DocumentCode :
2814499
Title :
Adaptive congestion control of DSRC vehicle networks for collaborative road safety applications
Author :
Guan, Wenyang ; He, Jianhua ; Bai, Lin ; Tang, Zuoyin
Author_Institution :
Coll. of Eng., Swansea Univ., Swansea, UK
fYear :
2011
fDate :
4-7 Oct. 2011
Firstpage :
913
Lastpage :
917
Abstract :
Congestion control is critical for the provisioning of quality of services (QoS) over dedicated short range communications (DSRC) vehicle networks for road safety applications. In this paper we propose a congestion control method for DSRC vehicle networks at road intersection, with the aims of providing high availability and low latency channels for high priority emergency safety applications while maximizing channel utilization for low priority routine safety applications. In this method a offline simulation based approach is used to find out the best possible configurations of message rate and MAC layer backoff exponent (BE) for a given number of vehicles equipped with DSRC radios. The identified best configurations are then used online by an roadside access point (AP) for system operation. Simulation results demonstrated that this adaptive method significantly outperforms the fixed control method under varying number of vehicles. The impact of estimation error on the number of vehicles in the network on system level performance is also investigated.
Keywords :
quality of service; road safety; telecommunication congestion control; vehicular ad hoc networks; DSRC vehicle network; MAC layer backoff exponent; QoS; adaptive congestion control; channel utilization; collaborative road safety application; dedicated short range communication; emergency safety application; offline simulation based approach; quality of service; road intersection; roadside access point; Delay; Estimation; Quality of service; Roads; Safety; Vehicles; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Local Computer Networks (LCN), 2011 IEEE 36th Conference on
Conference_Location :
Bonn
ISSN :
0742-1303
Print_ISBN :
978-1-61284-926-3
Type :
conf
DOI :
10.1109/LCN.2011.6115571
Filename :
6115571
Link To Document :
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