequency estimation; Markov chains; VANET; adaptive allocation; linear prediction;
Conference_Titel :
Communication Technology (ICCT), 2010 12th IEEE International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-6868-3
DOI :
10.1109/ICCT.2010.5688899
